How internal data platforms unlock enterprise AI adoption

Vineel Arekapudi discusses how internal data platforms become the foundation for enterprise AI adoption. Using real-world banking-scale architectures at Wells Fargo, the session explains how standardized pipelines, governed lakehouses, and Kubernetes-based ML workflows enable reproducible and compliant experimentation across data science teams.

Key takeaways:
• Platform patterns that accelerate enterprise AI adoption
• Standardizing data and ML pipelines on lakehouse platforms
• Governance and reproducibility in regulated environments
• Bridging data engineering, platform teams, and AI practitioners