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Prithvi Kannan

Speaker

Prithvi Kannan

2

talks

SWE Databricks

Prithvi is an engineer at Databricks and a contributor to the MLflow open source project. Prithvi also works on managed MLflow on Databricks and on the Mosaic AI Agent Framework.

Bio from: Data + AI Summit 2025

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Talks & appearances

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Tracking Data and AI Lineage: Ensuring Transparency and Compliance

As AI becomes more deeply integrated into data platforms, understanding where data comes from — and where it goes — is essential for ensuring transparency, compliance and trust. In this session, we’ll explore the newest advancements in data and AI lineage across the Databricks Platform, including during model training, evaluation and inference. You’ll also learn how lineage system tables can be used for impact analysis and to gain usage insights across your data estate. We’ll cover newly released capabilities — such as Bring Your Own Lineage — that enable an end-to-end view of your data and AI assets in Unity Catalog. Plus, get a sneak peek at what’s coming next on the lineage roadmap!

Turn Genie Into an Agent Using Conversation APIs

Transform your AI/BI Genie into a text-to-SQL powerhouse using the Genie Conversation APIs. This session explores how Genie functions as an intelligent agent, translating natural language queries into SQL to accelerate insights and enhance self-service analytics. You'll learn practical techniques for configuring agents, optimizing queries and handling errors — ensuring Genie delivers accurate, relevant responses in real time. A must-attend for teams looking to level up their AI/BI capabilities and deliver smarter analytics experiences.