📢 AI agents are moving fast from hype to enterprise reality. But how do leaders ensure they deliver real ROI—without creating risk and chaos?

In this episode of Data Faces, David Sweenor sits down with Catalina Herrera, Field Chief Data Officer at Dataiku, to explore how organizations can adopt AI agents responsibly. Catalina shares a practical framework for balancing speed, governance, and reliability—while keeping business impact front and center.

🔍 Key Takeaways:
1- Why “agent sprawl” is the biggest hidden risk for enterprises
2- The guardrails every AI leader should put in place on day zero
3- How bad data leads to bad agents—and what to do about it
4- Practical patterns for scaling adoption with human-in-the-loop trust
5- The next 12 months: where AI agents will make the biggest impact

⏳ Timestamps for Easy Navigation:
00:00 – Introduction and guest overview
02:10 – Why AI agents matter now for business leaders
07:25 – Governance guardrails every enterprise needs
13:40 – Data foundations and making agents reliable
19:15 – Avoiding agent sprawl and scaling adoption
25:50 – Looking ahead: what’s next for AI agents
30:20 – Final thoughts and closing

📩 More insights & resources:
👉 Blog recap: https://prompts.tinytechguides.com/s/the-data-faces-podcast

🔗 Connect with Catalina Herrera:
💼 LinkedIn: https://www.linkedin.com/in/herreracatalina/
🌎 Dataiku: https://www.dataiku.com/

💬 What do you think? How are you preparing for AI agents in your organization? Drop your thoughts in the comments!
👍 If you enjoyed this conversation, remember to like, share, and subscribe for more episodes of Data Faces.

#AIagents #AIGovernance #DataScience