Akhil Gupta

The traditional blueprint for building applications is more than 20 years old and optimized for a fragmented, ETL-heavy architectures of the early cloud era. The rise of agentic AI has broken this model, forcing us to reimagine how we — or perhaps agents — will build applications for the next 20 years. Today's AI native applications are increasingly written by agents, require easy access to real-time context and AI generated insights from other agents that legacy cloud platforms cannot provide without an expensive "Architectural Tax." Join Akhil Gupta and engineering leaders from the leading tech companies as they discuss the shift from legacy stacks to an interoperable foundation. We’ll explore the "Lakebase" paradigm, where Lakebase, Databricks Apps and Agent Bricks provide the modern way to build AI-native applications. This session will move beyond the "vibe check," offering a candid look at how to eliminate silos and ship governed, production-grade AI applications at scale. Key topics include: - Identifying and eliminating the "Architectural Tax" imposed by legacy cloud silos. - Understanding why AI-native applications require an interoperable app foundation: Lakebase. - How…

The default AI stack today ships user data to a cloud endpoint and hopes for the best. But regulations like GDPR, India's DPDP Act, and sector-specific mandates (healthcare, finance, defense) increasingly demand that sensitive data never leave the device or jurisdiction. This talk presents a...