Microsoft Cloud Bootcamp for Education | Session Three: Innovation

We’ve spoken to many IT leaders in education. Their common goal is to modernise their data estate for machine learning, automation, and AI. But the challenge is knowing where to start and the steps to take.

Our seven-step roadmap can guide you. While each education organisation is at a different stage, we aim to help you identify your position and what you need to do to progress.

In session three of our Microsoft Cloud Bootcamp for Education, our Cloud Evangelist Leon Godwin and Data and AI Practice Lead, Dr Victoria Holt discuss steps six and seven of our seven-step Data and AI Roadmap. They take a deep dive into how to improve your data quality and governance, having a strong data architecture for using AI and the key elements to implementing an AI strategy.

09:51: Understanding your data
18:24: What is data governance?
21:35: How is data used and who owns the data?
27:23: The many forms of data
28:36: What is Microsoft Fabric?
33:35: Why responsible AI is important
38:20: The elements of an AI strategy
46:12: The vision and goals for AI
48:00: Depper dive into AI components and AI agents
01:00:02: Innovation and Experimentation with AI