Ensuring AI Success: The Essential Role of Data Governance

Aug 1, 2024

Understanding Generative AI: An Overview

The influence of generative AI in today’s world is more significant than ever. Its capabilities extend to creating original and engaging content across various media formats, including text, video, and imagery, revolutionizing how content is produced and consumed. Organizations that effectively harness the potential of generative AI by integrating it into their workforce can optimize operations and maintain a competitive edge. However, the use of this technology involves significant risks.

Are you AI ready?

Ensuring that your business is prepared for AI is crucial prior to any deployment. To maximize value in an enterprise setting, generative AI applications typically start by indexing information sources such as mailboxes, document repositories, and chat histories, hence why data protection has become a cornerstone of successful AI integration. It is essential to continuously assess what information will be indexed and to ensure that the Data Governance team is equipped with the necessary tools to safeguard vital information. While data governance has taken a back seat in many verticals, it is now imperative to enhance this area for a seamless transition to an AI-powered future, effectively mitigating data-related challenges.

Data Governance Journey

• Identifying key sensitive data and their storage locations.
  • To effectively protect information, it is essential to first understand what it is, how it moves, and where it resides. There is no need to tackle everything at once; instead, focus on identifying key levels and categories that will allow you to efficiently organize documents and information.
• Creating a data taxonomy to enhance data quality tracking.
  • Having a data taxonomy will streamline the standardization and interoperability of your data, leading to improved data quality and clarity.
• Evaluating the current sharing structure and existing access control policies.
  • Conducting a gap analysis on the current control structure ensures that permissions are minimized without compromising data availability.
• Continuously updating the data governance policy and monitoring its use.
  • As data sprawl continues to expand, our policies must also evolve. This includes monitoring data usage and tracking where the data is being transmitted.

Embracing AI: Copilot for Microsoft 365

Across all functions, Microsoft Copilot is designed to drive efficiency and productivity. Whether writing a proposal, generating a presentation, summarizing meeting minutes, or catching up on activities while on PTO, Copilot is there to assist. Lightstream’s expertise ensures a seamless adoption process built on a secure foundation, led by industry experts, enabling you to dive into an AI-supported environment effortlessly from any stage.

Nick Buhler,

Sr. Security Engineer.