The AI efficiency gap: from TCO crisis to optimized cost and performance
As organizations scale their AI initiatives, the complexity of managing infrastructure, controlling costs, and measuring ROI grows. This new IDC whitepaper, based on a survey of 1,300 global IT leaders, provides a detailed look at the current state of machine learning efficiency and the strategies top organizations are using to succeed.
Inside the whitepaper, you’ll discover:
- Key trends for workload distribution, vendor selection, software, and hardware preferences
- The top technical and operational challenges that hinder AI efficiency
- Future investment priorities shaping the next 1-2 years of AI adoption
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