Sponsored by: NTT Data | From Months to Days: Using AI DevKit to Democratize Data Development and Accelerate Insights

Every data team rebuilds the same infrastructure. The same pipelines, the same mapping, the same delivery bottlenecks — sprint after sprint. What should take weeks takes months, and the gap between business intent and production-ready data only widens. At NTT DATA, we changed the equation. In this session, Anvesh Vallabhaneni shares how NTT DATA extended the Databricks AI Dev Kit — transforming natural language inputs like requirements docs and meeting transcripts into fully governed, production-ready Databricks artifacts across pipelines, Unity Catalog, AI/BI dashboards, and Model Serving. Projects that demanded months of specialized engineering now ship in days. Less code. Less dependency on specialized talent. More governed, AI-ready data at enterprise scale. Leaders will leave with a clear understanding of how AI-assisted development compresses time-to-insight, reduces engineering overhead, and enables data platforms to scale without scaling headcount.