In the tech world, developers are often celebrated for their problem-solving brilliance. Yet, behind the screen, life is messy, unpredictable, and full of tiny victories and epic fails. 

Amazon Web Services (AWS) is now changing that narrative with a refreshing series of promotional videos that lean into humour, empathy and everyday relatability. This series is presented as a micro drama with multiple episodes, following developers as they navigate multi-tasking, late-night deployments, and the constant challenge of explaining their jobs to curious five-year-olds, skeptical parents, and everyone in between. 

The campaign strings together everyday situations that every developer—and their loved ones—will instantly recognise. Take Nikhil, an engineer who builds a mood-analysing app to better understand his girlfriend’s emotions—a playful reminder that sometimes technology is less about business optimisation and more about personal survival. 

Another episode shows him explaining coding to his niece, highlighting how mentorship and inspiration can come from unexpected corners of family life. 

One of the standout moments comes when his in-laws, typically the toughest audience in any household, are won over by Nikhil; not by his resume or paychecks, but with his clever use of Alexa. AI becomes a household entertainer, turning invisible developer labour into tangible admiration. 

Of course, no developer’s journey is complete without the all-too-real scenario of burning the midnight oil. A footage shows Nikhil, shoulder-to-shoulder with a colleague, pushing through the night to finish app deployment—a mix of camaraderie, caffeine and cloud.

It’s a nod to the countless unsung moments where creativity and persistence fuel innovation at odd hours. 

In a charming twist, Alexa isn’t just a silent helper in these stories—she has a personality. She teases the developer about debugging struggles, makes cheeky remarks about neglected fitness routines and even pokes fun at laundry chaos piling up in the background. This quirky AI companion mirrors the highs and lows of a developer’s life, blending humor with human resilience. 

At its core, this campaign highlights something developers have always known: the line between work and life is porous. Deployments and deadlines bleed into family dinners, and late-night bug fixes run parallel to everyday chores. 

Why does this matter? Because the future of cloud and AI isn’t just about scale and security, it’s about people. Developers are the heartbeat of innovation, and they live in a world where solving one problem often creates three new ones—both on the screen and off. 

This campaign resonates because it mirrors the stories developers tell themselves and each other. Everyone wants an app to decode emotions, the unexpected family praise moment, or the late-night debugging war story. By wrapping these moments into episodic micro dramas, AWS offers a fresh lens on what it means to be a developer today—resilient, creative, slightly overwhelmed, but always moving forward.

Keep an eye on our LinkedIn handle for the mini-series.

Start building with AWS here.

The post A Day in the Life of an Indian Developer  appeared first on Analytics India Magazine.

The AWS GenAI Loft Bengaluru, held from July 7 to 16 at 2Moons inside 1MG Lido Mall, brought together startup founders and developers, AWS experts and community members in a vibrant, collaborative space.

Set up as a pop-up innovation hub, the GenAI Loft offered over a week of hands‑on workshops, technical deep dives and peer networking, all dedicated to strengthening developer fluency in AWS’s generative AI offerings.

Startups shared how the company’s cloud services have become central to their operations, citing scalability, reliability and breadth of offerings as key factors enabling them to build, innovate and bring products to market faster. For many, the GenAI Loft was not just an opportunity to learn but a chance to strengthen their relationship with AWS. 

They described AWS teams as active partners in their growth, providing both the technology stack and the expertise to navigate rapidly evolving AI landscapes.

From the outset, attendees described the vibe as warm and energised, with a mix of cloud-native engineering, AI creativity and informal conversations over coffee. The space felt open, organised and focused. Attendees could drop into sessions or have one-on-one time with AWS solutions architects. The overall feeling was encouraging, inclusive and highly satisfying.

Hands‑On Sessions That Transformed Knowledge into Practice

One standout workshop, titled Beyond APIs: Standardising GenAI Communication with MCP, guided developers in implementing the Model Context Protocol (MCP). 

Hosted by AWS solutions architects Ayush Agrawal and Swapnil Tiwari, the session involved hands‑on exercises in converting existing application APIs to MCP, deploying a personal MCP server and integrating GenAI applications with a unified protocol. 

Participants appreciated how the abstract concept of a protocol became tangible through live coding and deployable infrastructure, a practical skill they could apply immediately.

Moreover, an AWS GenAI Hackathon Challenge, held from July 10 to 11, brought together developers, data scientists and solutions architects for a 24-hour in-person build sprint.  

The event offered hands-on access to Amazon Bedrock’s foundation models and mentorship from AWS AI/ML experts. Participants worked in teams to solve real-world problems across domains like smart user interfaces, developer tooling and operational productivity using agentic AI. 

On July 14, AWS solutions architects Kalaivanan Sandamurthy and Keerthi Sangadala introduced participants to the transformative capabilities of Amazon Q Apps, the no-code generative AI tool within Amazon Q Business. 

The session focused on how business and technical teams can harness the power of AI to streamline workflows, automate tasks and extract actionable insights, without writing a single line of code. Attendees learned how natural language prompts could be effortlessly turned into functional, enterprise-ready applications.

In one of the more hands-on sessions, AWS solutions architects Muthu Annamalai Chidambaram and Natasha S walked participants through a session titled ‘Supercharge Employee Productivity with Vibe Coding using Amazon Q Developer’. 

They broke down how vibe coding fits into daily workflows and how it helps teams code faster, collaborate better and get more done. Real examples and clear takeaways made this one a crowd favourite.

One of the most talked-about sessions at the AWS GenAI Loft was ‘Driving Open Source AI Innovation using Llama’, hosted by Meta’s Ojasvi Bhatia and Nilesh Pandey. The room was packed as they walked the crowd through everything from Llama’s model architecture to real-world use cases that are already reshaping how companies build with AI.

Community Mixer & Hackathon: Building Together

Between the deep technical sessions, AWS also hosted the Bengaluru Launch Mixer for Startups on July 7, which brought together developers, startup leaders, investors and AWS experts in a relaxed networking format at the venue. 

Moreover, there was a fireside chat featuring Chandan Raj, CTO of Bheem, Vivek Sharma, VP of engineering at ANSR Global and Goutam Kurumella, head solution architect at AWS.

“AWS has been instrumental over the past four or five years since our inception. It is our choice to use AWS, and it has always been because of the ease across the services and the scalability, reliability, and robustness which AWS brings in all its services,” said Sharma. He added that the company’s entire dev platform is entirely on AWS. 

Raj said that Bheem has relied on AWS since its inception, building its solution using a serverless stack. “We’ve been with AWS right from the beginning,” he said, adding that both he and his CTO come from strong tech backgrounds and understand how crucial technology choices can be, especially in areas like scaling and scouting.

He emphasised that technology strategy and implementation policies can make or break a company, and AWS has played a key role in theirs. “The serverless framework and now services like Bedrock for our AI-based solutions have been tremendous partners in our journey,” he said.

The mix of people and opinions sparked thematic collaborations, informal mentorship and genuine connections. Attendees remarked that the sessions were technically rich, the atmosphere was inclusive, and they were leaving with meaningful contacts.

Final Reflections

The AWS GenAI Loft Bengaluru offered an exceptional mix of technical depth, hands-on workshops and community engagement. More than just an event, it became a space to learn, build and connect with the AWS GenAI ecosystem.The atmosphere was engaging and supportive, the venue was well-organised, and the sessions gave attendees a real sense of accomplishment and clarity. Whether someone attended a single workshop or participated in the full itinerary, the feedback was consistent—participants left not only more technically skilled but genuinely inspired.

The post AWS GenAI Loft Bengaluru Brings Startups and Developers Together to Learn and Build appeared first on Analytics India Magazine.

Microsoft and Google Cloud are making progress in the cloud services market, closing the gap with AWS. In the recent quarter ending June 2025, both companies reported strong earnings, indicating positive growth. 

On July 31, 2025, Microsoft stock saw a significant rise of roughly 4-5%, elevating its market value to around $4.01 trillion during that trading session. This achievement makes Microsoft only the second publicly traded company to exceed a $4 trillion valuation, after NVIDIA. 

Analysts believe Microsoft’s exclusive partnership with OpenAI has made Azure the top choice for AI-focused companies, moving it ahead of competitors.

“Since GPT-4’s launch, Azure has consistently added more to its ARR than AWS. In two of the previous eight quarters, Google has booked more new ARR than Amazon,” said Tomasz Tunguz, venture capitalist at Theory Ventures. “Both Microsoft & Google have stronger AI value propositions than Amazon with OpenAI models & Gemini models. And it shows in their growth rates.”

While Microsoft does not usually disclose Azure’s quarterly figures, CEO Satya Nadella reported Azure’s annualised run-rate for the first time during Q4 (ending June 2025). “Azure surpassed $75 billion in annual revenue, up 34%,” he said during the earnings, adding that Microsoft “took [share] every quarter this year”.  In comparison, Google Cloud’s annual revenue run-rate was $50 billion. 

Microsoft’s Intelligent Cloud segment, which includes Azure and server products, reached $29.9 billion in the quarter ending June 2025, a 26% increase year-on-year. Meanwhile, AWS generated $30.9  billion in sales, up 17.5%. And Google Cloud reported a revenue of $13.6 billion, up 32%. 

AWS still leads in scale, but Azure and Google Cloud grow faster. AWS’s 17.5% revenue growth lags behind its competitors. AWS now has an annualised revenue run rate of $123 billion.

Tunguz noted that with Azure and Google Cloud Platform expanding more rapidly than AWS, the once-dominant incumbent’s market position could result in three equally strong players. “The next trillion dollars in cloud revenue will flow to the platforms that best integrate AI into every layer of their stack,” he said. 

That said, AWS continues to lead the global cloud infrastructure services market, securing a 30% share in Q2 2025 (ending June), according to the latest figures from Synergy Research Group.

Microsoft followed suit with 20% market share, while Google Cloud claimed 13% during the same period.

“This is a good time to be a cloud provider. Despite being on the verge of becoming a hundred billion dollar per quarter market, cloud revenues are still growing by around 25% per year, and we are forecasting that average annual growth over the next five years will remain above 20%,” said John Dinsdale, a chief Analyst at Synergy Research Group in their latest research report on cloud market.

GenAI has dramatically accelerated what was already a large and fast-growing market, he added. “In Q2, we saw growth of 140–180% in GenAI-specific cloud services,” Dinsdale said, adding that AI is also driving additional gains across the broader cloud portfolio. 

Beyond enterprise cloud, the impact extends to digital services as well, with strong double-digit growth seen in social media and search revenues.

Azure Rocks 

During the earnings call, Nadella said that every Azure region is now AI-first. 

He said that software improvements have dramatically boosted efficiency across the GPT-4o family of models running on Azure. “Through software optimisations alone, we are delivering 90% more tokens for the same GPU compared to a year ago,” he said.

Nadella further added that the company has opened new Data centres across six continents, totalling 400 data centres across 70 regions. Moreover, Microsoft said it plans to spend a record $30 billion on capital expenditure in the first quarter of this fiscal year (ending September 2025).

Citing OpenAI as an example, he shared that Azure is powering mission-critical workloads at scale. “Cosmos DB is in the hot path of every ChatGPT interaction, storing chat history, user profiles, and conversational state,” Nadella said, adding that Azure PostgreSQL handles metadata essential to ChatGPT’s functioning and OpenAI’s developer APIs.

AWS Expands AI Stack

Meanwhile, Amazon CEO Andy Jassy said that AWS is seeing strong demand for its generative AI offerings and described it as a fast-growing multibillion-dollar business, with demand outpacing supply. 

He added that AWS continues to support organisations of all sizes in their cloud transition, recently signing agreements with companies like PepsiCo, Airbnb, Peloton, NASDAQ, London Stock Exchange, Nissan Motor, GitLab, SAP, Warner Bros. Discovery, 12 Labs, FICO, Iberia Airlines, SK Telecom, and NatWest.

Jassy shared updates on AWS’s AI stack across hardware, foundation models, developer tools, and applications.

On the hardware front, Jassy said, “Trainium2 is landing capacity in larger quantities and has emerged as the backbone for Anthropic’s newest generation Claude models and many of our most essential offerings like Amazon Bedrock.” AWS has also launched EC2 instances powered by NVIDIA Grace Blackwell Superchips, its most powerful GPU-accelerated offering to date.

In foundation models, Jassy noted that Anthropic’s Claude 4 is “the fastest-growing model ever in Bedrock.” Amazon’s model, Nova, has seen strong adoption and is now the second most popular on the platform. 

AWS also launched Kiro, a new agentic IDE. “There’s a lot of buzz around Kiro,” Jassy said. The platform attracted more than 100,000 developers in the first five days of preview. 

Google is Upping the Game

Google CEO Sundar Pichai highlighted strong enterprise momentum for Google Cloud and its Gemini platform in the first half of 2025. He said that the number of deals over $250 million doubled year-over-year, and that in the first half of 2025, the company signed the same number of deals over $1 billion as it did in all of 2024.

