Autonomous AI represents a frontier in artificial intelligence, encompassing a spectrum that differs from predictive and generative capabilities. Distinguishing between these facets, predictive AI anticipates outcomes based on historical data, while generative AI creates new content or scenarios. Autonomous AI, however, takes a leap further by not only predicting but actively making decisions independently. Its potential lies in its ability to autonomously analyze complex datasets, discern patterns, and make informed decisions without constant human intervention. The nuances of autonomous AI extend to advancements like DeepMind and deeper reinforcement learning, pushing the boundaries of machine intelligence.
In today's episode, our guest, Bryan DeBois, discusses how autonomous AI differs from predictive and generative AI. He also breaks down how and why autonomous AI is especially relevant in industrial applications. Finally, he sheds light on various issues manufacturers face today, such as their unwillingness to connect their current equipment to the Internet. If you’d like to learn more about Bryan, head over to rovisys.com.
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