Semantic Telemetry is changing how we understand user behavior — by showing the meaning behind every interaction.

Instead of just tracking system data, this approach uses large language models (LLMs) to label conversations with context, revealing user intent, topic flow, and cognitive depth. This gives architects a clearer picture of how people really use tools like Copilot in Bing — not for quick queries, but to solve complex, meaningful tasks.

This shift aligns closely with ALISE’s vision: turning scattered, unstructured input into connected, semantically rich data — ready for smarter systems and better outcomes.

When you combine semantic storage with deep insights into human-AI engagement, you build more than a product. You build a foundation for adaptive, learning systems that guide decision-making and unlock value across workflows.

Read the full article to dive deeper into the potential of Semantic Telemetry.

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