Pichai also shared that the number of new Google Cloud Platform customers rose nearly 28% quarter-over-quarter. “More than 85,000 enterprises, including LVMH, Salesforce, and Singapore’s DBS Bank, now build with Gemini,” he said, adding that this has driven a 35x increase in Gemini usage year-over-year.

Google has also partnered with OpenAI to offer its cloud services. “Google Cloud is an open platform, and we have a strong history of supporting great companies, start-ups, AI labs, et cetera,” said Pichai.

The post Microsoft Azure, Google Cloud Gobble Up AWS  appeared first on Analytics India Magazine.

Back-to-back AI-led product releases by AWS indicate that the company is doubling down on software development. At its DevSphere India 2025 event in Bengaluru, the company introduced a new AI-led approach called the AI-Driven Development Lifecycle (AI-DLC).

Unveiled by Swami Sivasubramanian, VP of agentic AI at AWS, AI-DLC is a methodology that places AI at the core of software development and is now freely accessible on the AWS Builder Center. “Our goal is to help customers build and deploy software faster, with AI managing implementation and humans focusing on strategy,” he said during the keynote address.

In the days leading up to the event, AWS also launched several agentic software development tools such as Kiro and Strands Agents, expanding its portfolio alongside Bedrock, Amazon Q Developer and the AWS CLI.

The company said that AI-DLC is designed to work with these tools and allows teams to condense software development timelines from months to days by using AI to handle tasks like planning, coding, testing and deployment with human oversight at each step.

Instead of just prototypes, AI-DLC starts with real-world business problems and integrates AI into every stage of the software life cycle. At each step, AI proposes a plan, outlines its approach and seeks human validation before execution. “Humans review what it has done and validate the plan, address any issues,” Sivasubramanian said.

Early Customers

AWS shared that Wipro and Persistent Systems are among the early customers of AI-DLC. 

Wipro CTO Sandhya Arun said the IT company partnered with AWS to test the AI-DLC in a real-world setting. She shared that a small cross-functional team from three global locations came together for a 20-hour workshop to simulate the AI-first build approach.

“We said, nothing that AI can do will be done by a human,” she said. The team, which included product owners, developers, testers and business leaders, tackled an enterprise-scale problem with the full complexity of global operations.

By following an AI-first development model, the team delivered multiple models, built a React-based UI and integrated MuleSoft APIs, all within 20 hours. “It was truly enterprise scale in terms of all the enterprise constraints,” Arun said.

Previously, Persistent Systems had used Amazon Q Developer to upgrade legacy Java code, which was 83% faster than doing it manually. Neil Fox, senior vice president at Persistent Systems, said that the future is outcome-based and not based on lines of code.

Fox argued that while AI coding has sparked excitement, organisations still struggle with adoption and measurable benefits. “We need a new manifesto,” he said, comparing the moment to the birth of the Agile Manifesto in 2001.

In parallel, AWS is working to prepare the future workforce for AI-native careers. Students enrolled in AWS Academy now receive 12 months of free access to AWS Skill Builder, a platform offering foundational and specialised AI content. 

For developers, AWS has also launched the AWS AI League, a competition encouraging hands-on experimentation with real-world business problems using generative AI. The programme includes up to $2 million in AWS credits for developers who build and fine-tune AI models through the platform.

Human Oversight Still Critical

Anupam Mishra, director for developer programmes for India and South Asia at AWS, said the company’s goal is not to hand over control to AI, but to maintain human judgment throughout the process. 

Sharing the stage with him, Raja SP, head of developer acceleration at AWS, said the key lies in structured collaboration. “The first step is to verify and regulate the plan. That’s where human oversight comes in.” He added that once the plan is clarified, developers can follow it. 

According to Raja, AI-DLC is not just about individual coding tasks. It is a full-cycle methodology for building production software at scale. “It’s especially good for teams building large, complex systems,” he said, adding that the right context for AI is extremely important. “Each step needs to produce a narrower and narrower context for AI to do the next one well.”

Eliminating Delays in Requirements to Execution

Mishra also criticised the traditional sequential flow from product manager to business analyst to engineer, calling it inefficient and alienating. “This should not be the case. AI is already taking care of generating initial documentation and user stories.”

He described how AWS helps its customers bring together product managers, quality assurance specialists and engineers in the same room. Mishra said the process begins with defining the problem statement, which AI then translates into user stories. The entire team provides oversight, and within hours, a diverse set of tasks is ready to move forward.

This eliminates months of meetings. “Everybody’s aligned, nobody’s waiting for their manager’s sign-off and approval for a specific level of employee…All of those decisions are taken in the room in one go, and the work which takes many months gets done in a couple of hours,” Mishra further said.

The post AWS is Wooing Developers, Yet Again appeared first on Analytics India Magazine.

Amazon reported financial results for Q2 2025, with net sales of $167.7 billion, up 13% year-on-year.

Net income reached $18.2 billion, compared to $13.5 billion a year ago. AWS’ revenue grew 17.5% to $30.9 billion, slightly above analysts’ expectations. It contributed $10.2 billion in operating income, out of Amazon’s total operating income of $19.2 billion. It has an annualised revenue run rate of $123 billion.

Andy Jassy, president and CEO of Amazon, said that the company has expanded Alexa+ to millions of customers and made it much easier for software developers to write code with Kiro, Amazon’s new agentic IDE. Moreover, it has launched Strands to make it easier to build AI agents and released Bedrock AgentCore to enable agents to be operated securely and scalably.

“AWS continues to build a large, fast-growing, triple-digit year-over-year percentage, multi-billion-dollar business, with more demand than we have supply for at the moment,” he said during the earnings call. 

Amazon reported cash capital expenditures of $31.4 billion in Q2 2025, with AWS remaining the primary driver. The company said this level of investment is likely to continue through the second half of the year.

“We expect Q2 capex to be reasonably representative of our quarterly capital investment rate for the back half of this year,” Amazon CFO Brian T Olsavsky said.

Much of the spending is directed toward meeting demand for AI services, with ongoing investments in custom silicon like Tranium, chips, data centres and power infrastructure. “We will continue to invest more capital in chips, data centres and power to pursue this unusually large opportunity that we have in generative AI,” Olsavsky added.

Meanwhile, Microsoft reported Intelligent Cloud revenue of $29.9 billion in Q4 2025, an increase of 26%. Within this segment, Azure and other cloud services grew by 39%, signalling sustained enterprise demand for Microsoft’s infrastructure and platform offerings.

“Cloud and AI are the driving force of business transformation across every industry and sector,” Satya Nadella, chairman and CEO of Microsoft, said. “We’re innovating across the tech stack to help customers adapt and grow in this new era, and this year, Azure surpassed $75 billion in revenue, up 34%, driven by growth across all workloads.”Google Cloud reported a revenue of $13.6 billion in Q2 2025, up by 32% from a year ago. “To give a sense of progress, in 2015, all of Alphabet’s revenue added up to $75 billion. YouTube and Cloud alone ended 2024 at an annual run rate of $110 billion,” CEO Sundar Pichai said.

The post AWS Beats Microsoft Azure and Google Cloud in Q2 2025 Revenue appeared first on Analytics India Magazine.

ICICI Lombard has partnered with Amazon Web Services (AWS) to complete a cross-region disaster recovery (DR) upgrade, moving its secondary setup from AWS’s Mumbai region to the Hyderabad region. The shift ensures continued access to critical applications in the event of service disruption, with automated failover and real-time validation.

The insurer’s business-critical applications are now backed by a fully cloud-native, automated DR solution using AWS services such as Elastic Disaster Recovery, AWS Step Functions and infrastructure-as-code. This supports continuous data replication between sites and automatic switchover through domain-based routing.

“ICICI Lombard has successfully executed a full-site disaster recovery (DR) drill, marking a significant milestone in our digital resilience journey,” Girish Nayak, technology and health (underwriting and claims) chief at ICICI Lombard, said. “We seamlessly transitioned all business applications to our secondary cloud region, demonstrating our readiness to operate without disruption during unforeseen events. This was not just a test of technology, but a validation of vision.”

Nayak said the automated setup reduces manual intervention and reinforces the company’s strategy of maintaining business continuity and meeting regulatory requirements. “Our partnership with AWS is a cornerstone in future-proofing our digital infrastructure, moving us from recovery preparedness to true continuity assurance,” he added.

Kiran Jagannath, head of financial services and conglomerates of AWS India and South Asia, said, “AWS is pleased to collaborate with ICICI Lombard to secure its mission-critical workloads, ensuring faster application recovery, greater reliability and data protection through a fully automated data recovery process.”

The initiative reflects ICICI Lombard’s broader technology strategy, having previously migrated its core policy issuance and claims platforms to the cloud. The company has continued to modernise its infrastructure within the BFSI sector and strengthen its digital operations to handle growing climate, operational and technology-related risks.

The post ICICI Lombard and AWS Implement Automated Disaster Recovery Setup in Hyderabad appeared first on Analytics India Magazine.

Tata Communications, a prominent player in global communications technology, has announced a partnership with Amazon Web Services (AWS) to create an advanced AI-ready network in India.  

This strategic alliance will establish a high-capacity and resilient long-distance network that links three key AWS infrastructure sites, facilitating the proliferation of generative AI and promoting cloud innovation within the country.  

The collaboration represents one of the largest network deployments by Tata Communications in India, notable for its size, scale and bandwidth.  

“This association marks our largest ever National Long-Distance program and showcases Tata Communications’ unparalleled capability to support large-capacity, complex projects requiring scaled network solutions,” Genius Wong, executive vice president (core and next-gen connectivity services) and CTO at Tata Communications, said.

AWS operates two data centre regions in India, located in Mumbai and Hyderabad, along with AWS Direct Connect and AWS Edge Network facilities in Chennai.  

The network will connect the AWS infrastructure in Mumbai, Hyderabad and Chennai through a comprehensive national long-haul network, establishing a solid infrastructure backbone for AI and machine learning tasks throughout India.  

The partnership focuses on enhancing network connectivity using Tata Communications’ advanced infrastructure for high-bandwidth, low-latency AI applications. AWS will implement its custom network technologies to ensure top-level security and performance. 

This collaboration aims to empower Indian businesses to develop scalable AI solutions, driving innovation in healthcare, finance and education while ensuring robust data security and compliance.

The company states that the new network will deliver high performance and scalability, which are crucial for next-generation AI applications. By using Tata Communications’ advanced network, AWS will enable Indian businesses to develop GenAI applications and train models quickly. 

It will feature express routes with ultra-low latency for efficient data transfer and processing, which is vital for AI and ML workloads.

“The infrastructure is designed to support the most data-intensive workloads, like 5G, generative AI, and high-performance computing. This collaboration with Tata Communications will further enable our customers in India to innovate at scale with cloud and generative AI, and drive growth in India’s rapidly expanding digital economy,” Jesse Dougherty, vice president for Network Edge Services at AWS, said.

The post Tata Communications Partners with AWS to Develop Advanced AI-Ready Network in India appeared first on Analytics India Magazine.

Time is ticking for vector database companies. 

Cloud giant AWS has launched the preview of Amazon S3 Vectors, a new vector storage solution that allows businesses to store and query AI-ready data at scale, with cost savings of up to 90% compared to traditional methods.

The service introduces a new type of bucket called vector buckets within Amazon S3, which comes with dedicated APIs to store, access, and query vector data without the need to provision any infrastructure. Each bucket can hold up to 10,000 vector indexes, and each index can store tens of millions of vectors.

“Amazon S3 Vectors is the first cloud object store with native support for large vector datasets combined with subsecond query performance,” AWS said in its blog post. “This makes it cost-effective for businesses to store AI-ready data at a massive scale.”

Vector search, commonly used in generative AI applications, involves comparing vector representations of data to find similar points based on similarity or distance metrics. These vectors are usually generated from unstructured data using embedding models.

With integrations into Amazon Bedrock, SageMaker, and OpenSearch, S3 Vectors positions itself as a versatile and cost-effective solution for AI-driven use cases like semantic search, retrieval-augmented generation (RAG), and media indexing. However, does this spell the end for specialised vector database companies like Pinecone, Weaviate, and Qdrant?

The Threat to Vector Database Companies

The announcement of S3 Vectors has sparked intense discussion, with some speculating that it could disrupt the vector database market. 

Arpit Bhayani, creator of DiceDB, told AIM that while S3 Vectors will likely take some market share due to its better price-performance benefits, it won’t dominate the entire space. “They will eat the share, but not much,” he said, adding that for use cases requiring absolute performance and specialised query capabilities, users will continue preferring dedicated vector databases.

“The rise of services like Amazon S3 Vectors underscores a broader trend we’ve seen over the past year: the decline of specialised, standalone vector databases,” Manvinder Singh, vice president of AI product management at Redis, said.

He added that pure-play vector databases are finding it increasingly difficult to evolve beyond their narrow focus.

This sentiment has also been echoed on social media. “I think S3 will end up killing more startups over the course of the next few years than AI would. S3 Tables, Express one and Vectors are going after quite a bit,” Neelesh Salian, a software engineer, wrote in a post on X.

