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Talcott Financial Group’s Dalavi on Oracle to Azure Migration and AI Innovation
Cloud strategy has become critical to operational efficiency and innovation. Talcott Financial Group underwent a significant architectural shift, migrating Oracle databases from Oracle Cloud Infrastructure to Microsoft Azure, consolidating what was once a dual-cloud environment.
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A key driver behind this consolidation was the need for cleaner, unified data for building artificial intelligence efficiency, said Head of Software Engineering Sudhakar Dalavi, who led the transformation. “Data is one of the fuel for AI,” he said. “So, we wanted to make sure we take advantage of that.”
Dalavi said effective data refinement relies on a “medallion architecture” approach that transforms raw data through bronze, silver and gold stages to ensure quality. “Your AI tools are going to be totally dependent on the quality of the data,” he said. “Otherwise it’s going to be garbage in, garbage out.”
In this video interview with Information Security Media Group at Microsoft Ignite 2025, Dalavi also discussed:
- Investments that software engineering team made to familiarize themselves with Azure-specific configurations and security models;
- How organizations can effectively ingest, normalize and analyze data from disparate sources;
- Effective strategies for attracting and retaining high-performing technology teams amid rapid change.
With more than 20 years of experience architecting and delivering sophisticated financial and investment systems, Dalavi leads the enterprise applications division at Talcott Financial Group. He drives enterprise modernization through cutting-edge cloud technologies and has a deep expertise in Microsoft Azure. He led the successful migration of Talcott’s Hedging Database from Oracle Cloud Infrastructure to Microsoft Azure, streamlining the application architecture, boosting performance and reducing operational costs.

