{"id":23020,"date":"2026-04-09T09:05:00","date_gmt":"2026-04-09T16:05:00","guid":{"rendered":"https:\/\/www.microsoft.com\/insidetrack\/blog\/?p=23020"},"modified":"2026-04-08T16:04:12","modified_gmt":"2026-04-08T23:04:12","slug":"conditioning-our-unstructured-data-for-ai-at-microsoft","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/insidetrack\/blog\/conditioning-our-unstructured-data-for-ai-at-microsoft\/","title":{"rendered":"Conditioning our unstructured data for AI at Microsoft"},"content":{"rendered":"\n

Anyone who has ever stumbled across an old SharePoint site or outdated shared folder at work knows firsthand how quickly documentation can fall out of date and become inaccurate.<\/p>\n\n\n\n

Humans can usually spot the signs of outdated information and exclude it when answering a question or addressing a work topic. But what happens when there\u2019s no human in the loop?<\/p>\n\n\n\n

At Microsoft, we\u2019ve embraced the power and speed of agentic solutions across the enterprise. This means we\u2019re at the forefront of developing and implementing innovative tools like the Employee Self-Service Agent, a chat-based solution that uses AI to address thousands of IT support issues and human resources (HR) queries every month\u2014queries that used to be handled by humans. Early results from the tool show great promise for increased efficiency and time savings.<\/p>\n\n\n\n