Description
The next competitive advantage in AI won’t come from the next model. It will come from AI that understands your business and gets real work done across your company. Join Ali Ghodsi and the Databricks executive team for a fast-moving show in which true context-aware AI comes to life. We’re unveiling the latest advancements in Genie, the data smart AI coworker. Join us to discover what’s possible for all teams when AI understands your business and gets to work. Through conversations with Ali and other AI leaders, we’ll unveil new product features and live demos across the entire Genie family of AI cowork tools, including: - A custom context layer that makes AI relevant - Advanced agent capabilities that go beyond answers - AI cowork features for every business user
Description from YouTube. Full content on the video page.
More from Databricks
NewsCreating a Digital Twin with Spark Real-Time Mode and Lakebase
This video demonstrates how to create a real-time digital twin for a manufacturing cell using Databricks tools such as Spark Real-Time Mode, Lakebase, Databricks Apps, and Unity Catalog. It explains how processing sensor readings instantly allows operators to detect and act on equipment faults, such as a hot spindle, before they negatively impact production quality and efficiency.
NewsRespond to Airport Disruptions Using Lakehouse//RT
Lakehouse//RT and Zerobus enable low latency query processing to help airline operations quickly manage flight disruptions and rebook passengers. This technology allows multiple teams to access real-time data simultaneously without creating a duplicate system, significantly improving decision-making speed during emergencies.
TutorialsLakebase Search: Build AI Retrieval for Agents with Lakebase Postgres
Lakebase Postgres introduces lakebase vector and lakebase text extensions to support hybrid search for AI agents. It leverages the Databricks Lakehouse architecture to synchronize and index data for efficient vector and full text search without requiring external databases.
TutorialsGoverning AI Agents with Unity Catalog and Unity Gateway on Databricks | Unity Catalog Demo
The video demonstrates how to govern AI agents using Unity Catalog and Unity Gateway on Databricks. It shows setting up access policies, user defined functions, and role filters to control data and model interactions.
TutorialsDatabricks Pipelines: Write to One Unity Catalog Table from Multiple Sources with FLOWs
Databricks pipelines now allow writing to a managed Unity Catalog table from multiple sources by using one flow per source. Users can migrate existing structured streaming jobs without reprocessing the source data by utilizing checkpoint import features.
