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Databricks CustomerLake teaser

Databricks16 June 2026Watch on YouTube

Part of series

Ep. 1 · Databricks & Omnigent

Databricks-oprichters presenteren hun open-source agent-architectuur en toekomstvisie op AI.

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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

What you'll learn

  • Databricks CustomerLake is an AI-native Customer Data Platform with built-in agentic capabilities, integrated directly into the Lakehouse
  • Marketing teams can run autonomous campaigns at scale through AI agents for profile management and campaign processing
  • CustomerLake replaces rigid workflows with 'infinity campaigns': continuous engagement loops that autonomously scale and adapt to customers
  • The platform operates where your data and models already exist, without data silos, duplication, or extra complexity
  • Campaign agents and profile agents automatically execute tasks based on trusted customer context

Frequently asked questions

What is the main difference between CustomerLake and traditional marketing platforms?
CustomerLake eliminates rigid workflows and martech silos by embedding AI agents directly in your existing Lakehouse, allowing campaigns to run continuously and autonomously at scale without duplication or extra tools.
How do Campaign Agents and Profile Agents work in CustomerLake?
Campaign Agents automate campaign processing and engagement loops, while Profile Agents manage and maintain customer profiles based on trusted customer context, both operating autonomously and continuously.
Can existing martech integrations work with CustomerLake?
Yes, CustomerLake has native integrations and Reverse ETL built-in and features an open partner ecosystem, allowing you to connect existing tools without silos or additional complexity.
Where does CustomerLake run and what data does it need?
CustomerLake runs directly in the Databricks Lakehouse where your data and AI models already exist, so you don't need to move data to separate systems.

Topics

agentic aicustomer data platformai applicationdatabricksenterprise ai