Live C-Suite Conversations on AI

Snap's head of engineering runs software development through a managed set of AI agents his team built. He explains how Snap measures the system, where humans stay accountable, and what CIOs can learn

Investors who fund AI startups at inception see where enterprise AI is headed years before most business leaders. Top seed VC Ed Sim explains what current investment patterns mean for the enterprise.

Most AI pilots never reach production, and the ones that do rarely scale. AI strategist Nate B. Jones explains why pilots stall and what the companies that succeed do differently.

Enterprises are deploying AI agents faster than security teams can see or govern them, and those agents inherit user credentials and sessions. Anand Oswal of Palo Alto Networks explains how CISOs can discover, control, and secure agents in the enterprise.

Banks run dozens of AI pilots, but almost no AI agents in production, and the gap is in controls, not models. Former UBS Group CIO Oliver Bussmann outlines the key conditions that must be met before agents can go live.

CIOs and CTOs are increasingly accountable for AI that they do not fully control as it spreads across the enterprise. Andy Baldwin of IBM Consulting explains how observability, governance, and right-sized models turn costly pilots into production.

Most companies, including AI startups, lose their way as they grow, trading their founding mission for short-term profit, says Eric Ries, author of The Lean Startup. He explains why this corruption happens and shares the governance structures that keep a company loyal to its purpose.

Although companies spend heavily on AI, few capture its value, according to McKinsey QuantumBlack. Their global leader explains why and shares a repeatable process for enterprise and agentic AI.