Others were more blunt in their assessment. “S3 Vectors are here. Vector databases are dead before RAG,” Aniket Maurya, research engineer at Lightning AI, said on X. 

Nicholas Khami, CEO of Trieve, stated that if he were building Trieve from scratch today, he wouldn’t choose Qdrant again. “S3 Vectors plus OpenSearch Serverless is all you need. Full stop.”

Pinecone, a leading vector database company, informed AIM that it doesn’t see the new AWS project as direct competition and reaffirmed its long-standing partnership with the cloud provider. A spokesperson noted that Pinecone has been closely collaborating with AWS for years and was named AWS’s 2024 GenAI Innovator Partner of the Year.

“We were informed of this project in advance and do not consider it to be directly competitive,” the spokesperson said, adding that Pinecone remains unmatched in agentic, search, and recommender use cases that require low latency, high QPS, and accurate retrieval at scale. “We look forward to continuing our work together to help joint customers build knowledgeable AI.”

This is not the first time vector database companies have been called out. In earlier conversations with AIM, executives from MongoDB, TiDB, and CockroachDB also argued that vector search capabilities can be integrated directly into their databases.

Boris Bialek, vice president and global field CTO at MongoDB, told AIM that vector search is simply a basic search index technology, not something magical or new. He was critical of the hype around vector databases, especially startups that branded themselves with .ai and attracted large valuations.

“Vector search is just a search technology, basically a reverse index. But companies raised massive venture capital by calling it search and adding .ai, and suddenly their valuations hit $100 billion,” he said. 

Bialek pointed out that traditional databases, like Postgres with pgvector, have added vector support. However, these solutions often fail at large-scale, real-world workloads. He contrasted this with MongoDB’s approach, which integrates vector search and text search but runs them as independent, scalable processes, avoiding performance conflicts.

He added that embedding vectors into databases isn’t difficult, but doing it at scale with performance, context, and manageability is where things get challenging.

Similarly, Cockroach Labs CEO Spencer Kimball told AIM that they have integrated vector indexing into their database. However, he clarified that CockroachDB is not trying to become a general-purpose vector database or compete with OpenSearch, Elastic, or MongoDB on vector search. 

“If you’re already using CockroachDB for mission-critical relational workloads, you want vector support there. Not everyone needs that. But for our users, it’s essential.”

He further said that the company is not trying to win the market for the vector index. “We’re not a vector database. However, it’s a very important modality.”

Ed Huang, CTO of PingCAP, the company behind TiDB, said that instead of building a separate system, it makes more sense to add vector indexing to an existing database that already handles other data types. He prefers storing everything in a single database with a unified interface like TiDB, rather than splitting it across specialised systems such as separate vector or document databases.

With AWS S3 Vectors, the value proposition is clear because organisations can store and query vectors directly in S3 instead of paying for a specialised vector database. This is especially relevant for cost-sensitive users, such as individual developers or small teams, who have found solutions like OpenSearch or Aurora prohibitively expensive.

Why Vector Databases aren’t Dead Yet

Specialised vector databases also offer advanced features that S3 Vectors may not fully replicate. For example, Qdrant’s recently launched Cloud Inference service simplifies AI development by generating, storing, and indexing embeddings in a single environment, reducing the complexity of managing multiple infrastructures. 

Similarly, Milvus and Weaviate excel in hybrid search scenarios that combine vector and structured data queries, with sub-10ms latency on complex workloads, something S3 Vectors may struggle to match.

Bhayani said vector queries are quickly becoming standard across databases and even blob storage. “We are seeing a trend where vector queries are becoming the norm in every single database, and now even blob storage,” he said.

He added that people will initially choose convenience by using vector queries in their primary database. “Slowly, as the requirements become more niche, they will move to specialised solutions,” he concluded.

The post ‘Vector Databases are Dead Before RAG’ appeared first on Analytics India Magazine.

Most AI coding tools assist developers in getting started but struggle with the final output, as they often encounter documentation delays, missing tests, and broken integrations. 

AWS’s new IDE, Kiro, launched on July 14 in free preview, aims to address these issues with a spec-driven workflow that supports developers from prompt to production.

“It’s fun and feels like magic to prompt your way to a working application,” said Nikhil Swaminathan, product lead for agentic developer experience at AWS. “But getting it to production requires more.”

Kiro is positioned as an agentic IDE, an environment where AI agents collaborate throughout the software development lifecycle, not just at the prototyping stage.

In an exclusive interview with AIM, Srini Iragavarapu, director of generative AI applications and developer experiences at AWS, said Kiro was built by a lean internal team that had been observing how AI-assisted coding evolved over time.

The IDE supports Claude Sonnet 4 and 3.7 and includes agentic workflows, multimodal capabilities, and spec automation.

Iragavarapu further added that one of the features the team had planned ahead of Kiro’s launch was a notification system, something that would alert the user once an agent completed a task in the IDE, allowing them to focus on other work in the meantime.

“That kind of feature would typically take us a few weeks to build across Windows, Mac, and Linux,” Iragavarapu said. “But the team used Kiro itself to build it, within days.”

Spec-Driven Development at the Core

At the heart of Kiro is spec-driven development, where the IDE interprets the developer’s intent and builds structured specs before generating code. 

Explaining how Kiro handles development tasks, Iragavarapu said the IDE first tries to understand the context of what the developer is trying to do. Instead of jumping straight into generating code, it starts by talking to the developer.

“It will provide specifications of sorts, like a step-by-step task list,” he said. Developers can then review and adjust these tasks before execution.

Kiro then sequences the tasks based on dependencies and adds metadata such as unit tests, accessibility requirements, and loading states. Progress can be tracked through manual triggers, inline diffs, and agent execution logs.

Developers can trigger tasks manually and monitor their progress, with inline code diffs and execution history available for review.

“Specs are artifacts that prove useful anytime you need to think through a feature in-depth, refactor work, or understand system behaviour,” said Swaminathan. These specs evolve with the codebase and stay in sync throughout development.

Kiro also analyses the existing codebase to generate technical designs, including TypeScript interfaces, database schemas, API endpoints, and data flow diagrams, reducing ambiguity between design and implementation.

Agent Hooks

Another unique feature in Kiro is agent hooks, which allow users to automate development workflows by monitoring source code for specific triggers, Iragavarapu explained. 

“It is always listening to your code changes, and when your code changes…it will automatically update your documentation.” He explained that in a typical setup, developers often make frequent code changes, but the documentation doesn’t get updated in real time. This leads to mismatches that need to be manually fixed later.

Additionally, developers can define agent steering documents to set architectural or coding guidelines. For instance, Iragavarapu shared how he instructed Kiro to ‘use React,’ ‘write TypeScript,’ and follow a specific directory structure. The AI follows these rules throughout the development process.

Available Now in Preview

The tool is currently available in a free preview. Developers can sign in with GitHub, Google, or existing AWS IAM Identity Centre credentials. Pricing tiers will be announced when the product reaches general availability.

Kiro currently supports Claude Sonnet 4 and 3.7, with options for developers to switch between the two. “More models are coming soon,” confirmed Iragavarapu, who also noted the IDE’s multimodal capabilities. Developers can upload hand-drawn architecture diagrams and have them converted into AWS CDK code.

Kiro complements Amazon Q Developer. “If you already have a Q Developer subscription, you can also use Kiro,” said Iragavarapu. 

Moreover, Kiro supports default MCP (Managed Context Provider) servers but also lets developers plug in custom ones, including internal or private sources. This means users can bring additional context into the IDE, whether from public or private MCP servers. 

Built on Code OSS, Kiro remains compatible with existing VS Code settings and Open VSX plugins.

Inside Amazon, employees already use internal MCP servers to enhance development workflows.“If you have your own favourites or your own private MCP servers, you can use them,” Iragavarapu said.

Facing the Competition

AWS is stepping into a crowded, highly competitive space. Google recently hired the founders of Windsurf in a $2.4 billion licensing deal. Tools like Cursor, GitHub Copilot, Replit, and Lovable have already built strong developer followings. 

When asked how they plan to challenge these, Iragavarapu said the goal is not to replace but to offer an alternative option. “We are providing options to developers. The way Kiro differentiates itself is through spec-driven development, advanced agent hooks, and agent steering, all from ideation to deployment.”

He clarified that while Copilot might assist in code generation, Kiro focuses on delivering production-ready features by automating and enforcing the full development lifecycle.

AWS is treating the preview phase as a learning opportunity. “We’ll share examples of what Kiro has built internally soon,” Iragavarapu said, adding that the goal is to iterate quickly and evolve Kiro into a production-grade, AI-first development environment.

The post AWS Enters the Vibe Coding Market with Kiro AI  appeared first on Analytics India Magazine.

Amazon Web Services (AWS) has launched the AWS Space Accelerator: APJ 2025, a 10-week programme for space-tech startups in India, Japan, Australia, and New Zealand. 

The initiative aims to support up to 40 startups working in space infrastructure, earth observation, and drone systems by offering business mentorship, AWS technical support, and up to $100,000 in cloud credits.

Applications are open from July 8 to September 5, 2025, with the programme starting in September and culminating in a demo day in December 2025. The initiative will run both virtually and in person.

AWS partners such as T-Hub, Minfy, Fusic, and Ansys, alongside space agencies like IN-SPACe and the Australia Space Agency, will help deliver the programme.

T-Hub will manage operations and host the initiative in India. Minfy Technologies will provide AWS training and technical support in both India and Australia.

In Japan, Fusic will offer technical mentorship, while Ansys will assist startups globally with simulation and design testing.

Startups in Different Sectors

This accelerator builds upon the 2024 India edition, which supported 24 startups across various fields, including propulsion, satellite imagery, and quantum key distribution. Several of these participants secured customer contracts or investments and advanced core technologies.

The new programme targets startups focused on earth observation and remote sensing, satellite manufacturing and propulsion, and drone technologies that complement space infrastructure. These focus areas aim to improve agriculture, climate resilience, and connectivity in remote areas.

By leveraging AWS cloud tools, participants can experiment rapidly, reduce costs, and validate solutions before large-scale deployment, addressing key challenges such as capital-intensive testing and the need for specialised talent.

Local Partnerships to Boost Innovation

Clint Crosier, director of aerospace and satellite at AWS, said, “The collaboration with Australian Space Agency, IN-SPACe, iLAuNCH, and Sky Perfect JSAT underscores our commitment to working with local space agencies and industry leaders.” 

He added that through this accelerator programme, the company aims not only to support individual startups but also to build a robust community that can drive economic growth and technological advancement throughout the region.

The accelerator arrives at a time of regional momentum in India’s space industry, as it is projected to grow to $44 billion by 2033. Meanwhile, Japan aims to expand its space economy to ¥8 trillion (~$52 billion) by the early 2030s.

The post AWS Launches Space Accelerator to Support 40 Startups Across India, Japan, and Australia appeared first on Analytics India Magazine.

At the AWS Summit in Mumbai, two themes stood out—scale and impact. Sandeep Dutta, president of AWS India and South Asia, opened the keynote by recalling two historic moments in India’s space journey—Mangalyaan’s Mars Orbiter Mission in 2014 and Chandrayaan-3’s landing near the lunar south pole in 2023. Both missions, he explained, were executed on budgets lower than that of the Hollywood film Gravity. “It proved beyond point our ability to create impact at scale and to be able to sustain that scale.”

AWS is following a similar approach in India with large-scale, cost-effective efforts focused on impact. This year, the company is hosting three summits in Bengaluru, Mumbai and online, with over 50,000 participants expected.

“This is not just another summit. It is a platform that allows us to propel the ambitions of our developers, customers and partners across India,” Dutta said. 

National-Scale Impact, Citizen-Centric Technology

Dutta showcased how AWS is being used in projects that have national reach. The Poshan Tracker app from the women and child development ministry supports over 100 million beneficiaries across 1.4 million Anganwadi centres. “Poshan Tracker has truly become a citizen-scale nourishment monitoring platform,” he said.

In the private sector, Juspay’s digital payments platform now processes $900 billion annually—up from $10 billion in 2010—and has reduced the cost per transaction by 45%. Dutta described this as “India’s ability to harness complex technology to serve all sections of society.”

According to him, DigiLocker is a strong example of citizen-scale innovation, with more than 526 million users and 9.4 billion documents issued since 2015. He added that IndiaMART is helping break down language barriers in digital commerce, serving 350 million users weekly and translating over 5.5 million products with around 90% accuracy.

Deepening Commitment to India

AWS is ramping up its India investments. By 2030, it plans to invest $12.7 billion across its Mumbai and Hyderabad regions, contributing $23.3 billion to India’s GDP and supporting over 1.31 lakh full-time jobs annually.

The company has also trained 5.9 million Indians in cloud skills since 2017, part of its efforts to bridge the national skill gap. “We continue to stay committed towards working towards India’s skilling needs,” Dutta said.

