CXOTalk

Recent Episodes

1. Atlassian Chief AI Officer: Building Products for Agents and Humans

   Sep 16, 2026

   Tamar Yehoshua, Chief Product and AI Officer at Atlassian, discusses how the company is redesigning products for both human users and AI agents. She explains Atlassian's teamwork graph—a context layer containing over 200 billion entities that enables agents to understand organizational structure and data—and shares concrete examples like Mercedes-Benz's Rovo agent reducing manual bug triage by 85%. The conversation covers measuring AI value, building guardrails for agent chains, and why she dismisses the "SaaS apocalypse" narrative.

2. How Snap Built a Production System Where Agents Write 90% of Code

   Sep 1, 2026

   Tamar Yehoshua, Chief Product and AI Officer at Atlassian, discusses how the company is building AI agents into its product suite to serve both human users and AI teammates. She explains Atlassian's teamwork graph—a context layer that provides agents with organizational intelligence—and how the company measures AI adoption through metrics like token efficiency and feature deployment velocity. Yehoshua covers guardrails, human-in-the-loop workflows, and why design and observability become critical when agents scale.

3. Enterprise AI Biggest Opportunities: A Top VC's Take

   Aug 10, 2026

   Ed Sim, Founder and General Partner of Boldstart Ventures, discusses the three waves of enterprise AI adoption: getting AI running, deploying agents, and the current wave focused on ROI and tokenomics. He covers emerging infrastructure solutions like appliances combining GPUs and model routers, the shift toward open-weight models to reduce costs, and critical security gaps in agentic AI, particularly around agent identity and runtime access control. Sim also outlines what separates AI vendors likely to survive consolidation from those that won't.

4. Why Your Enterprise AI Pilot Won't Scale (with Nate B. Jones)

   Aug 6, 2026

   Nate B. Jones, an AI analyst and advisor to Fortune 500 companies and global banks, explains why most enterprise AI pilots fail before production and how to fix it. He argues that naming an effort a pilot invites undersized budgets and risk-averse goals, and instead recommends picking high-leverage projects, investing in leadership and middle-manager adoption (an 80% people problem), and budgeting by cost per completed task rather than token cost. The episode covers data flow as the primary technical blocker, the harness framework (context, memory, procedures, review gates) as company IP, and strategies for avoiding shadow AI while managing model selection between frontier and open-weight options.

5. AI Agents in Banking: UBS Former Chief Information Officer

   Jul 21, 2026

   Oliver Busman, former Group CIO of UBS, discusses the adoption and challenges of AI agents in banking. The conversation covers how roughly 50% of financial institutions are experimenting with agents, primarily in proof-of-concept and software development phases, and examines the regulatory, compliance, and trust barriers slowing production deployment. Key topics include governance frameworks, measurement of agent effectiveness, the role of human oversight, and the impact on banking jobs and consulting models.

6. Palo Alto Networks EVP: Securing AI Agents in the Enterprise

   Jul 15, 2026

7. Eric Ries: Can AI Startups Stay Ethical?

   Jun 30, 2026

8. McKinsey: Why Agentic AI Pilots Stall

   Jun 24, 2026

9. Aaron Levie, Box CEO: Advice for CIOs on AI Agents

   Jun 15, 2026

10. Mozilla CTO: Why Most Enterprises Don't Control Their AI

    Jun 9, 2026