
Danielle Crop
Head of Strategic Foresight & Influence
Capgemini
Episode Overview:
Between the doom headlines and the vendor hype, it’s hard for data and AI leaders to see what enterprise AI can actually do. In this episode, Danielle Crop, Head of Strategic Foresight & Influence at Capgemini and former CDO at Albertsons and American Express, explains why a strong AI strategy starts with treating AI like a tool. She shares how data leaders can earn a seat at the business strategy table, which AI myths are holding organizations back, and what really breaks when agentic AI goes into production.
Key Moments:
Key Quotes:
Separating AI Hype From Reality with Capgemini’s Danielle Crop“For me, I always was about how do I use data, analytics, and machine learning… to solve a particular problem. I was always problem first, technique and data second.”
Danielle Crop
Separating AI Hype From Reality with Capgemini’s Danielle Crop“We have to remember that it's a statistical compression of the sum total of human knowledge. That's what an LLM is. And it feels magical, but it's just really good science.”
Danielle Crop
Separating AI Hype From Reality with Capgemini’s Danielle Crop“Saying AI went rogue is giving it a personality that it doesn’t have.”
Danielle Crop
Mentions:
- Economic Scenarios for Transformative AI
- No, OpenAI's models didn't go 'rogue' when they broke into Hugging Face. Here's what really happened.
- Danielle’s Blog: The Remix
- The Doom Is the Product
Guest Bio:
Danielle Crop is Head of Strategic Foresight & Influence at Capgemini, bringing expertise in data, artificial intelligence, and digital transformation to drive innovation and client success. She leads strategic partnerships, go-to-market initiatives, and digital transformation efforts, leveraging advanced technologies to deliver impactful solutions.
With over a decade of experience, Danielle previously contributed to building transformative data office functions at Albertsons and American Express. She spearheaded initiatives in data governance, management, science, and commercialization. Dedicated to creating value through collaboration, innovation, and strategic use of data and AI technologies.