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 ...

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 ...

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

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

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 ...

This is the problem Agentic Fabriq, founded by CEO Paulina Xu and CTO Matthew Xu, is working to solve. The company positions ...

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

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

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 ...

Microsoft has acquired Osmos to bring autonomous, agentic data engineering into Microsoft Fabric. Osmos technology automates data preparation and transformation within Fabric workflows. The ...

Across healthcare, providers are rapidly deploying tools such as ambient clinical documentation, while payers are adopting AI-powered agents for a growing range of operational and administrative use ...