Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

As organizations scramble to enact agentic AI solutions, accessing proprietary data from all the nooks and crannies will be key By now, most organizations have heard of agentic AI, which are systems ...

Agentic AI refers to AI systems that not only analyze and recommend actions but autonomously execute decisions across supply chain systems—such as updating inventory status, re-tendering loads, ...

Agentic AI workflows demand proof that endures when novelty fades and scrutiny increases. Leaders are not asking whether an ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

Context engineering is quickly becoming the backbone of modern artificial intelligence as organizations push for systems that stay accurate, grounded and predictable while handling increasingly ...

Thank you for joining us on the “Enterprise AI hub.” In this episode of the Infosys Knowledge Institute Podcast, Dylan Cosper speaks with Prasad Banala, Director of Software Engineering at a large ...

Enterprise AI has crossed a critical threshold. AI systems are no longer limited to recommending actions or generating insights. Increasingly, they are taking actions—approving refunds, initiating ...

A Rensselaer Polytechnic Institute (RPI) engineering professor, Shaowu Pan, Ph.D. and his team of students have integrated ...

A member of OpenAI’s 11-person founding team, Karpathy focused on generative modeling, computer vision and reinforcement ...