As organizations accelerate AI initiatives, fragmented data architectures are a critical obstacle. When documents, vectors, and relational data reside in separate systems, the result is governance gaps, duplicated data, rising costs, and delays in AI deployment. This webcast explores how a converged database approach addresses these challenges, featuring insights from an industry analyst and practitioners. Topics include: How JSON relational duality unifies document and relational access Governance and cost benefits of consolidating databases Real-world performance and cost outcomes of AI on a converged platform Watch to learn more.
