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Microsoft is aggressively integrating AI across various platforms to enhance productivity and transform business processes. A key focus is on understanding human-AI interactions through a project called Semantic Telemetry at Microsoft Research. This project employs a novel data science approach using Large Language Models (LLMs) to analyze user behavior and classify these interactions, aiming to build and support increasingly high-value use cases for Copilot and other AI tools. This innovative approach reimagines traditional telemetry by using LLMs to generate meaningful categorical labels from chat log data, providing valuable insights into how users interact with AI systems.

The integration of Microsoft 365 Copilot is also enabling companies like Estée Lauder to reimagine trend forecasting and consumer marketing. By building a generative AI ecosystem with Copilot Studio, Azure OpenAI Service, and Azure AI Search, Estée Lauder is leveraging AI to gather data, identify trends, build marketing assets, and inform research, ultimately accelerating the process of bringing beauty products to market. This transformation is part of Estée Lauder's "Beauty Reimagined" initiative, aiming for leaner, faster, and more agile operations.
Original img attribution: https://pub-f8c0307ce82b4885975558b04e13a858.r2.dev/2025/03/OMB-Art-Customer-Stories-Update-Three-Her0-1024x575.jpg
ImgSrc: pub-f8c0307ce82

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References :
  • Source Asia: How real-world businesses are transforming with AI — with more than 140 new stories
  • Microsoft Research: Semantic Telemetry: Understanding how users interact with AI systems
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