Description
Introducing Databricks CustomerLake, a new Agentic Customer Data Platform (CDP) natively embedded in the Databricks Lakehouse. By bringing an AI-native marketing platform directly into the same governed data and AI foundation used by the rest of the business, we equip marketers and data teams with a workforce of agents to deliver the perfect customer experience—a billion times a day. CustomerLake enables marketing teams to replace rigid, manual workflows with "infinity campaigns": Continuous engagement loops fueled by trusted customer context, with an always-on engine that autonomously adapts to the customer at infinite scale. CustomerLake delivers these capabilities where your data and models already live: - Campaign Agents - Profile Agents - Agentic identity resolution - Open partner ecosystem - Native integrations and Reverse ETL All without silos, duplication, or additional martech complexity. Learn more about CustomerLake: https://www.databricks.com/blog/introducing-customerlake-agentic-cdp
Description from YouTube. Full content on the video page.
More from Databricks
NewsMeet Genie: The new AI coworker that knows your business
Genie is a new AI coworker from Databricks designed to understand a company's specific business context. It allows users to ask questions in natural language and receive answers derived from their own business data.
NewsGenie Spaces or Genie Code? Databricks AI Explained
Databricks offers two AI assistants: Genie Spaces for business users to get data answers via natural language queries and multi-task investigations, and Genie Code for technical professionals to build dashboards, write code, generate pipelines, and debug GenAI apps. Spaces is for asking questions, while Code is for building and developing within the Databricks platform.
EventsDatabricks CustomerLake (Full Keynote)
Databricks announces Customer Lake, an "agentic CDP" embedded in the Databricks Lakehouse, designed to power "infinity campaigns" for real-time, one-to-one customer personalization. Customer Lake comprises Profile Agents for creating golden customer records and Campaign Agents for autonomous, continuous engagement loops.
NewsPython Based Time Series Analytics on Databricks
Databricks partnered with AVL to create Impulse, an open-source Python framework for time series analytics on petabyte-scale automotive sensor data. Impulse standardizes raw sensor data into a silver layer data model, allowing engineers to query vast measurement data efficiently within the Databricks Lakehouse.
NewsDatabricks on Databricks: How Marketers Use Data 3x More with Genie, an AI Analytics Assistant
Databricks built "Marge," an AI analytics assistant powered by their Genie platform, to help its marketing team access and utilize data more efficiently. Marge provides conversational analytics by unifying marketing data in a lakehouse and offering governed, trusted insights in seconds, significantly reducing reliance on manual analyst reports.