
An agentic CDP empowers marketing teams to move from static campaigns to Infinity Campaigns
Databricks22 June 2026Watch on YouTube
Part of series
Ep. 7 · Databricks & Omnigent
Databricks-oprichters presenteren hun open-source agent-architectuur en toekomstvisie op AI.
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Tasso Argyros, VP of Engineering at Databricks, shares how the agentic CDP is built for the AI era and transforming marketing. Now, marketers can execute autonomous, continuous engagement loops that analyze customer signals and adapt to reshape messaging, timing, and channels in real time. This new type of engagement is called Infinity Campaigns, which leverage LLMs and agents to achieve always-on 1:1 personalization – for the first time ever.
What you'll learn
- An agentic CDP leverages LLMs and autonomous agents for real-time, personalized marketing without manual intervention
- Infinity Campaigns automatically adapt based on customer behavior, continuously optimizing messaging, timing, and channels
- Agentic CDPs enable marketing teams to shift from static, one-time campaigns to always-on, 1-to-1 personalization
- Autonomous engagement loops continuously analyze customer signals and adjust marketing strategies in real time for better outcomes
Frequently asked questions
What are Infinity Campaigns and how do they differ from traditional marketing campaigns?
How does an agentic CDP adjust marketing messages, timing, and channels in real time?
What advantages does an agentic CDP offer compared to traditional CDPs?
What type of marketing challenges is an agentic CDP suited for?
Topics
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