From the course: The New AI Tech Stack: AI Literacy for Tech Leaders
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Gartner Hype Cycle
From the course: The New AI Tech Stack: AI Literacy for Tech Leaders
Gartner Hype Cycle
- It's one thing to understand the concepts behind AI, like machine learning and deep learning, but it's another thing to know how different technologies are created using AI and data science. Those technologies tend to change over time, meaning they become common and are not a novelty anymore. Like with face recognition, now we have it on our phones, but once upon a time, it was extremely advanced technology. Enter the Gartner Hype Cycle, a graph showing the maturity, adoption, and social application of technology. It has five phases. Let's work through them. Innovation trigger, a potential technology breakthrough kicks things off. Often, no usable products exist, and commercial viability is unproven. Then we go to peak of inflated expectations. Early publicity produces a number of success stories. Some companies take action. Then, trough of disillusionment. Implementations fail to deliver. Producers of the technology shake out or fail. Next, slope of enlightenment. Second and third…
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Contents
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(Locked)
Gartner Hype Cycle3m 8s
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RPA (robotic process automation)2m 11s
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Robotics4m 3s
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Fraud detection2m 27s
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Predictions3m 44s
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Optimization4m 13s
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Recommendations5m 9s
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Computer vision3m 46s
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Smell, taste, touch4m 31s
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Voice3m 43s
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Autonomous vehicles3m 40s
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IoT and smart cities3m 50s
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AR, VR, and the metaverse3m 45s
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(Locked)
NLP4m 21s
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