Agentic data products go beyond “agent-ready.” Here's why the winners of the next 12–18 months will embed intelligence, not just access, into their data products.
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Three product launches — the Analytics MCP, Data Skills, and Workflows — plus a stack of quality-of-life upgrades.
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Repeatable prompts that let data teams teach agents how to handle complex analyses on demand — codified once, reusable forever.
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Most agentic analytics POCs survive the demo. Few survive context drift, and the problem only gets worse when agents, not people, are the ones asking the questions.
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Practical use cases that are turning AI experiments into ROI generating investments this year.
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In this article, we’ll unpack what these models are, both in traditional and modern contexts, and why they are a critical concept for product managers at data companies to understand.
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