AI’s Time-to-Market Quagmire:
Why Enterprises Struggle to Scale AI Innovation
Insights from 100 senior AI and data leaders pursuing robust frameworks to manage risk while boosting innovation – and why some are getting left behind
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In partnership with ModelOp, we surveyed 100 senior leaders responsible for for AI, Data, Innovation, and Transformation at enterprise-level organizations about their investments in, and views of, generative AI and AI governance.
This exclusive report quantifies the problems they face when it comes to accelerating and scaling AI initiatives.
Key findings include:
- 80% of enterprises have at least 51 generative AI use cases in the proposal phase, but most only have only a handful of production use cases
- 86% of enterprises run the risk of inconsistent reporting and duplicate work because they do not carry out AI assurance at the enterprise level
- 27% of enterprises have budgeted up to $5m for AI governance software – demonstrating a trend towards ring-fencing funds for this purpose
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