Users should beware of a single platform approach for AI and machine learning, as it may not adequately support their data management needs.
The appeal of consolidating solutions within a single stack is outweighed by the need for diverse capabilities, as maturity levels can vary among vendors.
Major analytics and data management players like Databricks and Microsoft continue to push their platforms as solutions for AI readiness, but caution is warranted.
Preparing data management for AI hinges on observability, analytics, and AI governance, which are essential for effective implementation in organizations.
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