Published: 11 July 2024
Data and analytics leaders can use this research to design an AI governance operating model for their organization’s business objectives. This model should connect with other governance bodies and extend existing governance models to AI-specific considerations of trust, transparency and diversity.
AI governance provides risk mitigation, faster time to value and better utilization of resources. AI governance is non-negotiable because AI exists throughout the enterprise, necessitating balanced AI value and risks.
The three common characteristics of AI governance — trust, transparency and diversity — often appear in AI governance strategies but seldom all together. This impairs AI’s effectiveness and safety.
Generative AI (GenAI) is increasingly in need of AI governance, placing it among the top three positive impacts on broader AI brought by GenAI.
Data and analytics (D&A) leaders should:
Adopt Gartner’s D&A governance operating model as the starting point for
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Analysts:
Svetlana Sicular, Saul Judah
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