A methodical path to trustable AI success
How to avoid common pitfalls in AI
Enterprises must maintain a sharp focus and identify strong use cases to succeed with AI.
The race to AI-driven growth is on; but while analysts predict a spending boom, some enterprises are finding the path to success more challenging than others. IDC forecasts that spending on GenAI solutions will exceed US$30 billion by 2027. But Gartner suggests that many AI pilot projects are failing due to factors including poor data quality, escalating costs and unclear business value.
Download this CIO.com whitepaper to see how organizations can ensure that their AI investments deliver growth and innovation.
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