Copilot Success Starts with Clean Data

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM 👉 Full Show Notes https://www.microsoftinnovationpodcast.com/753  AI adoption starts with data readiness. Yatindra Ranpura shares a practical framework for deploying Copilot successfully, including how to clean legacy systems, measure adoption, and align with regulations like GDPR and the EU AI Act. Learn how to avoid common pitfalls and build a resilient, scalable AI strategy. 🎙️ What you’ll learn How to prepare your data for Copilot and AI tools A 3-step framework for successful AI adoption Ways to identify and remove ROT (redundant, obsolete, trivial) data How to align AI rollouts with GDPR and the EU AI Act Techniques for measuring sentiment and adoption across teams ✅ Highlights “Data quality is a super important topic.” “Establishing the correct guardrails of any Copilot release is fundamental.” “If you don’t need it, you should get rid of it.” “ROT data means you can really focus on what is the key thing.” “We discovered the most popular file was the restaurant menu.” “You want to get something done rapidly, but pull in the right parts of the business.” “GDPR and the EU AI Act are super important.” “You can measure sentiment without needing a formal survey.” “We realised there were three copies of the same information going around.” “Some organisations aren’t even prepared.” “You’ve got to make sure you’ve packed properly.” “We help restructure and break down huge icebergs into smaller ones.” 🧰 Mentioned Microsoft Copilot - Enjoy an AI Assistant Anywhere with Copilot for PC, Mac, Mobile, and More | Microsoft Copilot Office 365 - Microsoft 365 - Subscription for Productivity Apps | Microsoft 365 SharePoint - Safely Collaborate and Share Content | Microsoft SharePoint ✅Keywords copilot, ai adoption, data quality, office 365, sharepoint, gdpr, eu ai act, rot data, sentiment analysis, power platform, data governance, legacy systems If you want to get in touch with me, you can message me here on Linkedin.Thanks for listening 🚀 - Mark Smith