Jason Pohl

AI-driven attacks now operate at machine scale, with mean time to exploit collapsing from 23 days to just under 2 days. SIEMs as we know them today are going to disappear because this new agentic era you are dealing with unprecedented threats. That’s why Databricks announced Lakewatch, the Open Agentic SIEM. Instead of locking security data into proprietary systems with per-byte ingest licensing, Lakewatch lets teams store all their security telemetry in open formats, retain it for years, and run agentic AI across it. Security teams gain complete visibility across the enterprise and can deploy defensive security agents to automate threat detection and response at massive scale.

Lakebase is a new approach to radically simplify how organizations operate. It's a new category of OLTP databases based on Postgres that allows users to seamlessly integrate real-time OLTP workloads with the Lakehouse. Hear from Andre Landgraf, a key voice of the Lakebase community on the technology behind it all, and how to get started building.

Hear about the latest Lakehouse RT and Reyden announcements. Shant, Distinguished Engineer at Databricks, gives an in-depth discussion of achieving millisecond performance at massive scale - directly on your lake. Also Pramod Sadalage from Thoughtworks will add his thoughts on the impact of Lakebase on software development.

Learn how Databricks and Confluent are simplifying the path from real-time data to governed, analytics- and AI-ready tables. This session will cover how Confluent Tableflow automatically materializes Kafka topics into Delta tables and registers them with Unity Catalog — eliminating the need for custom streaming pipelines. We’ll walk through how this integration helps data engineers reduce ingestion complexity, enforce data governance and make real-time data immediately usable for analytics and AI.