{"id":89567,"date":"2026-06-29T16:22:13","date_gmt":"2026-06-29T16:22:13","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/89567\/"},"modified":"2026-06-29T16:22:13","modified_gmt":"2026-06-29T16:22:13","slug":"databricks-enters-the-marketing-industry-with-agentic-cdp-customerlake","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/89567\/","title":{"rendered":"Databricks Enters the Marketing Industry with Agentic CDP CustomerLake"},"content":{"rendered":"

\t\t\t\tKey Takeaways<\/p>\n

Databricks introduced CustomerLake, an agentic CDP designed to unify customer data, AI models, agents, identity resolution and activation in one governed environment.
\nThe launch positions marketing as a continuous, AI-driven loop of analysis, decisioning and action rather than a series of disconnected campaigns.<\/p>\n

Databricks<\/a> is now offering CustomerLake, a new agentic Customer Data Platform (CDP)<\/a> built natively on the company\u2019s platorm that unifies customer data, artificial intelligence (AI) models, agents, identity resolution, audience building, and activation\u2014 bringing agentic marketing to the open lakehouse.<\/p>\n

CustomerLake is designed to equip marketers and data teams with a workforce of agents that continuously analyze behavior, decide, and act, delivering always-on personalized customer experiences a billion times a day, according to company officials. This new offering consolidates customer data, identity resolution, audience building, campaign automation, and activation into a single AI-native foundation.<\/p>\n

This launch marks Databricks\u2019 continued expansion into major enterprise software categories, following\u00a0Lakewatch<\/a>. CustomerLake is now available, with current customers including HP, Circle K, AB InBev, and Getnet by Santander.<\/p>\n

Why Marketers Need to Reimagine Their Entire Foundation<\/p>\n

Ali Ghodsi, co-founder and CEO of Databricks, said marketers need to reimagine their entire foundation, not just the campaigns they run, but the customers they run them for, which now include agents.<\/p>\n

\"Get<\/p>\n

\u201cWith CustomerLake, customer data, AI models, and agents live in one governed platform,\u201d said Ghodsi in a statement. \u201cMarketing stops being a series of campaigns and becomes a continuous loop \u2014 agents that constantly analyze, decide, and act on every customer in real time. For the first time, enterprises can deliver infinity campaigns and 1:1 personalization at scale.\u201d<\/p>\n

Rebuilding Marketing for Agents<\/p>\n

CustomerLake is being offered as marketing teams are now marketing to AI agents that consumers deploy on their behalf to research, evaluate, and transact, and they are rebuilding their own marketing stack to be run by agents. Traditional martech wasn\u2019t built for either. Databrick officials note that legacy CDPs follow a waterfall model: campaigns are planned and executed across dozens of disconnected systems, take weeks to ship, and leave customer data siloed outside the company\u2019s core AI platform. That fractures identity and makes true personalization impossible at scale.<\/p>\n

Agents need something different: real-time access to context, data, and execution in one place. CustomerLake delivers this by bringing the CDP natively into the Databricks platform, so the same models that generate insight can drive activation directly, according to Ghodsi.<\/p>\n

The agentic CDP is a new category of marketing infrastructure built for a world where buyer behavior is dramatically changing. Humans are deploying AI agents to compare and buy on their behalf, and marketers are deploying agents to engage with them.<\/p>\n

Marketing at Enterprise Scale <\/p>\n

Unlike legacy CDPs, an agentic CDP puts governed customer context, AI models, and execution capability in a single environment. The result is a system that doesn\u2019t wait for a marketer to trigger a campaign. It continuously analyzes, decides, and acts.<\/p>\n

With CustomerLake, the models that generate customer insights are the same models that drive activation, with no data copies, no pipeline lag, and no governance tradeoffs. Among the capabilities are:<\/p>\n

Always-on \u201cinfinity campaigns\u201d:\u00a0Replace one-off campaigns with continuous, agent-driven engagement so every customer can receive a truly 1:1 experience.
\nCampaign agents: Enable marketers to build audiences, automate campaigns, and personalize experiences directly from your data foundation \u2013 regardless of where it\u2019s stored.
\nProfile agents:\u00a0Turn raw customer data into business-ready records for marketing and customer teams through an end-to-end agentic loop.
\nOpen partner ecosystem:\u00a0Ingest and activate data across leading platforms and partners, including Adobe, Meta (audience and Conversions API), LiveRamp, and The Trade Desk among others.<\/p>\n

HP\u2019s Endorsement<\/p>\n

Kumar Ram, Global Head of Marketing Technology and AI Enablement, HP, stated they believe the future of AI-driven customer engagement depends on moving beyond fragmented customer data toward governed customer context.<\/p>\n

\u201cDatabricks CustomerLake brings that vision to life, enabling HP to build customer intelligence, personalization, and activation on the data foundation we already trust, rather than creating another place where data must be copied, reconciled, and secured,\u201d said Ram. \u201cWith CustomerLake, marketing can move faster, operate smarter, and transform with AI using the same trusted customer context as finance, product, sales, and operations.\u201d<\/p>\n

CustomerLake is now available in Private Preview, with pricing designed around a specialized, value-aligned consumption model rather than a traditional software license.<\/p>\n","protected":false},"excerpt":{"rendered":"Key Takeaways Databricks introduced CustomerLake, an agentic CDP designed to unify customer data, AI models, agents, identity resolution…\n","protected":false},"author":2,"featured_media":89568,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[179,7493,47421,24,405,25,47422,47423,18753,6764,37519,34885,5026,47424],"class_list":["post-89567","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agentic-ai","tag-agentic-ai","tag-agentic-artificial-intelligence","tag-agentic-cdp","tag-ai","tag-ai-agents","tag-artificial-intelligence","tag-customer-data-platform","tag-customerlake","tag-data-strategy","tag-databricks","tag-identity-resolution","tag-marketing-operations","tag-personalization","tag-predictive-marketing"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/89567","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=89567"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/89567\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/89568"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=89567"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=89567"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=89567"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}