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Mardi Witzel: Generative AI and the Trough of Disillusionment
- Generative AI has entered a “trough of disillusionment,” a pit stop on the maturity and adoption graph.
- Machine learning could be argued that it remains the more impactful, more understood and safer form of AI.
- Continued investment in generative AI gathers risk and is contingent on the satisfaction and continuing support of early adopters.
- The technology retains a magnetic appeal for many investors, though it is grounded in an uncertain possibility.
- Enterprise customers will retrench, confronted with the weak ROI of many use cases of generative AI, and rethink how technology can support business priorities.
- Machine learning might be seen as a smaller, more precise tool that can be applied to core business challenges with a clearer line of sight to ROI.
- Machine learning has been around for decades and is applied in a wide cross-section of industries.
- The pent-up demand for AI that delivers tangible results may stimulate a resurgent interest in traditional forms of technology such as machine learning.
- Training large language models will cost between $10 and $100 billion in the next three years.
- PolyML is an early-stage Canadian AI and machine learning company with novel technology.
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