Published: 03 October 2024
As organizations evolve from AI pilots to operationalized AI, governance will become crucial to continuing success. CIOs and executives must blend IT, risk, and data and analytics governance domains to make appropriate decisions on the responsible use of AI across the enterprise.
Enterprises are challenged in capturing the opportunity of AI in a risk-adjusted way, addressing the various business use cases and resolving tensions from internal and external stakeholders on the responsible use of AI.
The impact and opportunity of AI demands blended decision making across IT, data and analytics (D&A) and risk governance domains set to the appropriate risk appetite and prioritized resourcing.
The bottom-up approach to implementing AI in enterprises has led to multidisciplinary orchestration challenges in scaling AI across the enterprise, from disjointed decision making toward achieving business outcomes to AI system failures creating exposure to the enterprise.
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Analysts:
Remi Gulzar, Joanne Kopcho
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