Live C-Suite Conversations on AI

CEOs are deciding how fast to move on AI, what to fix first, and how to turn AI into financial results. Deloitte Board Member China Widener describes what C-suite leaders are weighing and offers advice for boards.

Companies are moving AI agents from pilots into production, where data, scale, and cost decide what works. Redis's CEO explains how to give agents business context, test them, and choose where to invest.

Companies are buying enterprise AI priced in credits and units that do not convert across vendors. A buyer's advocate from The Confluencial explains how CIOs can decode predatory AI pricing, test demos, and negotiate safer contracts.

Companies are starting to hand work to AI agents and rethink business processes around them. Cisco's president and chief product officer explains how he budgets tokens, keeps people accountable, and builds trust in agents.

Companies are deciding which AI work to keep on frontier models and which to move to open weight models they control. Mozilla's CTO explains the trade-offs and how to test models and plan a fallback.

Companies want to know what AI returns and who has to prove it. Occidental Petroleum's Chief AI Officer explains when to build in-house models, what to buy, and how to win adoption.

Companies are handing more work to AI agents and deciding what stays with people. Salesforce's Chief Ethical and Humane Use Officer, Paula Goldman, explains how to choose those use cases and keep a human at the helm.

Companies are opening their enterprise software to AI agents, which arrive knowing nothing about the organization. Atlassian’s product and AI chief explains how to give them context, set guardrails, and keep a human accountable.