Generative AI: India’s Competitive Edge

Dutta shared several examples of how companies in India are using generative AI to drive efficiency and unlock new revenue opportunities. Zomato, for instance, has reduced its restaurant image processing time from 48 hours to 8 hours and brought down rejection rates from 75% to just 5%.

Dhan, an online trading platform, has achieved a sixfold increase in trade execution speed and secured a 0.1% price advantage, moving from the 300th to the 9th position among online trading platforms in India. 

He also reiterated AWS’s sustainability push. Amazon is now the world’s largest corporate buyer of renewable energy and holds 1.3 GW of renewable energy contracts in India. Tree-planting initiatives across summit locations added a local sustainability angle.

Finally, AWS is launching its Marketplace in India, which Dutta likened to the “UPI moment of enterprise software procurement”. Users will be able to buy software in local currency, using UPI, credit cards, or net banking, and receive localised invoices.

Quoting Dr APJ Abdul Kalam, Dutta said, “Our dreams have to be bigger, our ambitions higher, our commitments deeper and our efforts greater,” promising to bring that energy to India’s transformation journey.

Building Blocks of Innovation

Ganapathy Krishnamoorthy, vice president of database services at AWS, followed with a more technical perspective. “What if we could build anything you can imagine? At AWS, we give you the building blocks to do just that,” he said.

He explained AWS’s approach to modular infrastructure, services that do one thing well and can be combined. For AWS, he said, security starts “right at the silicon and goes all the way up the stack”.

AWS has built over six million kilometres of private fibre-optic cable and grown its network’s back-end capacity by 80% last year.

Compute, Storage, and AI at Scale

Krishnamoorthy detailed the compute advancement, including over 850 EC2 instance types and long-standing collaboration with NVIDIA. New P6 instances, for example, feature NVIDIA’s latest GPUs and offer fast access to training infrastructure via EC2 Capacity Blocks.

He gave the example of Canva as a customer scaling generative AI to serve over 220 million monthly users.  

Krishnamoorthy also introduced Graviton4, AWS’s custom chip, which is 45% faster and 60% more energy-efficient than its predecessor. AI-focused chips like Trainium2 offer up to 4x training speed and 3x energy efficiency, with customers like Anthropic already using them.

Storage and Data as a Foundation

On storage, Krishnamoorthy spoke about S3’s evolution to handle advanced formats like Apache Iceberg. A new S3 bucket type will simplify data management, and S3 metadata tables will allow SQL queries using tools like Spark and Redshift.

Databases remain his focus area. AWS has added vector support in Aurora for GenAI and launched new capabilities to ensure high availability, low latency, and minimal operational overhead. He hinted at more developments based on ongoing feedback from enterprise users.

Customers Delight 

Leaders from Comviva and Maruti Suzuki shared how their organisations are leveraging AWS’ cloud and AI technologies to serve billions, modernise operations, and reshape customer experiences at scale.

In the Fintech space, Comviva has enabled over 500 million people in underserved regions to access digital financial services. “People who were deprived of basic banking services in Africa, parts of Asia, and Eastern Europe are now connected financially,” Rajesh Chandiramani, CEO at Comviva said.

AI plays a central role in personalisation and process automation. Comviva’s MarTech platform uses Amazon Bedrock and Amazon Q to deliver hyper-personalised customer experiences. Its telco automation solution, BlueMarble BSS, simplifies operations and enables bundling of new offerings, aided by AWS infrastructure and AI tools.

To support this scale, Comviva adopted multi-tenant architectures using EC2, RDS, and monitoring tools to serve four billion users in the near future. “We are building AI-first, cloud-ready technologies made in India for the globe,” Chandiramani said.

On the other hand, Tapan Sahoo, head of digital enterprise, information and cyber security at Maruti Suzuki India, said the company has digitised 24 of 26 customer touchpoints and launched specialised apps for services like loyalty management and car maintenance. “This is our most ambitious project yet, a one-stop solution for consumer mobility needs and beyond,” he said.

Built on AWS, the platform uses services such as OpenSearch, Amazon RDS, Kafka, and microservice-based architectures. The platform already serves over 1 lakh customers and includes features from booking to service tracking to loyalty management.

Conclusion

The AWS Summit in Mumbai was less about product announcements and more about signalling how AWS sees India, not just as a market but as a global innovation hub. The focus was on national-scale impact, localised infrastructure, and India-specific use cases, all pointing toward one goal: building from India, for India, and the world.

The post India Builds for the World with AWS at the Centre appeared first on Analytics India Magazine.

A new study by Amazon Web Services (AWS) and Access Partnership reveals that 83% of organisations in India have appointed Chief AI Officers (CAIOs) to fast-track the adoption of generative AI, with another 15% planning to do so by 2026.

According to the study, Generative AI Adoption Index, 64% of Indian companies have prioritised generative AI in their 2025 budgets — ahead of security (21%) and compute (10%) — prompting the appointment of dedicated AI executives.

“We see a growing recognition of AI as a transformative technology that requires strategic leadership at the highest levels and a structured approach to change management,” said Satinder Pal Singh, head of solution architecture, AWS India and South Asia.

The study surveyed 415 senior IT decision-makers across sectors, including financial services, ICT, manufacturing, and retail. It highlights a shift in leadership, with CEOs, CTOs, and CIOs previously leading AI efforts, but now giving way to dedicated AI executives due to the complexity and scale of integrating generative AI.

The report points to an increased focus on developing organisation-wide AI strategies. While 75% of organisations currently lack a change management strategy to support employees through AI transitions, this number is projected to fall to 9% by the end of 2026.

GenAI Roles in Demand

Nearly 98% of organisations are already using generative AI tools, with a majority actively experimenting. Roughly half are expected to move to production by 2025. Currently, 43% of organisations have fully integrated generative AI into their workflows.

Many organisations have developed training plans to address growing AI talent demands. However, decision-makers cite challenges such as unclear skilling needs, implementation uncertainty, and budget constraints. Besides, limited understanding of employees’ skilling needs, uncertainty about effective training methods, and budget constraints hamper training and hiring. 

Despite these hurdles, 99% of organisations expect to hire for generative AI roles in 2025.

Organisations are taking a hybrid approach to AI adoption. Nearly two-thirds of the firms surveyed plan to use custom applications built on out-of-the-box models, while many are opting for fine-tuned models enhanced with proprietary data. 

Only 42% plan to use out-of-the-box models with minimal customisation.

To support this transition, AWS has launched a $100 million Generative AI Innovation Centre to connect organisations with AI experts. The company also offers over 80 free courses through AWS Skill Builder and works with partners such as TCS, Infosys, and Wipro to support industry-specific implementations.

The post Despite Skill Gap, 99% of Indian Cos to Hire for GenAI Roles in 2025  appeared first on Analytics India Magazine.

The AWS Summit Mumbai 2025, scheduled for June 19, 2025, at the iconic Jio World Convention Centre, is set to be one of India’s most significant tech gatherings of the year. This free, one-day event offers an unparalleled opportunity for business leaders, cloud architects, developers, and AI innovators to come together and explore how cloud computing and generative AI are transforming industries across India and beyond.

A Platform for Innovation and Transformation

Under the theme “From India to the World: Innovating the Future,” AWS Summit Mumbai brings stories of how Indian businesses are scaling new heights with cloud, AI, and secure digital infrastructure.

From tech founders to enterprise leaders, it’s a place to explore what’s next, share bold ideas, and learn practical tools to thrive in an ever-changing digital landscape.

A Keynote Built for the Age of AI

Tapan Sahoo, head of digital enterprise, information and cyber security at Maruti Suzuki India 

A seasoned leader with 30+ years of experience, Sahoo drives Maruti Suzuki’s digital transformation through AI, ML, and strategic collaborations. He focuses on enhancing customer experience and operational efficiency across the value chain.

Rajesh Chandiramani, CEO at Comviva
With over three decades in tech leadership, Rajesh is leading Comviva’s growth through innovation in customer experience and data monetisation. His insights centre on leveraging digital platforms to drive performance and engagement.

Ganapathy (G2) Krishnamoorthy, vice president, databases at AWS

G2 leads AWS’s database strategy, integrating advanced vector search and LLM capabilities. He empowers customers to build scalable, AI-powered data solutions.

Sandeep Dutta, president, AWS (India & South Asia)

Sandeep Dutta champions digital transformation across sectors in India and South Asia. His leadership underpins AWS’s expansion and cultural shift toward cloud-led innovation.

Customer breakout sessions are worth attending 

AI-driven visual inspection solution for residential solar panel installations
Chetan Makvana, Senior Solutions Architect, AWS India
Vikram Bansal, Enterprise Architect, Tata Power

Analytics to Agentic AI: Building comprehensive business transformation with Snowflake AI Data Cloud
Bharath Suresh, Senior Partner Solution Engineer, Snowflake

Build without limits with AWS Cloud infrastructure
Trushant Vasudeo, Principal Solutions Architect, AWS India

Data foundation for analytics and AI: From data to outcomes at scale
Vinay Kumar, Principal Product Manager – Data and AI, AWS

There will be more than 30 breakout sessions covering topics like generative AI, data strategy, cloud modernisation, and industry-specific innovations.

Key Reasons to Be at AWS Summit Mumbai 2025

India is emerging as a global leader in cloud-first and AI-driven innovation. AWS Summit Mumbai stands at the forefront of this transformation, offering a unique platform to:

• Gain insights from industry pioneers and technology experts on leveraging cloud and AI for business growth.
• Discover practical solutions and strategies to modernise operations and innovate at scale.
• Experience live demonstrations and engage with cutting-edge AI technologies.
• Network with AWS partners, customers, and peers to build valuable connections.
• Learn from real-world customer success stories and use cases that demonstrate how AWS is reshaping industries.

Event Details at a Glance

• Date: June 19, 2025
• Time: 10:00 AM – 4:30 PM (Registration from 8:00 AM)
• Venue: Jio World Convention Centre, Mumbai

In summary, AWS Summit Mumbai 2025 offers a comprehensive, immersive, and inspiring experience that equips attendees with the knowledge, tools, and connections to lead their organisations into the future of technology. 

The post Why You Should Not Miss AWS Mumbai Summit 2025  appeared first on Analytics India Magazine.

The AWS Summit Mumbai 2025, scheduled to be held at the Jio World Convention Centre on June 19, promises to be a standout event within India’s AI landscape. This premier one-day conference brings together industry leaders, technology experts, and business strategists to explore how cloud computing and generative AI are transforming enterprises across sectors. 

A highlight of the summit is its impressive lineup of keynote speakers, each a distinguished leader driving innovation. Here is a closer look at the keynote speakers and their remarkable contributions to their respective fields.

Tapan Sahoo

Head of Digital Enterprise and Information & Cyber Security, Maruti Suzuki India

Tapan Sahoo is a visionary leader spearheading Maruti Suzuki’s digital transformation agenda. With over three decades of experience in product development, vehicle engineering, and program management, Sahoo has a proven record of turning innovative concepts into tangible products. 

In his current role, he integrates advanced technologies like AI, machine learning, and augmented reality to improve customer experience and operational efficiency. He also builds strategic partnerships with startups and academic institutions to advance Maruti Suzuki’s value chain.

Rajesh Chandiramani

CEO, Comviva

Rajesh Chandiramani brings over 30 years of leadership experience to Comviva, a global leader in customer experience and data monetisation solutions. As the CEO, he is steering the company through its next phase of growth, focusing on innovation and excellence in intelligent software platforms. 

Before joining Comviva, Rajesh held senior leadership roles at Tech Mahindra, where he led strategic markets and spearheaded initiatives in cloud, AI, cybersecurity, and blockchain. His keynote promises insights into leveraging digital platforms to elevate business performance and customer engagement.

Ganapathy (G2) Krishnamoorthy

Vice President, Databases, AWS

Ganapathy Krishnamoorthy, known as G2, is a key figure in AWS’s database and analytics strategy. He has been instrumental in integrating advanced vector search and storage capabilities into AWS databases, enabling large-scale use cases and supporting foundational large language models. His expertise offers a deep dive into how AWS is advancing data infrastructure, empowering customers to build innovative, AI-powered solutions.

Sandeep Dutta

President, AWS (India & South Asia) 

Sandeep Dutta brings over 20 years of experience in leading large-scale digital transformations, previously serving as the Indian business lead at Accenture. As president of AWS India and South Asia, he plays a critical role in driving AWS’s mission to empower businesses, governments, and communities across the subcontinent to realise their digital potential. 

Dutta emphasises that cloud adoption is not just a technological shift but a cultural transformation that unlocks innovation pathways and long-term impact. His leadership is central to expanding AWS’s footprint and fostering digital innovation in India.

Don’t miss the opportunity—Register now!

The AWS Summit Mumbai 2025 keynote sessions featuring these industry and technology leaders promise to offer invaluable perspectives on cloud computing, AI, and digital transformation. 

