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Real-Time Decisioning for AI Agents: Why you Need a Customer Context Layer First
Real-time decisioning for AI agents requires a foundational customer context layer that provides unified, up-to-date customer data to enable accurate and personalized decisions. Databricks explains ho
Real-time decisioning for AI agents requires a foundational customer context layer that provides unified, up-to-date customer data to enable accurate and personalized decisions. Databricks explains how organizations need to establish this data infrastructure before deploying AI agents, as access to comprehensive customer information is critical for agents to make contextually aware decisions. The article emphasizes that building a proper data layer first prevents common implementation challenges and improves AI agent performance in production environments.
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Source: Databricks | 2026-04-21