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Feb. 8, 2024, 3:11 p.m.

Hypercycle for Artificial Intelligence, 2023" by Gartner

Hypercycle for Artificial Intelligence, 2023" by Gartner. This is a graphical representation of the maturity and adoption of AI technologies and applications. The curve starts with the "Innovation Trigger, " where new technologies emerge, followed by the "Peak of Exaggerated Expectations, " where early publicity generates lots of success stories - often along with a slew of failures. It then descends into the "Trough of Disillusionment" where experiments and implementations fail to meet expectations.

This follows the "Rise of Enlightenment" where benefits begin to crystallize from surviving ideas and products, and finally reaches the "Plateau of Productivity" where mass adoption begins. Technologies such as smart robots, generative AI and neuromorphic computing are at the peak, which implies high expectations, but potentially face disappointment when problems arise. Other technologies, such as cloud-based AI services and data annotation, are on the rise or on a plateau, indicating that they are becoming more widely accepted and integrated into manufacturing use cases. The chart provides estimates of the time it will take for technologies to reach a performance plateau.

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