Attendees will gain insights into how leading enterprises harness AWS technologies to innovate, scale, and compete globally, all while driving India’s emergence as a powerhouse of tech innovation.

This is a must-attend event for CXOs, CTOs, IT leaders, developers, data scientists, and innovation officers eager to explore the future of cloud and AI-driven business transformation. Join the conversation and be inspired by these trailblazers shaping the future of technology in India and beyond.

The post AWS Summit Mumbai 2025: Unveiling the Blockbuster Lineup of Speakers appeared first on Analytics India Magazine.

AWS Summit Mumbai, one of India’s most anticipated AI events, is set to take place at the Jio World Convention Centre on June 19, 2025.

This one-day free conference, which will run from 10 am to 4:30 pm, brings together pioneers of innovation, top business minds, and technology experts from across the country for a powerful deep dive into the future of cloud computing and generative AI.

Under the theme ‘From India to the world: Innovating the future’, the summit serves as a platform for conversations that explore how enterprises in India are transforming industries and scaling their innovations globally with AWS.

Where:  Jio World Convention Center

When: June 19, 2025

Register here 

A Future-Ready Experience

Whether you’re a C-suite executive shaping enterprise strategy or a developer building the next big product, the AWS Summit Mumbai promises actionable insights for every level of the cloud journey. 

This year’s edition focuses on how sectors like manufacturing, financial services, media, and technology are unlocking business value using AWS’s enterprise-grade infrastructure, advanced AI capabilities, and a robust security foundation.

Expect a high-energy day packed with:

• 1 keynote from AWS leaders and industry technologists
• 30+ breakout sessions covering topics like generative AI, data strategy, cloud modernisation, and industry-specific innovations
• 50+ partners showcasing AWS-powered solutions and tools
• 50+ demos and interactive experiences, including hands-on workshops and lightning talks
  

Who Should Attend?

The summit brings together professionals driving digital and business transformation. Whether you’re exploring the cloud for the first time or refining an existing architecture, you’ll gain strategies, hear success stories, and make connections to help advance your organisation.

Ideal For:

• CXOs, CIOs, and CTOs
• Digital transformation leaders and business strategists
• IT directors, solution architects, and infrastructure engineers
• Data scientists, ML engineers, and DevOps teams
• Cloud architects, developers, and security specialists
  

A Full-Day Agenda to Power Your Thinking

8:00 am – Registration and networking breakfast
10:00 am – Welcome note
10:30 am – Keynote featuring AWS executives and tech leaders
12:00 pm – Lunch
1:30 pm – Breakout sessions across verticals and technologies
4:00 pm – Closing keynote
4:30 pm – High tea and networking

Don’t Miss These Experiences

Generative AI Experience

Explore the cutting edge of AI with 30+ sessions, demos, and hands-on experiences in the AI Hub and Builders Zone. Try out Amazon Bedrock, Amazon Q, and PartyRock, and discover how to build secure, responsible generative AI solutions at scale.

Business Innovation Hub

From Startups to SMBs to Public Sector innovators and ISVs, the Business Innovation Hub brings four key communities under one roof. With live demos, networking lounges, and AWS resources, each zone offers tailored guidance for every stage of business growth.

Industry Hub

Get sector-specific insights into how AWS is transforming financial services, retail, healthcare, manufacturing, and media. Talk to experts, watch live demos, and hear from customers driving tangible results with AWS technology.

Why You Should Attend

India is fast becoming a global hub for cloud-powered innovation, and AWS Summit Mumbai is where this momentum comes alive. If you’re looking to drive impact, scale responsibly, and reimagine your organisation’s future with cloud and AI, this is where you start.

Register now and be part of the movement shaping India’s digital future.

Where:  Jio World  Convention Center

When: June 19, 2025

Register here 

The post AWS Summit Mumbai 2025 Brings Cloud and AI Leaders Under One Roof appeared first on Analytics India Magazine.

India is emerging as a global force in software development, and the next six months could further define how developers across the region build, scale, and maintain digital systems. 

Speaking with AIM, Anupam Mishra, director for developer programs for India and South Asia at AWS, shared how AI, open protocols, and a growing developer community are driving these shifts.

AWS sees developers not just as coders but as key contributors to the digital economy. “Developers have an outsized impact on the economy. They’re the ones creating products that go on to become large companies and successful startups,” Mishra said.

Mishra, citing Evans Data Corporation, said that India has the second-largest population of developers. “We believe there’s never been a better time to be a developer,” he said. 

He added that with AI coding tools like Amazon Q, the job of developers has never been easier. For instance, Persistent Systems, an AWS customer, used Amazon Q Developer to upgrade legacy Java code. “The process was 83% faster than doing it manually,” Mishra said. 

Mishra further added that AWS is also introducing agentic tools that do more than just suggest improvements. “Agentic capabilities are becoming more common, where developers expect AI not only to tell them what to do but also to act on it,” Mishra said. 

Tools like Amazon Q Developer now come with agents for code and security reviews. “Sometimes, as a developer, it’s hard to think about all possibilities. The tool looks at vulnerabilities that have happened in the past and highlights them,” he said.

Notably, the company recently announced the general availability of AWS Transform, a new AI tool to accelerate the migration and modernisation of enterprise workloads.

The company said it helps organisations complete transformation projects up to four times faster by automating complex migration tasks through agentic AI. The service supports modernisation for key enterprise platforms, including VMware, mainframes, and .NET applications. 

Mishra said it allows developers to focus more on design and building things that truly matter. “We’re supporting them with AI tools to drive this productivity, whether it’s Java upgrades, moving away from legacy systems like mainframes, or even transitioning from older platforms like VMware,” he added.

Mishra said ​​tools like Q Developer are continuously updated based on developer feedback. He said developers using AWS’s .NET modernisation tools reported four times faster conversion speeds from Windows to Linux. “79% of change requests generated are accepted without modification,” he added.

The .NET agent supports porting Windows-based applications to Linux, potentially cutting operating costs by up to 40% by reducing licensing and maintenance requirements. It also transforms code, runs unit tests, and validates Linux-readiness, enabling parallel transformation of hundreds of applications.

The mainframe agent assists in decomposing monolithic z/OS COBOL applications into cloud-ready components. Meanwhile, the VMware agent helps enterprises avoid rising licensing costs by automating migration planning. Through automated discovery and dependency mapping, tasks that usually take weeks can now be completed in minutes.

Earlier this year, the company also launched Amazon Q CLI Developer Agent, an AI-powered command-line interface tool to accelerate software development workflows directly within the terminal environment. 

Mishra said it enables developers to bring these AI-powered capabilities into their workflows, whether for testing, documentation, refactoring, or deployment. “The goal isn’t just to help with coding, but to make AI useful across the full lifecycle, from idea to implementation–removing repetitive tasks and helping teams become faster, more innovative, and agile.”

Last year, Amazon CEO Andy Jassy revealed that by leveraging Amazon Q, the company was able to save 4,500 developer years of work. He said that in under six months, the company has been able to upgrade more than 50% of its production Java systems to modernised Java versions at a fraction of the usual time and effort.

“We had developers from one of our teams who had to upgrade a lot of code from older versions of Java. We use a lot of Java — Java 7 and Java 8 — and it would have taken almost 4,500 years to convert that in a normal way, but it was done in a matter of days,” said Mishra.

Open Protocols and New Developer Workflows

Another growing area is the use of open protocols to connect AI tools with external systems. AWS recently launched support for MCP (Model Context Protocol), which lets generative AI agents interact with databases, developer tools, and more. 

“If you’re a developer and have a PostgreSQL database, you can now say ‘Find the number of students’ and the agent can interact directly with the database. Earlier, it couldn’t,” Mishra said. “MCP allows our tools, or generative AI, to talk to several tools in a conversational manner. It now has more context available.”

Amazon Q Developer CLI (a command-line interface tool for developers) can now connect to MCP tools — either via AWS’s pre-built integrations or any MCP-compatible server that supports stdio (standard input/output).

The barrier to adoption is low. “It’s a small configuration change, just a few lines of code,” Mishra said.

Bullish on India 

AWS is working closely with the community to build trust and ensure adoption. The company currently runs 26 user groups across India. “We have 250 AWS Heroes across 53 countries. 20 of those are in India,” Mishra said. These community leaders share feedback, test tools early, and engage in peer learning.

Looking ahead, AWS expects the adoption of natural language interfaces and agentic tools to grow. Mishra said that Amazon Q Developer now supports languages like Hindi as well.

An IDC report projects that 70% of digital solutions will feature natural language interfaces by 2028. “That’s a forward-looking projection, but we’re already seeing it take shape,” Mishra said.

India’s developer ecosystem is not just keeping pace. It is influencing how software is built globally. With a strong community and growing access to cutting-edge tools, the role of developers is expanding beyond code. As Mishra put it, “It’s an economy shaped by developers.”

The post How AWS Overhauls Legacy Code for Good appeared first on Analytics India Magazine.

AWS has released Strands Agents, an open source SDK for building and deploying AI agents with minimal code. The framework adopts a model-driven approach, allowing developers to use prompts and tools directly, without complex orchestration logic.

“Strands scales from simple to complex agent use cases, and from local development to deployment in production,” the company said in the press release. Teams across AWS, including Amazon Q Developer, AWS Glue, and VPC Reachability Analyzer, are already using Strands in production.

Strands is positioned as a lightweight alternative to existing frameworks that require elaborate workflow definitions. “Compared with frameworks that require developers to define complex workflows for their agents, Strands simplifies agent development by embracing the capabilities of state-of-the-art models to plan, chain thoughts, call tools, and reflect,” the announcement noted.

Strands Agents allows developers to define three components in code — the model, tools and a prompt.

It supports a wide range of models, including those from Amazon Bedrock, Anthropic, Meta (via Llama API), Ollama, and others through LiteLLM. Tools can be custom Python functions or pre-built utilities that interact with files, APIs, and AWS services.

The agent interacts with the model and tools in a loop until it completes the assigned task. “The Strands agentic loop takes full advantage of how powerful LLMs have become and how well they can natively reason, plan, and select tools,” the announcement said.

Strands also includes advanced tools to handle complex use cases. These include a retrieve tool for semantic search, a thinking tool to simulate deep analysis, and multi-agent tools for workflows and collaboration. 

“By modelling sub-agents and multi-agent collaboration as tools, the model-driven approach enables the model to reason about if and when a task requires a defined workflow, graph, or swarm of sub-agents,” the company said.

Strands Agents is available on GitHub. Companies like Accenture, PwC, Meta, and Anthropic are already contributing. “Anthropic has already contributed support in Strands for using models through the Anthropic API, and Meta contributed support for Llama models through Llama API.”

The initiative stems from the Amazon Q Developer team’s own challenges with early agent frameworks. “Even though LLMs were getting dramatically better, those improvements didn’t mean we could build and iterate on agents any faster,” Clare Liguori, senior principal software engineer for AWS Agentic AI said, adding that what once took months now takes “days and weeks” with Strands.

The post AWS Launches Strands Agents Open Source SDK for AI Agent Development appeared first on Analytics India Magazine.

AWS recently held its AWS Summit 2025 in Bengaluru on May 7 and 8 at the KTPO Exhibition Center in Whitefield, bringing together over fifteen thousand attendees, including developers, partners and customer, to explore the advancements shaping India’s AI infrastructure.

Sandeep Dutta, President of India & South Asia, AWS, set the context by reflecting on India’s digital journey, pointing out the increase in internet penetration from 0.5% of the population 25 years ago to an estimated over 900 million users by the end of the current year. 

He emphasised India’s capability to adapt complex technology for widespread access and national-scale transformation. Dutta cited examples like Prasar Bharti’s Wave OTT platform, which reached over 550 million users, and the Ministry of Women and Child Development’s Poshan Tracker app, which supports 100 million beneficiaries.

He spoke about the role of partnerships and customer trust in driving this transformation. Dutta mentioned the depth of trust earned and recognition for AWS’s culture, which includes principles of customer obsession and bias for action. This trust, he stated, is “powering some of India’s leading digital ambitions.” 

He also highlighted the growth of Razorpay, India’s leading fintech firm, hosted on AWS servers. The startup handled $180 billion in transactions in May 2024 compared to $1 billion in 2017, reducing costs by 75%, he said.  

India’s digital public infrastructure, such as Aadhaar, which has 1.3 billion digital identities, and UPI, which handles approximately 18 billion monthly transactions, was presented as a distinguishing factor. 

Moreover, AWS reiterated its commitment to India, referencing its regional presence in Mumbai and Hyderabad, and a planned investment of $16.4 billion by 2030. 

Dutta also announced that AWS will launch the AWS Marketplace in India later this year. The platform will include India-specific features, allowing users to interact with sellers in Indian rupees (INR). He added that it will support net banking, credit cards, and UPI.

In addition to technology, Dutta brought up sustainability, pointing out Amazon’s role as the world’s largest corporate buyer of renewable energy. This commitment is evident in India, with 1.3 gigawatts of renewable energy contracts and local initiatives like tree planting in Odisha.

