Rebuilding the data stack for AI

Enterprises face significant challenges in AI adoption, with data quality being a critical factor. Bavesh Patel from Databricks emphasizes that the effectiveness of AI relies on the information within organizations, which is often fragmented across legacy systems and siloed applications. To derive real value from AI, data must be unified in open formats and governed rigorously. This requires moving from isolated SaaS platforms to a unified data architecture that can integrate structured and unstructured data, ensuring real-time context is maintained.