Too many AI projects fail not because of flawed models—but because the systems around them were never built to support scale. From lack of ownership to missing workflows, even the most promising AI pilots can stall without a proper foundation.
In this thought-provoking episode of The AI Talk Show, WLDA Founder & CEO Asha Saxena sits down with Victoria Gamerman, Former Global Head of Data Governance & Insights at Boehringer Ingelheim, to unpack what it really takes to build an AI ecosystem that lasts. Together, they explore how leaders can move beyond tools and tech stacks—and instead operationalize intelligence across people, platforms, and decisions.
If you’re struggling with scattered pilots, unclear data ownership, or slow ROI from AI, this session offers both a mindset shift and a practical blueprint for transformation.
You’ll learn:
- Why AI success depends on ecosystem design, not just model accuracy
- How to integrate data governance, change management, and cross-functional collaboration
- What resilient ecosystems require: from end-to-end AI lifecycle frameworks to embedded responsible AI practices
- The difference between treating AI as a project versus building it as a platform for transformation
- How to futureproof your organization with systems thinking and agile operating models
Speaker
Victoria Gamerman — Former Global Head of Data Governance & Insights, Boehringer Ingelheim
Moderator
Asha Saxena — Founder & CEO, WLDA | The AI Factor Institute
Duration
Approximately 35 minutes