AWS is reshaping businesses in the era of AI 

Dutta characterised generative AI as “not another technology wave” but something that will fundamentally alter the paradigms of business operation. 

Examples of early adoption in India include DigiYatra, which uses visual recognition to improve travel experiences, and Razorpay, which leverages Bedrock to create an AI assistant, Atlas, to accelerate content localisation, aiding its expansion to over 35 countries. 

The discussion extended to the importance of culturally aware AI models. 

On the second day of the summit, Dr. Pratyush Kumar, co-founder of Sarvam AI, one of AWS’s customers, shared his company’s focus on building AI exclusively for India, addressing the nuances of Indian languages and use cases. Kumar introduced the concept of “sovereign AI,” emphasising the need for strategic autonomy, data residency, and the ability for countries and eventually enterprises to build and optimise models internally. 

Sarvam AI is working on foundational models for Indian languages and specific verticals like conversational AI and enterprise chat to drive widespread access to this technology for India’s large population.

From language models to developer tools, AI took centre stage across domains.

Abhijit Kane, co-founder of Postman, also shared how Postman leverages AWS services like container orchestration, Lambda, and Aurora to power their AI-driven API management platform, supporting their mission to enable connected developers.

Postman’s rapid growth has been closely tied to its evolving partnership with AWS. Kane explained that much of the company’s expansion happened as it moved from a single monolith to over 80 microservices, each managed by different teams. AWS played a crucial role in this shift by helping the company scale, control costs, and maintain high developer velocity.

He said that AWS helped Postman grow from 0.5 million to 40 million users and  added that managing the nuanced interactions between microservices at that scale demands “a strong and mature cloud provider.”

Similarly, Murali Brahmadesam, CTO and head of engineering at Razorpay, discussed the company’s growth, AI-driven innovations, and how AWS has supported its scaling, including handling financial transactions and using AI to identify anomalies.

Satinder Pal Singh, Director, Solution Architects (India & South Asia), AWS, shared examples of Zepto, Angel One, and Amnic, highlighting how each has scaled operations, improved efficiency, or reduced costs using AWS services. He said Zepto grew from one dark store to hundreds across India in just three years and now handles millions of deliveries daily. Its entire tech stack is built natively on AWS, covering everything from supply chain optimisation to last-mile delivery. 

Angel One, a leading player in the retail fintech space, has built a super app on AWS using a microservices architecture and container services. According to Singh,  this has helped them cut application deployment times from days to minutes while reducing costs by over 18%. 

The third example, Amnic, is a startup that has used AWS’s generative AI and identity capabilities to build a solution called FinOps.

The summit also featured a Generative AI Experience with hands-on demos, over 30 AI-focused breakout sessions, and live demos of tools like Amazon Q and PartyRock for building secure, responsible AI applications.

Building Blocks and Innovation at Scale

Sirish Chandrasekaran, vice president, Analytics, AWS, detailed the foundational building blocks that enable customers to innovate and scale. He made it clear that security is integrated in from the silicon all the way through the stack, keeping customer data safe. The scale is supported by AWS’s rapidly expanding global network. 

He added that AWS operates the largest private network, with over 6 million kilometres of fibre optic cabling connecting its regions, availability zones and edge locations.

Chandrasekaran elaborated on compute options, including Amazon EC2 with over 850 instances catering to diverse workloads, from mission-critical enterprise applications to compute-intensive tasks like scientific modelling and machine learning. 

Accelerated computing for AI workloads was highlighted with AWS’s partnership with NVIDIA and the upcoming P6 instances featuring NVIDIA’s Blackwell GPU. 

Its investment in custom silicon was also presented as a key differentiator. Graviton processors, now in their fourth generation, offer performance improvements and significantly lower energy consumption compared to comparable x86-based CPUs. 

Purpose-built AI chips like Inferentia and Tranium2 were discussed for their price performance benefits in AI training and inference, with Anthropic utilising Tranium2 for its Project Rainier compute cluster.

Singh announced that Tranium3 is coming soon. 

Storage was another building block discussed, tracing the evolution of Amazon S3 as “storage for the internet.” With over 400 trillion objects, S3 supports various AWS services. Recent innovations include native support for Apache Iceberg table format, simplifying the management and querying of large analytical datasets, and S3 Metadata, enabling automatic creation and querying of system metadata and custom tags for objects.

Santanu Dutt, head of technology, Asia Pacific and Japan, commented on the evolution of AI, identifying the “Attention is all you need” paper, the Transformer architecture, and GPU capacity as key inflexion points that led to the recent acceleration in the field.

The summit conveyed a message of collective effort in driving India’s digital transformation. As Dutta quoted Ratan Tata, “If you want to walk fast, walk alone. But if you want to walk far, walk together.” This sentiment captured the spirit of partnership between AWS, its customers, and its developer ecosystem in shaping the future of India’s digital economy.

The post AWS Summit Bengaluru Proves Cloud and AI are India’s New Infrastructure appeared first on Analytics India Magazine.

HUMAIN, a subsidiary of Saudi Arabia’s Public Investment Fund, on Tuesday entered a strategic partnership with NVIDIA to develop AI factories in the Kingdom, beginning with a deployment of 18,000 NVIDIA GB300 Grace Blackwell chips.

The announcement came during a White House-led visit to the region that included U.S. President Donald Trump and several prominent CEOs. During the trip, Trump secured a $600 billion investment pledge from the Kingdom, which is the largest commercial agreement ever between the two countries.

HUMAIN and NVIDIA will build hyperscale AI data centres powered by several hundred thousand NVIDIA GPUs over five years, with a projected capacity of up to 500 megawatts. The infrastructure will support the training and deployment of sovereign AI models and accelerate digital transformation across sectors.

“Together with HUMAIN, we are building AI infrastructure for the people and companies of Saudi Arabia to realise the bold vision of the Kingdom,” said Jensen Huang, founder and CEO of NVIDIA.

As part of the initiative, HUMAIN will use NVIDIA Omniverse to support simulation and digital twin development in manufacturing, logistics and energy, advancing what the two firms call the “physical AI” era.

“This collaboration with HUMAIN marks a turning point, building the AI factories of the future, unlocking compute and powering the next era of physical AI,” said His Excellency Eng. Abdullah Alswaha, minister of communications and information technology.

The partnership also includes large-scale workforce training programmes. Thousands of Saudi developers will be trained in AI, robotics and digital twin technologies as part of broader national efforts under Vision 2030.

“Our partnership with NVIDIA is a bold step forward in realising the Kingdom’s ambitions to lead in AI and advanced digital infrastructure,” said Tareq Amin, CEO of HUMAIN. “Together, we are building the capacity, capability and a new globally enabled community.”

Meanwhile, following several days of speculation, the U.S. Department of Commerce has officially withdrawn the Biden administration’s Artificial Intelligence Diffusion Rule, just before it was scheduled to take effect.

Originally announced in January by then-President Joe Biden, the rule was intended to impose new export controls on U.S.-made AI chips to a broader set of countries, while strengthening existing restrictions. It was set to be enforced from May 15.

NVIDIA is not Alone 

Oracle has reaffirmed its support for Saudi Arabia’s Vision 2030, announcing a $14 billion investment over the next decade. The company stated that the investment will expand access to advanced cloud and AI technologies in the Kingdom, contributing to innovation and economic growth. 

Similarly, AMD and HUMAIN have announced a strategic agreement to develop what they describe as the world’s most open, scalable, and cost-efficient AI infrastructure. 

The initiative includes a planned investment of up to $10 billion over five years to deploy 500 megawatts of AI compute capacity across a global network of AMD-based data centres, stretching from Saudi Arabia to the United States.

AMD will provide its full AI compute portfolio, including the ROCm open software ecosystem, while HUMAIN will oversee end-to-end deployment, including hyperscale data centres, sustainable energy systems, and global fibre interconnects.

“At AMD, we have a bold vision to enable the future of AI everywhere—bringing open, high-performance computing to every developer, AI start-up and enterprise around the world,” said Dr. Lisa Su, Chair and CEO of AMD. “Our investment with HUMAIN is a significant milestone in advancing global AI infrastructure.”

HUMAIN has also chosen Groq, a US chipmaker and Nvidia rival, to handle its inference operations, according to a report by Semafor. 

AWS announced a $5 billion-plus investment to create a groundbreaking “AI Zone” in the Kingdom. This first-of-its-kind AI Zone will feature dedicated AWS AI infrastructure, advanced semiconductors, UltraCluster networks for enhanced AI training and inference, and AWS services like SageMaker and Bedrock.

The post NVIDIA to Deploy 18,000 Chips for AI Data Centres in Saudi Arabia appeared first on Analytics India Magazine.

Amazon Web Services (AWS), the cloud computing division of Amazon announced on Wednesday that it will launch the AWS Marketplace in India this year. 

AWS India president Sandeep Dutta took the stage at the AWS Summit in Bengaluru and called the development ‘the UPI moment for enterprise software development.’ 

Dutta also mentioned that the platform will have India-specific features, allowing users to interact with sellers using Indian rupees (INR). He added that the platform will support net banking, credit cards, and UPI. 

AWS Marketplace enables customers to purchase, deploy, and manage a variety of third-party software services to meet their business needs. It offers a broad range of solutions across different categories, including security, machine learning, business productivity, data analytics, and more. AWS Marketplace offers over 3 million subscriptions and 20,000 + product categories across over 5,000 sellers. 

Earlier this year, AWS pledged to invest ₹60,000 crore to create new data centers in Telangana, expanding upon their current $1 billion investment in three operational centers in the region. They also plan to invest an additional $4.4 billion by 2030. Furthermore, the company announced an $8.3 billion investment in cloud infrastructure in Maharashtra as part of its expansion into the AWS Asia Pacific (Mumbai) Region.

Last week, AWS reported earning a revenue of $29.3 billion in Q1 2025. This marks a 17% year-over-year increase. However, this growth is slightly lower compared to the 18.9% year-over-year increase recorded in Q4 2024.

“Before this generation of AI, we thought AWS had the chance to ultimately be a multi-hundred-billion-dollar revenue run rate business. We now think it could be even larger,” said Andy Jassy, CEO of Amazon, in the earnings call.

The post AWS Marketplace In India is a ‘UPI Moment for Enterprise Software Procurement’ appeared first on Analytics India Magazine.

Amazon Web Services (AWS), the cloud computing and services subsidiary of e-commerce giant Amazon, reported on Thursday that it earned a revenue of $29.3 billion in Q1 2025. This marks a 17% year-over-year increase. However, this growth is slightly lower compared to the 18.9% year-over-year increase recorded in Q4 2024.

“Before this generation of AI, we thought AWS had the chance to ultimately be a multi hundred billion dollar revenue run rate business. We now think it could be even larger,” said Andy Jassy, CEO of Amazon in the earnings call. 

Recently, Alphabet, in the Q1 2025 earnings, stated that Google Cloud revenues represented a 28% year-over-year growth to $12.3 billion. 

On the other hand, Microsoft reported Q1 2025 revenue from the Intelligent Cloud segment was $26.8 billion, a 21% increase. This included a 22% rise in server products and cloud services revenue, led by a 33% growth in Azure and other cloud services.

In Q1 2025, AWS expanded its AI portfolio with major releases under the Amazon Nova family. This includes Nova Sonic, a speech-to-speech foundation model for building human-like voice agents, Nova Act SDK, designed to enable AI agents to take browser-based actions, and Nova Premier, a multimodal model for complex tasks like coding and video understanding. 

The company also added new third-party foundation models to Bedrock, including Claude 3.7 Sonnet from Anthropic, DeepSeek’s R1, Meta’s Llama 4, and Mistral’s Pixtral Large.

Recently, it announced an update to Amazon Q Developer, which now supports languages such as Chinese, Hindi, Spanish, French, Korean, and Portuguese, enabling natural conversations in multiple development environments.

The post AWS Records $29.3 Billion Cloud Revenue in Q1 2025, Beats Microsoft and Google  appeared first on Analytics India Magazine.

AWS Summit Bengaluru 2025 continues to take shape, marking a celebration of the generative AI momentum in India. This year’s theme, ‘From India to the World: Innovating the Future,’ highlights the role of Indian enterprises, startups, and developers in driving global digital transformation through AWS. 

The event will explore how Indian organisations are using cloud technologies, generative AI, and advanced data services to build scalable and sustainable solutions. At the heart of these two days is an exceptional speaker lineup—individuals who aren’t just talking about the future but actively building it.

Where: Bengaluru, India | KTPO Exhibition Center, Whitefield

When: May 7–8, 2025

Register here

From Builders to Visionaries

Whether you’re driving business transformation or writing the next line of code, these speakers will spark ideas, share playbooks, and offer a rare behind-the-scenes look at how innovation happens.

Rafee Tarafdar – Executive Vice President and CTO at Infosys

Rafee leads the company’s strategic technology vision and innovation agenda. With a focus on shaping Infosys’ digital and AI-first offerings, he plays a pivotal role in driving the adoption of next-generation technologies across global enterprises. 

