Navigating training, improving and competition restrictions in generative artificial intelligence (AI) agreements

By David A. Toy and Thomas J. Petrie, of Hogan Lovells Cadwalader As organizations accelerate their adoption of generative AI, attention is increasingly shifting from the technology itself to the contractual frameworks that govern its […]

Enterprise Architecture for Responsible AI: Governance, Risk and Operating Models

By Sanjeeve Kumar Gajadi, Lead Consultant / SAP Enterprise Architect, HCL Technologies Limited Abstract. Artificial intelligence is moving from isolated experimentation into core business processes, but many organizations still govern AI through discon…

Research Firm: Agentic AI Investments Need More Scrutiny Before Projects Are Funded

By Holt Hackney Organizations moving quickly to deploy agentic artificial intelligence should first determine whether proposed projects actually require autonomous AI agents, and whether their data and governance systems are prepared to support them, a…

AI May Transform Health Care — Just Not the Way Silicon Valley Imagined

By Javier E. David When it comes to health care, Silicon Valley likes to imagine artificial intelligence as the technology that will cure disease, out-think physicians, and eventually decide who gets treated –  and how. […]

Designing Governed, Adaptive, and Trustworthy Agent Archetype development with Loop Engineering

By Dr. Magesh Kasthuri Loop engineering is emerging as one of the most important design disciplines for building reliable agentic systems. It shifts the focus from writing better prompts to designing purposeful operating cycles in […]