Microsoft 365 Copilot: A Step-by-Step Guide to Secure AI Adoption

Nearly 70% of Microsoft 365 Copilot users already feel more productive, with higher quality work - is your team ready to join them?

Built on the familiar tools you already use every day, Copilot seamlessly integrates AI into your organization's day-to-day, making it easier and faster to realize the ROI of AI. But it's important to recognize that without a plan for sustainable adoption, your organization may struggle to take full advantage of the transformative solution.

Our free guide, "Microsoft 365 Copilot: A Step-by-Step Guide to Secure AI Adoption," provides a comprehensive roadmap to achieving optimal results with Copilot. We'll walk you through key actions you should take to unlock the full potential of Copilot, including:

• Centralize your data in Microsoft 365 and improve your data quality to enhance AI recommendations
• Understand where you have sensitive and overshared content in Microsoft 365 and implement robust security measures to secure it
• Elevate your data management practices and implement and enforce governance controls to fuel sustainable AI success

Don't wait to start your AI journey. Get your copy of our comprehensive Microsoft 365 Copilot quick start guide today and take the first step towards secure AI adoption.
 

Table of Contents

• Introduction
• Prepare Your Data
• Secure Your Data
• Optimize Your Operations
• Microsoft 365 Copilot Quick Start Guide
• Bringing It All Together
  
   

Get a Sneak Peek

Don't Let Bad Data Ruin Your AI Efforts
Generative AI algorithms rely on large amounts of data to learn and make accurate predictions, and the quality of its output depends on the quality of data it is trained on. If the data is decentralized, disorganized, or contains errors, the algorithms may produce inaccurate results, which can lead to poor decision-making and business outcomes. That's why it's essential to take the time to prepare your data before feeding it into an AI system like Microsoft 365 Copilot.
 

Keep Your Data Safe from the Bad Guys (and the Good Guys, too)
Data security is a top concern and potential downside associated with generative AI tools, according to a recent Deloitte study. While many may focus on defending against external threats, it may be internal threats you should be most concerned about; 60% of organizations that faced an AI security or privacy incident reported data compromise by an internal party. This is why data security and permission management go hand-in-hand when it comes to AI implementation.
 

Don't Let Your AI Dreams Become a Management Nightmare
Manual scaling of Microsoft 365 Copilot is not sustainable or cost-effective in the long run, particularly as organizations’ usage of AI increases exponentially. For example, businesses are already creating more data than ever before; the volume of digital data being generated globally is doubling every two years. As you begin to leverage AI like Microsoft 365 Copilot, you’ll generate even more data. So how can you manage and govern this data safely to ensure its accuracy, security, and compliance?