Enterprises Beware: Agent-Washing Clouds the Future of AI
27/09/2025
4:00 pm
Vendors mislabel copilots as agents, raising regulatory and operational risks for firms chasing the promise of agentic AI.
In-depth stories shaping the future of AI and sparking thought-provoking conversations.
Vendors mislabel copilots as agents, raising regulatory and operational risks for firms chasing the promise of agentic AI.
Unlike other providers focused on GPU allocation, Neysa claims to deliver an end-to-end AI cloud platform.
In a live demonstration for AIM, Posha prepared paneer tikka masala in approximately 25 minutes
“Knowledge-driven components are important because we don’t want everything to be just algorithmic innovation.”
As businesses recognise the potential of voice-driven tech, Pradhi AI is laying the foundation for an empathetic, responsive AI ecosystem.
“The coastal city could showcase tangible results by applying deep tech to areas it already dominates”
The company’s new AI image and photo editor deepens concerns over data use and consent gaps, experts warn.
The consortium insists sovereignty doesn’t mean shutting the door on global players.
“Democracy would not have been possible without storytelling being distributed.”
Natural gas may seem a potential fuel for data centres, but higher costs and insufficient infrastructure pose challenges.
BharatGen has secured 13,640 H100 GPUs and ₹988.6 crore in funding to pursue India’s first trillion-parameter AI model initiative.
“The backlash made it evident that Nepali citizens do not tolerate digital authoritarianism disguised as governance.”
At Cypher 2025, industry leaders debate whether India should invest in building its own AI foundational models or adapt global ones.
Speaking at Cypher 2025, the E-Gaming Federation CEO called on AI firms to embed trust early by following ethical, legal frameworks.
JAN AI is on a mission to transform rural India into AI-first villages, ensuring technology empowers farmers, women, and youth at the grassroots.
At Cypher 2025, the tennis icon said India’s rise will depend on fusing global investment with the country’s greatest asset, its people’s intelligence.
With these selections, IndiaAI has now created a 12-company cohort, tasked with building the backbone of India’s sovereign AI ecosystem.
Solar and wind are abundant but unpredictable. Dhanya Rajeswaran of Fluence India talks about solutions to this intermittency.
ISRO scientist Nitish Kumar outlined ideas to shape the role of AI in space, highlighting an initiative called Gyaan education agent.
“Physical AI is a very, very important element of what India needs to build.”
While foundation models may boost experimentation, healthcare demands deterministic, auditable and compliant systems before they can be trusted in production.
What was once a hub for collaborative innovation in the GenAI era has quickly become a breeding ground for clones.
Enterprises are now looking beyond centralised data centres, choosing to move workloads closer to where data is created.
“Golang delivers high performance without the overhead of complex runtimes”.
Developers may be losing patience with Next.js, as broken middleware, AsyncLocalStorage woes and slow fixes raise doubts about the framework’s reliability.
As Big Tech pours billions of dollars into bigger models, smaller research teams think reasoning and inclusivity matter more than scale.
The Indian IT industry’s famous ‘pyramid model’ is collapsing from the middle.
Federated learning uses organised medical knowledge and synthetic data to unify diverse datasets, enhancing patient care nationwide.
Enterprises need to control the full AI stack and deployment, especially when sensitive information is involved.
The device can diagnose resistance in three-to-six hours and aims to expand testing from one to eight antibiotics.
