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AI-Governance in Practice - From Shadow Risks to Trusted Automation
Why 95% of AI Projects Fail—and How to Fix It
Most enterprise AI initiatives never deliver on their promise. MIT research shows a staggering 95% fall short of real impact. In this episode, we dive into what it takes to transform AI from a risky experiment into a true strategic asset.
We’ll unpack the keys to success: clear ownership, identifying hidden risks in the AI layer, implementing policy-driven safeguards, and using purpose-based lifecycle management to bring AI under control.
Whether you’re a business leader, innovator, or governance professional, this episode provides actionable insights to move your organization from chaotic experimentation to meaningful, lasting results with AI.
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By SafePaaSWhy 95% of AI Projects Fail—and How to Fix It
Most enterprise AI initiatives never deliver on their promise. MIT research shows a staggering 95% fall short of real impact. In this episode, we dive into what it takes to transform AI from a risky experiment into a true strategic asset.
We’ll unpack the keys to success: clear ownership, identifying hidden risks in the AI layer, implementing policy-driven safeguards, and using purpose-based lifecycle management to bring AI under control.
Whether you’re a business leader, innovator, or governance professional, this episode provides actionable insights to move your organization from chaotic experimentation to meaningful, lasting results with AI.