Free Webinar Replay :
Being Ready for Copilot in M365: Navigating the Data Landscape
AI has the power to transform our working day. Are you ready to leverage AI and Microsoft Copilot in your daily work? If so, you need to make sure your data is ready too.
Data is the fuel that powers AI, but not all data is created equal. You need to ensure that your data is clean, secure, and relevant to get the most out of Copilot.
In this video, you will learn how to:
- Understand the value and the risk of your data assets.
- Eliminate ROT data (Redundant, Obsolete, and Trivial) that clutters your system.
- Implement the right permissions and policies to protect your data from unauthorized access.
- Keep your data in optimal condition for Copilot and other AI applications.
Key Topics:
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Navigating the data landscape: Rhys Kerrigan explains the importance of managing and protecting data, especially in the context of AI readiness, compliance, customer requirements and insurance policies. He also shared some statistics and consequences of data breaches and suggested a three-step process of assess, remediate and maintain.
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AI readiness: Rhys highlighted the potential benefits and risks of using AI tools like Microsoft Copilot, which can access and learn from the data stored in Microsoft 365. He advised to clean up the redundant, obsolete and trivial data and classify the sensitive data before using AI.
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Compliance, customer requirements and insurance policies: Rhys emphasized the need to comply with the regulatory and contractual obligations around data protection and privacy, as well as the expectations of customers and insurers. He also mentioned some tools and products that Kinetics can offer to help with data policies and reporting.
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Assess, remediate and maintain: Rhys outlined the steps to wrangle the data and reduce the risks. He suggested to assess the data, identify the risks and the sensitivity levels, remediate the data by resolving the risks and applying the rules and policies, and maintain the data by monitoring and reviewing it regularly.
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Next steps: Rhys recommended some actions for the attendees, such as updating their policies, forming a group to assess AI products, thinking about their critical data, reviewing their data sharing and permissions, and contacting Kinetics for help.