AI is only as powerful as the data behind it. In this episode, host Asha Saxena sits down with Julia Bardmesser to unpack the real-world challenges and opportunities at the intersection of AI and data.
They explore how generative AI is reshaping data management, from ingestion and curation to distribution and access. Julia breaks down why so many organizations stall between pilot and production—touching on data quality, governance, skills gaps, and the reality of legacy systems—and shares practical ways to move forward.
The conversation dives into the risk of biased and low-quality training data, what it means for fairness and trust, and how to think about synthetic data and “model collapse” as AI-generated content increasingly contaminates training sets. They also discuss how AI can enhance business intelligence—turning thousands of dashboards into clear next-best actions—while strengthening privacy, compliance, and metadata management behind the scenes.
The AI Talk Show – Season 1, Episode 11
Host: Asha Saxena, CEO, Women Leaders in Data & AI (WLDA)
Featured Guest: Julia Bardmesser, Former SVP, Head of Data, Architecture, and Salesforce Development, Voya Financial
Duration: 40 minutes