Bonus: Why the AI Data Lifecycle Matters – With Debbie Reynolds, The Data Diva

In this special bonus episode of AI ON US x CTO News Thursday, we’re diving into a critical but often overlooked topic: The AI Data Lifecycle – Why It Matters More Than Ever. 🚨 "Thinking of data as ‘forever’ is not good for companies, especially in AI. Data gets old, it gets stale."

In this special bonus episode of AI ON US x CTO News Thursday, we’re diving into a critical but often overlooked topic: The AI Data Lifecycle – Why It Matters More Than Ever. 🚨 "Data has a life—from cradle to grave. Thinking of data as ‘forever’ is not good for companies, especially in AI. Data gets old, it gets stale. You want your models to be as fresh as possible." – Debbie Reynolds

🎯 BONUS EPISODE 4 – Why the AI Data Lifecycle Matters

With special guest: Debbie Reynolds, "The Data Diva"

In this 5-minute bonus episode, we zoom in on one of the most overlooked but mission-critical issues in AI today: the AI data lifecycle. 💬 Our guest, Debbie Reynolds, is a global thought leader in AI governance, privacy, and compliance. Known as The Data Diva, she has advised dozens of Fortune 500 companies, contributed to GDPR and global AI regulations, and spoken at institutions like MIT Horizon and IAPP.

Meet Debbie at the Morning Key Strategic Keynotes:

International Summit on Responsible AI

15 October 2025 at 08:00 – 16 October 2025 at 21:00|Biarritz

Together with John James Abadom and Marianne Mazaud, Debbie explains why organizations can’t afford to think of data as “forever.” In the AI age, old data is dangerous data.

🚨 What You’ll Learn:

Why "forever data" can introduce bias, harm model performance, and increase compliance risks
How the AI data lifecycle impacts not only privacy but also innovation and business outcomes
The hidden risks of using outdated data in automated systems
A simple, actionable step any company can take today to future-proof its AI governance

🔎 Our Favorite Quote from Debbie:

🧠 “Data has a life—from cradle to grave. Thinking of data as ‘forever’ is not good for companies, especially in AI. Data gets old, it gets stale.”— Debbie Reynolds

As AI regulation tightens under frameworks like the EU AI Act and GDPR, the data governance decisions you make today will define your ability to build trust—and stay compliant—tomorrow.

💡 Tune in to learn how AI leaders can balance innovation with accountability.