Castuner

AI Impact

Larridin

CIOs are being handed massive AI budgets and board-level pressure to prove value. This show features conversations with technology leaders about what's actually driving impact, what's not, and how they're making the case to skeptical executives.

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Episodes

20 episodes

  1. 400% per-person productivity gains: AI adoption at scale inside banking | Bhupesh Bansal 13:35
  2. When AI writes the code, review becomes the bottleneck | Rahul Sanghavi, Twilio Inc. 7:18
  3. The shift every engineering leader must make to stay hands-on | Abhishek Agrawal, Oracle 9:01
  4. The Walk the Dog Problem: What Happens When AI Frees Up Time Nobody Planned For 35:42
  5. From 14% to 98% AI accuracy: the 9-month context engineering playbook | Meenal Iyer, SurveyMonkey 53:44
  6. AI didn't cut the work. It revealed more | Andrew Weaver, VF Corporation 31:07
  7. Adoption without accountability is just expensive experimentation | Smriti Kirubanandan, Innovaccer 20:02
  8. How to pitch AI to a CEO on business value and ROI | Matthew Smart, Cardinal Health 28:11
  9. Coding was never the hard part: inside Fanatics' 3-person AI triads 47:09
  10. How Quest measures AI value when no single metric works | Michael Laudon, Quest Software 29:07
  11. How Coinbase cut AI inference costs by half while tokens went up | Kyle Cesmat, Coinbase 40:05
  12. The 10/20/70 rule for AI budgets that actually pay off | Priyanka Vergadia, Microsoft 32:09
  13. The three ways CFOs should budget for AI spend 27:28
  14. Stop Counting Licenses. Start Counting Outcomes. 35:12
  15. Inside Vertiv: How the Company Powering AI Data Centers Uses AI 38:50
  16. Who Owns the Bot? Bask Iyer on AI Accountability, Pretotyping, and the Vendor Trap 32:42
  17. ClickUp's CFO on the AI Investment Framework That Actually Scales 45:18
  18. Superpowers: How Jesse Built the #1 AI Coding Workflow — and Stopped Writing Code 49:09
  19. Stop overcorrecting on AI security: what CIOs actually need to worry about 30:59
  20. Rubrik's CIO stopped worrying about AI risk. Now he's racing to meet internal demand | Ajay Sabhlok 37:50