
Oracle Deploys OpenAI GPT-5 Across Database and Cloud Applications
GPT-5 is available in three sizes through the API and in ChatGPT Enterprise.
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GPT-5 is available in three sizes through the API and in ChatGPT Enterprise.
The site is designed to serve enterprises, government agencies, and large tech companies, including those working on AI
The MCP Server enables direct connections between MongoDB and tools such as GitHub Copilot, Anthropic’s Claude, Cursor, and Windsurf.
What happens when legacy systems clash with AI’s rapid rise? Businesses face an architectural crisis as they chase intelligence without the foundation to support it.
The new offering aims to make the MCP experience secure for enterprises and SaaS platforms.
Fueled by cloud, AI, and 5G, this surge promises a 20% revenue growth in the tech services sector, job creation, and a new era of digital infrastructure.
Indian tech companies are rapidly integrating AI into insurance operations, raising a tough question: How can we ensure our systems remain fair, transparent, and humane before it’s too late?
The company said it will begin offering services from a data centre located in India for the first time, with operations expected to begin in the first half of 2026.
Starburst unifies siloed data, simplifies AI workflows with Trino, and boosts LLM accuracy using RAG, governance, and open architecture.
Databricks also launched MLflow 3.0, a redesigned version of its AI lifecycle management platform.
Cisco focuses on high-performance, low-latency networking to meet the growing demands of AI workloads and deliver secure, scalable infrastructure solutions.
“AI is no longer just an application layer,” Srinivasa said. “We must now look at data platforms themselves as intelligent systems that integrate AI at their core.”
“Everyone deserves access to the same financial information that drives professional investment decisions.”
The agent achieves goals set by the user by orchestrating a composite flow which mimics the workflow of a typical data scientist.
This award recognises India’s top data scientists and their achievements in the machine learning and analytics industry.
These firms not only nurture talent but also empower data scientists to excel in their roles.
‘At the dawn of WW2, we didn’t have a Defense Industrial Base; we had an American Industrial Base. This is also what our future must look like.’
India is a critical hub for Lingaro, as CEO Mantle emphasised the country’s “tremendous wealth of data talent” and its reputation as a global leader in the tech services ecosystem.
UST’s growth in India has been significant, with plans for additional facilities, including a second campus in Kochi, Kerala, aimed at creating 3,000 jobs over the next five years.
Bangalore’s ability to consistently produce top-tier talent is the reason behind India on the global stage, not just in terms of technological output but also as a source of talent.
As a data scientist at SAP Labs, you will analyse large datasets, implement best practices to enhance ML infrastructure, and support engineers and product managers in integrating ML into products.
The company has eight open positions for applied research scientists and ML engineers.
Happiest Minds is currently on the lookout for a specialist in marketing analytics with over 8 years of relevant experience.
With over 30,000 AI and analytics professionals, the team is building its own LLMs.
For data science roles, Pega focuses on the candidate’s ability to learn and adapt rather than specific tech skills.
Consisting of over 6,500 AI experts, WNS Triange serves as a partner for 200 global clients in more than 10 industries
Marlabs is currently hiring for 10 data science roles, including ML Architect, ML Engineer, and Statistical Modeling positions.
Fiserv prioritises up-skilling employees to help them excel in their roles and adapt to new technologies and client needs
Founded in 2014 by Harshvardhan Lunia, Indian digital assembly fintech lender Lendingkart utilises a data-powered credit analysis system to facilitate online loans, aiming to improve accessibility in small business lending. The company’s proprietary underwriting mechanism utilises big data and analytics to evaluate the creditworthiness of borrowers. The company has so
The company plans to expand its footprint in India by hiring around 70 professionals this year for data science, data engineering, ML engineering, and cloud roles across Chennai, Hyderabad, and Bengaluru.
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