Most generative AI and custom model projects will be a bust: Gartner
AI + ML
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Analyst firm Gartner thinks at least half of all generative AI projects “will overrun their budgeted costs due to poor architectural choices and lack of operational know-how,” and most organizations that try to build custom models “will abandon their efforts due to costs, complexity and technical debt in their deployments.”
Those findings headline the Hype Cycle for Generative AI the firm published last week, which considered 30 AI technologies and found none have reached the “plateau of productivity” – Gartner-speak for products and technologies that have gone through two or three generations of evolution, stabilized, and produce verifiable real-world benefits.
To reach the plateau, tech ascends the Peak of Inflated Expectations, falls into the Trough of Disillusionment, and slowly climbs a Slope of Enlightenment.
Gartner labels Domain-specific GenAI models – models built...
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