- Course
Assessing Data Readiness for Generative AI
Generative AI thrives on quality data—and your organization already has plenty of it. This course helps you assess whether that data is ready to drive Generative AI success.
Beginner
- Course
Assessing Data Readiness for Generative AI
Generative AI thrives on quality data—and your organization already has plenty of it. This course helps you assess whether that data is ready to drive Generative AI success.
Beginner
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What you'll learn
Generative AI solutions rely on high-quality, well-managed data — and your organization’s existing data can be one of its most valuable assets. In this course, Assessing Data Readiness for Generative AI, you’ll learn to evaluate whether your organization’s data foundation is ready to support Generative AI initiatives. First, you’ll explore why securing, governing, and understanding different types of data is essential before AI adoption. Next, you’ll discover how integrating data from across your organization improves context and reliability. Finally, you’ll learn how to assess data quality and identify potential gaps or biases that could impact AI outcomes. When you’re finished with this course, you’ll have the knowledge of data readiness needed to begin planning your Generative AI deployment.
Assessing Data Readiness for Generative AI
Beginner
Table of contents
Vlad is an Office 365 consultant helping organizations get the most out their Microsoft 365 Digital Workplace. IT Professional at heart, Vlad focuses on helping administrators deploy, manage, automate, and configure governance across services such as SharePoint, OneDrive for Business, and Microsoft Teams. As an author, Microsoft Certified Trainer and recognized international speaker, Vlad has helped over a million IT Professionals and end-users across the globe to better understand and to get the most out of Office 365 and the greater Microsoft 365 platform. Vlad is the author of three SharePoint books published by Apress and over 25 courses on Pluralsight covering Microsoft 365, Azure, and the Power Platform.
