IDC PlanScape: Enabling Data Governance for Generative AI

IDC PlanScape: Enabling Data Governance for Generative AI

This IDC PlanScape discusses the importance of data governance in the context of generative AI (GenAI). It highlights the need for a disciplined approach to leverage GenAI in organizations, addressing concerns about data control, infrastructure costs, and regulatory risks. The document also emphasizes the role of data and model intelligence in enabling data governance for GenAI and suggests the involvement of various stakeholders across the organization. It concludes by providing advice for technology buyers and referencing related research."Data governance is not a new discipline, but its importance is more paramount now than ever before as organizations running a digital business begin to leverage AI everywhere," said Stewart Bond, vice president of Data Intelligence and Integration Software research at IDC. "Vision, intelligence, people, technology, and process are all critical in reducing risks associated with using internal data against external GenAI models to protect individuals' and intellectual property data from being misused, resulting in undesirable consequences."

Please Note: Extended description available upon request.

IDC PlanScape Figure
Executive Summary
Why Is Enabling Data Governance for Generative AI Important?
Enabling Data Governance for Party Data
Enabling Data Governance in Regulated Industries
Enabling Data Governance for Intellectual Property
Enabling Governance for GenAI at the Infrastructure Level
Preparing for the Next Frontier: Enabling Data Governance for Sovereign AI
What Is Enabling Data Governance for Generative AI?
Data and Model Intelligence
Data Intelligence
Model Intelligence
Data Intelligence and Model Intelligence Enabling Data Governance for Generative AI
Who Are the Key Stakeholders?
How Can My Organization Take Advantage of Enabling Data Governance for Generative AI?
Bodies of Knowledge
Advice for Technology Buyers
Related Research

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