This phase is crucial for separating sustainable innovation from fleeting trends, allowing for a more objective evaluation of the technology's true capabilities. Phase Key Characteristic AI Example.
Gartner AI Hype Cycle Productivity 2024: Navigating the Trough of Disillusionment and Beyond
AI experienced this phase vividly, with countless vendors claiming revolutionary capabilities that often fell short in real-world scenarios. Many companies experiment with pilots, but the results are often mixed or fail to deliver the promised transformation.
Phase 1: Technology Trigger The journey begins with a Technology Trigger, which is often a breakthrough, grand announcement, or significant increase in public visibility. Early adopters with a pragmatic approach begin to demonstrate tangible benefits, providing concrete use cases.
Gartner AI Hype Cycle Productivity 2024: Navigating the Trough of Disillusionment
Phase 3: Trough of Disillusionment The Trough of Disillusionment arrives when the initial excitement fades, and the technology fails to meet the exaggerated promises. The Descent into Reality Not all technologies survive the descent from the peak, but those with genuine value move into the subsequent phases.
More About Gartner ai hype cycle
Looking at Gartner ai hype cycle from another angle can help expand the discussion and give readers a second clear paragraph under the same section.
More perspective on Gartner ai hype cycle can make the topic easier to follow by connecting earlier points with a few simple takeaways.
