Emerging AI governance tools are essential for enhancing visibility and control over AI application performance, enabling companies to distinguish successful investments from wasteful expenditures.
The cost of AI deployment is daunting, with estimates suggesting that up to 90% of expenditures may be wasted, highlighting the necessity for effective governance solutions.
AI governance requires a distinct approach, extending beyond traditional risk assessments to address crucial elements like bias, effectiveness, and explainability, which are essential for maximizing AI value.
The stakes for effective AI governance are incredibly high, as improving a company's AI win rate could unlock significant competitive advantages despite the inherent risks and challenges.
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