Rafee champions the use of open-source platforms, responsible AI, and agile engineering to help businesses accelerate their digital transformation journeys.

Ramki Gaddipati – Co-Founder, Zeta

Ramki brings decades of experience scaling technology in fintech. At Zeta, he’s building cloud-native core banking systems that are powering the future of finance. His talk will explore how startups from India can build infrastructure that scales globally.

Murali Brahmadesam – CTO & Head of Engineering, Razorpay

Murali leads one of India’s most successful digital payment platforms. He’ll unpack how Razorpay is leveraging AWS to meet the demands of real-time transactions and deliver resilient, compliant services at scale.

Abhijit Kane – Co-Founder, Postman

Postman has redefined how APIs are developed and tested. Abhijit will discuss building for developers, the API-first movement, and how AWS enables Postman to serve over 25 million users worldwide.

AWS Leadership at the Helm

Go behind the curtain with AWS leaders who are helping organisations reimagine what’s possible in the age of AI and cloud-native innovation.

Sirish Chandrasekaran – VP, Analytics, AWS

Sirish will discuss how organisations can unlock the value of data in a generative AI world—going from collection to insight to action.

Sandeep Dutta – President of India & South Asia, AWS

From empowering unicorns to digitally transforming legacy enterprises, Sandeep brings a strategic view on how Indian innovation is shaping global outcomes with AWS.

Santanu Dutt – Director of Technology, APJ, AWS

With a pulse on cloud transformation across Asia-Pacific, Santanu will share stories of scalable, responsible AI adoption and how customers are solving industry-specific challenges.

Satinder Pal Singh – Director, Solutions Architects, AWS India

Satinder will bring a builder’s lens to the summit, guiding developers and architects through the AWS toolbox—from Amazon Bedrock to Amazon Q—and showcasing how to build secure, scalable AI applications.

Don’t Just Attend—Participate in the Future

Whether you’re a CXO defining a vision or a developer building the next-gen stack, these speakers will leave you with powerful insights and tools to take your innovation further, faster.

The 2025 edition is split into two distinct tracks: the Innovators Edition on May 7 and the Technical Edition on May 8. This enables participants to select sessions tailored to their specific roles and interests.

Innovators Edition – May 7

The Innovators Edition is tailored for business and strategy leaders interested in understanding how emerging technologies are reshaping industries. Sessions will focus on organisational transformation, success stories from AWS customers, and strategies for scaling using cloud infrastructure and AI.

Technical Edition – May 8

The Technical Edition is designed for developers, engineers, and practitioners looking to deepen their knowledge of AWS technologies. The session includes hands-on workshops, live demonstrations, and technical sessions on topics like generative AI, machine learning, and secure AI application development.

Participants will gain exposure to tools such as Amazon Bedrock and Amazon Q, along with technical content ranging from foundational to expert-level.

Breakout Track Customer Speakers to Look Out For

Zepto’s Growth Story Powered by AWS

Speakers: Kayalvizhi Kandasamy, Principal Solutions Architect, AWS India; Nikhil Mittal, CTO, Zepto

Zepto is redefining India’s quick commerce game with 10-minute deliveries, powered by AWS. This session explores how Zepto uses AWS for scalable infrastructure, real-time analytics, and optimized logistics—from inventory management to route planning—to deliver everything from groceries to premium electronics at lightning speed.

Accelerating VMware Modernization with Amazon Q Developer

Speakers: Amit Kumar, Senior Partner Solutions Architect, AWS India; Anutosh, Solutions Architect, AWS India

Modernizing VMware workloads just got smarter with Amazon Q Developer. This session breaks down how gen AI–powered tools automate discovery, planning, replatforming, and deployment to AWS EC2—cutting down months of work. Learn how transformation teams can eliminate heavy lifting and drive faster, more efficient migrations.

Gen AI in Action: From POC to Business Value

Speaker: Praveen Jayakumar, Head of AI & ML Solutions Architecture, AWS India

Discover how companies like Bundesliga and Trellix are scaling GenAI from pilot to production. This session highlights AWS services like Amazon Bedrock and Q, and how they’re delivering tangible business outcomes—from cost savings to increased productivity and innovation.

From Chaos to Code: Solving Developer Challenges with AI-DLC

Speakers: Anupam Mishra, Director, Solutions Architects, AWS India; Raja SP, Principal DevTx, AWS

Building software isn’t just about writing code—it’s about making the right decisions fast. This session introduces the AI-Driven Development LifeCycle (AI-DLC), a fresh take on engineering where AI becomes a developer’s co-pilot. Learn how to tackle legacy tech, shifting requirements, and scale SDLC with AI as a strategic partner.

A Free, Hybrid Event for All

Whether you’re leading digital transformation or building the next generation of cloud-native apps, AWS Summit Bengaluru 2025 offers something for everyone. The event is free to attend and provides hybrid options for those who prefer to join virtually.

The AWS Summit Bengaluru 2025 goes beyond sessions and talks—offering hands-on experiences, demos, and networking opportunities across immersive zones that bring AWS innovation to life. 

Register here

Where: Bengaluru, India | KTPO Exhibition Center, Whitefield

When: May 7–8, 2025

The post Meet the Minds Behind the Innovation: AWS Summit Bengaluru 2025 Speakers appeared first on Analytics India Magazine.

In a recent blog post, Brian Beach announced that Amazon has expanded language support through Amazon Q Developer, allowing developers to communicate technical ideas and generate documentation in multiple languages, including Hindi.

“The natural flow of conversation in any language helps maintain the developer’s focus and flow, eliminating the mental overhead of constant translation,” added Beach.

With the latest update, Amazon Q Developer now supports languages such as Chinese, Hindi, Spanish, French, Korean, and Portuguese, allowing for more fluid and natural conversations in multiple development environments.

The upgrade enhances the tool’s usability for tasks like architecture design, documentation creation, interface building, and application planning.

From inline chat and suggestions in IDEs to command line interface (CLI) interactions, the expanded language support means developers can stay in the zone without the cognitive burden of translation.

The tool not only answers questions in the user’s language but suggests follow-up prompts and refinements, preserving context and improving efficiency. 

There has been a recent trend amongst companies to allow developers to give prompts in their native language.

At the Microsoft AI Tour in Bengaluru, GitHub also showcased Copilot Workspace’s ability to write code from natural-language queries, including support for Indian languages like Hindi and Kannada.

Karan MV, director of international developer relations at GitHub, demonstrated that Copilot’s Workspace can understand Indian languages, including Hindi and Kannada, while writing code. 

The feature was introduced in May last year. Microsoft CEO Satya Nadella said, “Think about this – every person can now start programming, whether it’s in Hindi, Brazilian, or Portuguese, and bring back the joy of coding in their native language.”

The discussion about English being the hottest programming language is slowly shifting to coding in every language. OpenAI CEO Sam Altman said in a podcast with Lex Fridman about the future of coding that it’ll be in a very different shape. 

Altman said that many have already started programming entirely in natural language. “No one programs by writing code…some people do. No one programs the pun cards anymore,” he quipped, adding that it would change the nature and the skillset, not so much the predisposition for who we call programmers in the future.

The post Amazon Q Developer Now Lets You Code in Hindi appeared first on Analytics India Magazine.

Amazon Web Services (AWS) has started a new division focused on agentic AI to improve automation for its users and businesses. According to Reuters, the announcement was made in an internal email by AWS CEO Matt Garman.

The group will be led by Swami Sivasubramanian, who previously served as AWS’s vice president of AI and data. He will now report directly to Garman.

“Agentic AI has the potential to be the next multi-billion business for AWS,” Garman wrote in the email, highlighting the company’s commitment to advancing AI-driven automation. 

Agentic AI refers to systems that can execute tasks independently without requiring constant user prompts. Amazon recently showcased some of these capabilities with an updated version of its Alexa voice assistant, which is expected to roll out later this month.

“We have the opportunity to help our customers innovate even faster and unlock more possibilities, and I firmly believe that AI agents are core to this next wave of innovation,” he added.

Additionally, AWS senior vice president Peter Desantis announced restructuring within the company’s AI and hardware divisions. This includes merging AI groups Bedrock and SageMaker under the compute organisation and forming a new team to streamline customer experience and commerce. Desantis stated that these changes will “accelerate innovation”.

Meanwhile, Amazon is set to release a new reasoning model under its Nova branding by June this year, Business Insider reported. The model will function with a hybrid approach, meaning it can provide quick responses or use ‘extended thinking’ for more complex queries.

The post AWS Launches New Division to Develop Agentic AI appeared first on Analytics India Magazine.

At the Mobile World Congress held in Barcelona, Amazon Web Services (AWS) on Monday announced AWS Outposts racks for high throughput, network-intensive workloads and AWS Outposts servers designed for Cloud Radio Access Network (C-RAN) workloads.

These new offerings enable telecom service providers, also known as telcos, to extend AWS infrastructure and services to deploy on-premises network functions requiring low latency, high throughput, and real-time performance.

Both offerings will be generally available later this year to support hosting 5G Core User Plane Function (UPF), RAN Centralised Unit (CU), and RAN Distributed Unit (DU) workloads.

“With the new AWS Outposts offerings, telcos can now run their entire 5G network, including 5G Core and 5G RAN, on AWS cloud services. These innovations will allow faster network deployment, better price performance, and improved customer experiences,” David Brown, vice president of compute and networking at AWS, said.

The new AWS Outposts racks are built for high-speed 5G Core user plane and RAN workloads. Telecom companies can place workloads in different locations depending on speed, latency, and data traffic needs. The system uses 4th Gen Intel Xeon Scalable Processors and a high-performance network fabric.

The company said the AWS Outposts racks offer scalability to handle increasing data traffic demands, ensuring telecom networks can expand efficiently. They provide enhanced security and performance through AWS’s Nitro System, delivering a reliable and protected environment. 

Moreover, the racks support automated deployment and management with AWS Kubernetes services, streamlining operations for telecom providers. 

Integrating with AWS analytics and monitoring tools also improves efficiency, allowing operators to monitor and optimise network performance seamlessly.

Notably, O2 Telefónica, a major telecom provider in Germany, is already using AWS for its cloud-based 5G core network.

Meanwhile, Mallikarjun Rao, chief technology and enterprise officer at O2 Telefónica, said, “We are proud to have the first fully cloud-native 5G core network deployed on AWS, serving a million subscribers. The new AWS Outposts racks align with our strategy to build the network of the future.”

The AWS Outposts servers are tailored for Cloud RAN workloads, helping telecom providers deploy virtualised 5G networks more efficiently. These servers have been developed in collaboration with Nokia, with plans to integrate additional RAN vendors in the future.

Why AWS Outposts?

The AWS Outposts servers offer simplified operations with a pre-integrated cloud infrastructure, reducing the complexity of deployment and management. 

They enable faster 5G innovation by providing access to over 200 AWS cloud services, allowing telecom providers to develop and launch new features more efficiently. Powered by AWS Graviton3 processors, these servers deliver high-performance computing to meet the demanding requirements of 5G networks. 

Moreover, they ensure seamless integration with RAN vendors, maintaining high radio performance and supporting the smooth deployment of Cloud RAN solutions.

Major telecom operators like Orange, and Du Network will begin testing these solutions later this year.

AWS’s new Outposts racks and servers are currently in preview and will be widely available later this year.

The post AWS Unveils New Cloud Solutions to Boost 5G Networks for Telcos appeared first on Analytics India Magazine.

The Indian Economic Survey 2025 indicated the growing adoption and impact of generative AI within India’s banking sector. It pointed out that several financial institutions and banks in India are increasingly leveraging AI to enhance their operations, improve customer experiences, and streamline services. 

However, alongside these advancements, challenges related to security and scaling remain. This is what AWS is trying to solve, offering solutions designed to address these concerns.

In an exclusive interview with AIM, Kiran Jagannath, head of financial services and conglomerates at Amazon Web Services (AWS) India and South Asia, revealed that banks are now open to using generative AI services.

According to him, AWS is helping BFSI companies integrate generative AI securely and efficiently. Many fintechs and FSI firms have already begun their generative AI journey using AWS with key adopters, including Dhan, HDFC Securities, Fibe, and Axis Bank.

He shared that for the stockbroking fintech startup Dhan, KYC timelines were long, and the company wanted to address this issue. The company used generative AI to shorten these timelines, automating 25% of the KYC process and reducing wait times by 50%. “They achieved this with a 30% reduction in operational costs,” Jagannath added.

The startup developed a chatbot solution based on LLM and retrieval-augmented generation (RAG) technology, utilising Amazon Lex, Amazon Bedrock knowledge base, and Amazon Bedrock agents. The GenAI chatbot integration automated KYC queries, with multilingual voice and text support, enabling 24/7 customer support with the flexibility to route conversations to live agents, accompanied by a summary of the chat history, based on the user’s preference.

