From Data to Intelligence
Bridging the Gap Between Enterprise Data Foundations and AI Readiness
AI technology is advancing at an unprecedented pace, yet many enterprise data foundations are failing to keep up, creating a significant bottleneck for true innovation. This episode explores the critical necessity of moving beyond surface-level AI experimentation and pilot projects. Instead, success hinges on disciplined architecture, robust culture, and strategic leadership. We delve into why durable data infrastructure matters more than superficial adoption and how organizations can transform into AI-native enterprises by focusing on the underlying systems that make intelligence reliable, scalable, and safe.
You’ll learn:
- Why building durable data infrastructure is more critical for success than rapid AI experimentation.
- The strategic importance of AI-ready metadata, comprehensive governance, and interoperability.
- The key differences separating AI-native enterprises from companies that are only surface-level adopters.
- How to move past pilot fatigue to build sustainable, high-impact AI systems.
Featured Guest: Dan Bennett — Head of Technology, Enterprise Data Organization at S&P Global
Host: Asha Saxena — Founder and CEO, WLDA | The AI Factor Institute
Duration: 40 minutes