Connected Data, Automation and Governed AI: The Infosys–Databricks Story

How Infosys Topaz and Databricks are helping enterprises simplify data, scale automation and build trusted AI ecosystems.

Watch the video to hear how Infosys and Databricks are helping enterprises move from connected data to governed AI at scale.

In this conversation, Venkata Seshu Gulibhi, VP and Delivery Head – Data Analytics and AI from Infosys and Kamalkanth Tummala, VP and Country Manager from Databricks discuss how the Infosys–Databricks collaboration is helping organizations simplify data access, automate the data and AI lifecycle, strengthen governance, and build trusted AI ecosystems for the future.

Turning Connected Data into AI Value

AI adoption is moving from experimentation to enterprise-scale transformation. But for AI to deliver meaningful outcomes, organizations need strong data foundations, seamless automation and robust governance. The discussion highlights how Databricks helps enterprises unify structured, semi-structured and multimodal data, while Infosys Topaz brings AI-first services and industry expertise to help clients turn data complexity into actionable business insights. The conversation also underscores the importance of trust, security and cost transparency as enterprises scale AI. From natural-language access to data and lifecycle automation to governance through capabilities such as Unity Catalog and transparent FinOps, the Infosys–Databricks collaboration is positioned to help clients build AI ecosystems that are scalable, responsible and business-ready.

Looking Ahead

Infosys and Databricks are continuing to deepen their collaboration across go-to-market initiatives, solution development, capability building and joint client engagements. With AI creating new opportunities for industry-specific accelerators, marketplaces and enterprise-grade innovation, the partnership is focused on helping businesses move faster from data readiness to AI-led value realization.

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