How AI Teams Evolve From Data Science to AgentOps l Dev in the Details Ep 2

Dev In the Details · Beginner ·🚀 Entrepreneurship & Startups ·4mo ago
Hello builders, breakers, and believers in AI!In this episode of Dev in the Details, Natasha Berman (Head of Demand Gen & Growth at Predibase) sits down with Dev Rishi, Co-Founder and CEO of Predibase, to unpack how AI teams are evolving inside the enterprise—and why security and engineering need to stop being frenemies if companies want to deploy AI at scale. 👉 You’ll learn: * How the AI Engineer role has transformed from PhDs to builders who ship fast * Why security & AI engineering must collaborate to unlock enterprise adoption * Real-world examples of AI for security (fine-tuned models fo…
Watch on YouTube ↗ (saves to browser)

Chapters (9)

Intro: Why AI teams matter more than ever now
1:05 Security & AI Engineering: From frenemies to partners
3:22 Boardroom Pressure: Why enterprises must adopt AI faster
5:15 Building Trust: The rise of governance and confidence in AI
7:00 Real-World Example: Fine-tuning models for sensitive data protection10:30 – Ev
13:05 New Skill Set: Evaluating models and iterating fast
15:20 Impact on Engineering Teams: How AI changes roles and PM workflows
18:40 Democratization of ML: From research labs to product teams
21:25 Security vs Innovation: The “poor sucker problem” inside enterprises24:00 – Bl
Why "Harder" Is the Best Growth Strategy, Eric Ries and Neil Patel
Next Up
Why "Harder" Is the Best Growth Strategy, Eric Ries and Neil Patel
Neil Patel