Regarding another customer, Razorpay, Jagannath said the company used generative AI to reduce payment failures. “Payment failures are still quite common today, and they have a significant impact. Whether in e-commerce or other sectors, a failed payment means a potential loss of sales for the customer.” 

The company recently launched Ray Concierge, an AI onboarding system that simplifies the often complex process of setting up payment gateways. 

Moreover, he added that generative AI has several applications in the BFSI sector, including fraud detection, customer experience, document summarisation, and process automation. Jagannath further explained that the financial sector handles vast amounts of data and documentation, and AI helps speed up processes such as underwriting, insurance claims processing, and customer support.

How is AWS Making UPI Possible?

Jagannath said that many payment providers today operate on AWS, and even on the enterprise side, AWS collaborates with several customers. “Every UPI payment, whether it is ₹5 or ₹5,000, impacts core banking systems. These platforms were not originally designed to handle such high transaction volumes. So, we are working with these customers to improve resiliency.” He said, citing RBI data, that over 47% of the world’s real-time payments happen in India.

Speaking of resilience, he said that the AWS ensures resiliency and scalability through its availability zone (AZ) architecture. “Cloud computing provides automatic scaling, allowing AWS to handle failures seamlessly without customer intervention,” he said. 

He revealed that each AWS region, such as Mumbai and Hyderabad, consists of multiple AZs. These AZs contain one or more physical data centres, which are isolated from each other by using different power grids, water sources, and other infrastructure. They are also interconnected with high-bandwidth, low-latency networks, ensuring minimal delay in communication.

The redundancy across AZs makes it extremely difficult for an entire AWS region to go offline unless a major disaster occurs. AWS automates failovers between AZs, meaning customers experience no visible downtime.

Moreover, he added that AWS is one of the most secure clouds and follows the security-by-design approach. “We have various concepts, like landing zone, where we help our customers, especially banks, develop these security guardrails and policies,” Jagannath said. 

A landing zone is a pre-configured environment where security policies and guardrails are automatically applied. He explained that developers can write code within these security boundaries, ensuring compliance with policies from the start.

AWS Efforts to Bring AI to Everyone

Jagannath believes that more enterprises and customers will adopt generative AI services if they receive proper training. He said that AWS has trained about 5.9 million individuals in India. 

“We do a lot of outreach to our developers across whether they’re working for large banks or working for large system integrators, it doesn’t matter for us, because they are the ones who are the pillars of foundations on how to adopt technology.”

Moreover, in 2025, AWS announced plans to invest $8.3 billion into cloud infrastructure in the AWS Asia-Pacific (Mumbai) Region in Maharashtra to further expand cloud computing capacity in India. This investment is estimated to contribute $15.3 billion to India’s gross domestic product (GDP) and support more than 81,300 full-time jobs annually in the local data centre supply chain by 2030. 

“Our investments and operations in India are enabling customers of all segments to experiment and build technology applications and platforms, re-invent industries and their business models, and power their growth,” Jagannath concluded.

The post AWS Automates KYC and Fraud Detection—Makes Banks Failproof appeared first on Analytics India Magazine.

Amazon Web Services (AWS) announced on Thursday a new quantum computing chip called Ocelot. The company claims that compared to current approaches, the chip can reduce the costs of implementing quantum error correction by up to 90%. 

Ocelot was developed by the AWS Centre for Quantum Computing and was based out of the California Institute of Technology. 

“Ocelot represents a breakthrough in the pursuit of building fault-tolerant quantum computers capable of solving problems of commercial and scientific importance that are beyond the reach of today’s conventional computers,” the company said. 

The company uses a novel design for the chip’s architecture using ‘cat qubits’ as an ode to Schrödinger’s thought experiment. 

AWS said cat qubits intrinsically suppress certain errors, reducing the resources required for quantum error correction.

This approach led the researchers at AWS to combine cat qubit technology and additional quantum error correction components into a microchip that can be manufactured for scale. 

Error correction is essential for quantum computing, as these systems are highly sensitive to noise or disruptions. 

AWS addresses this problem by building error correction into the architecture from the ground up, a different approach from others that incorporate error correction after implementing the architecture.

“We selected our qubit and architecture with quantum error correction as the top requirement. We believe that if we’re going to make practical quantum computers, quantum error correction needs to come first,” said Oskar Painter, director of quantum hardware at AWS. 

AWS has also published a technical research report on Nature, outlining the new technology. 

The company revealed that Ocelot is still a prototype and will continue to invest in further research.

Recently, Microsoft announced the Majorana 1 quantum chip, calling it the world’s first quantum chip that uses a new ‘Topological Core’ architecture. It can hold one million qubits on a single chip, slightly larger than desktop computer CPUs.

The chip uses a novel material called a ‘topoconductor’ or topological superconductor to control Majorana particles, leading to more reliable qubits. 

The post AWS Announces New Quantum Chip Ocelot, Reduces Error Correction Costs by 90% appeared first on Analytics India Magazine.

India is on the brink of a new era in entrepreneurship—one in which billion-dollar startups would be created and scaled by one person rather than a founding team. Jeff Barr, AWS’s chief evangelist, believes AI-powered tools like Amazon Q Developer will fuel the rise of “uni-unicorns”, turning solo founders into global tech disruptors.

India’s Developer Goldmine

On his visit to India, Barr was struck by the sheer scale of the country’s developer community. With companies like TCS, and Infosys housing over 300,000 developers each, the numbers dwarf even major global tech hubs.

“Coming from Seattle, where the whole city has a population of 900,000, it’s incredible to see a single company in India employing nearly a third of that,” Barr remarked in an exclusive conversation with AIM. 

According to Barr, what sets Indian developers apart is their hunger to learn. Barr is right. India has a plethora of self-taught coders—individuals who, within months, transition from non-tech backgrounds to mastering C, C++, and Java, thanks to the wealth of free resources and AI code assistants available today.

The AI Leverage: From Dorm Rooms to Unicorns

AWS has long envisioned a future where a single developer in their dorm room could build the next global success story. With AI tools handling code generation, debugging, and deployment, that vision is rapidly becoming a reality.

“The hardest part of coding is the blank screen. AI eliminates that. Now, developers don’t start from scratch—they start with an intelligent assistant guiding them,” said Barr.

Amazon Q Developer is already delivering significant productivity gains. At Tata Consultancy Services, it has cut test generation time by 30%. Startups like Constems-AI have accelerated AI-powered image recognition features by 25%. 

At Amazon itself, Q Developer has saved an estimated 4,500 years of manual work and $260 million annually in performance improvements.

Amazon Q Developer vs the World

While AI code assistants like Microsoft Copilot, Cursor, Replit, and Devin AI are making waves, Amazon Q Developer claims to take a more comprehensive approach by embedding AI across the entire software development lifecycle. 

Unlike tools that focus on code generation, Q Developer assists with everything from writing test cases and documentation to conducting security reviews and optimising legacy codebases. This holistic integration gives developers more than just an autocomplete feature—it acts as a full-fledged coding assistant designed to enhance efficiency at every step.

“Developers do much more than just writing new code. There’s debugging, maintenance, security, and compliance—things that take up a huge part of their time. Q Developer helps with all of that, not just generating snippets of code, but actually improving the entire workflow,” said Barr, highlighting Amazon Q Developer’s distinction. 

He believes that by automating tedious tasks and reducing the grunt work, Q Developer enables developers to focus on problem-solving, innovation, and scaling their applications faster than ever before.

Recently, GitHub Copilot introduced Agent Mode, which enhances its ability to iterate on code, recognise errors, and fix them automatically. The company is also building Project Padawan, an AI agent designed to manage complex coding tasks and automate workflows.

The Next Big Tech Boom Will Be in India

India’s rapid digitisation, combined with deep investments in cloud infrastructure, is setting the stage for the rise of uni-unicorns. AWS has already trained 5.9 million individuals in cloud skills and is committing $12.7 billion to expand cloud infrastructure in India by 2030.

“With AWS regions across India and AI tools making development faster than ever, the barriers to building billion-dollar businesses are falling,” Barr said.

However, he emphasised that while AI accelerates development, human creativity remains at the core. “Developers are still in control. AI can suggest, but you make the final call,” he added.

While AI accelerates software development, the role of engineering is evolving. Developers are now required to choose between mastering low-level programming and becoming product builders who leverage AI.

What’s Next?

The tech industry is shifting. AI-enabled coding is no longer a futuristic concept—it’s happening now. With Indian developers at the forefront, Barr believes the next wave of global startups won’t come from Silicon Valley but from a solo developer in India, armed with AI, building the future.

“It’s an amazing time to be a developer,” Barr said.

The post The Rise of Uni-Unicorns appeared first on Analytics India Magazine.

Amazon Web Services (AWS) has committed to investing ₹60,000 crore to establish new data centres in Telangana. 

The announcement was made following discussions at the World Economic Forum (WEF) in Davos, which was attended by Telangana Chief Minister Revanth Reddy, Telangana IT and industries minister Sridhar Babu and AWS representatives, including Michael Punke, vice president of global public policy at AWS.

The investment aligns with AWS’s broader expansion plans in India, which include developing Hyderabad’s data centre ecosystem. AWS has already invested $1 billion in three operational centres in Telangana and plans to invest an additional $4.4 billion by 2030.

Emphasising the importance of the deal, Reddy said, “Global businesses like Amazon have placed their confidence in us, marking a significant step in our Telangana Rising vision.”

The Telangana government is facilitating the expansion by providing additional land for AWS’s new projects. “With this deal, Hyderabad is set to become the data centre hub of India and a global leader in cloud services, including AI,” Babu said.

AWS’s investments are expected to strengthen Telangana’s position as a critical player in India’s digital and cloud infrastructure growth.

AWS has also announced a $8.3 billion investment in cloud infrastructure in Maharashtra as part of its expansion into the AWS Asia Pacific (Mumbai) Region. 

Meanwhile, Microsoft recently announced a $3 billion commitment to expand Azure’s infrastructure in the country at the Microsoft AI Tour in Bengaluru. The investment will scale Microsoft’s regional cloud infrastructure to bolster AI and computing capabilities. Moreover, Microsoft will train 10 million people in AI by 2030 as a part of its ADVANTA(I)GE INDIA initiative.

The post AWS Commits ₹60,000 Crore for Data Centres in Telangana appeared first on Analytics India Magazine.

Amazon Web Services (AWS) has announced a $8.3 billion investment in cloud infrastructure in Maharashtra as part of its AWS Asia Pacific (Mumbai) Region expansion. 

The announcement is part of AWS’s broader $12.7 billion commitment to India by 2030, aimed at meeting the growing demand for cloud services and artificial intelligence (AI) nationwide.

The Maharashtra government and AWS formalised the agreement on January 22, when they signed a memorandum of understanding (MoU) at the World Economic Forum in Davos.

“We are proud to be collaborating with AWS on this investment, which aligns with our vision to make Maharashtra a global capital for data centres,” Maharashtra CM Devendra Fadnavis said. “This partnership will strengthen our technological infrastructure, create jobs, and drive economic growth.”

“The investment in Maharashtra is estimated to add more than $15 billion to India’s GDP (gross domestic product) and support more than 81,000 full-time jobs in the local data centre supply chain annually by 2030,” Matt Garman, CEO at AWS, said. 

David Zapolsky, senior vice president of global public policy and general counsel at Amazon, said, “This collaboration supports the state’s digital ambitions and democratises access to emerging technology.”

AWS estimates the investment will contribute $15.3 billion to India’s GDP by 2030. These include sectors such as telecommunications, construction, electricity generation, facilities maintenance, and data centre operations.

AWS has already invested $3.7 billion in Maharashtra from 2016 to 2022. This latest funding aims to expand its cloud computing capacity in India, following its initial AWS Asia Pacific (Mumbai) Region launched in 2016 and the AWS Asia Pacific (Hyderabad) Region launched in 2022.

AWS’s infrastructure supports enterprises such as Axis Bank, HDFC Bank, and ICICI Lombard, along with startups like Healthify and public-sector organisations such as Coal India Limited and the Maharashtra State Electricity Distribution Company Limited.

The company is also fostering innovation through its AWS Partner Network (APN), which includes collaborators like TCS, PwC, Deloitte, and others to help Indian businesses build and scale digital solutions.

Since 2017, AWS has trained over 5.9 million individuals in cloud skills through initiatives like the AWS Skills to Jobs Tech Alliance and STEAM education programs in Maharashtra. Additionally, the company has supported skills and entrepreneurship training for women, job readiness programs for youth, and health initiatives in public schools.

Meanwhile, Microsoft recently announced a $3 billion commitment to expand Azure’s infrastructure in the country at the Microsoft AI Tour in Bengaluru. The investment will scale Microsoft’s regional cloud infrastructure to bolster AI and computing capabilities.

Moreover, Microsoft will train 10 million people in AI by 2030 as a part of its ADVANTA(I)GE INDIA initiative. 

The post AWS to Invest $8.3 Billion in Cloud Infrastructure in Maharashtra by 2030 appeared first on Analytics India Magazine.