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Enterprises Delay AI Projects Over Infrastructure
6.2
More than half of enterprise AI projects were delayed or canceled within the last two years, according to a DDN-commissioned report conducted with Google Cloud and Cognizant surveying 600 US IT and business decision-makers. About two-thirds of respondents said their AI environments are too complex to manage, and 97% expect scaling to require cloud deployments. The findings underscore infrastructure, power and orchestration shortfalls hindering ROI.
Key Points
- 1Report finds over half of enterprise AI projects delayed or canceled within past two years.
- 2Highlights infrastructure complexity: two-thirds of 600 decision-makers say AI environments are too complex.
- 3Implies organizations must address data, orchestration, power and operational foundations to unlock ROI.
Scoring Rationale
Moderate novelty and broad enterprise relevance, but based on a vendor-commissioned survey rather than peer-reviewed research.
Sources
Public references used for this report.
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