Industrial IoT Spotlight - Replicate human decision making in industrial environments with Autonomous AI
Episode 178
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Exciting advancements in industrial AI are revolutionizing the manufacturing sector, and we are proud to highlight our Director of Industrial AI, Bryan DeBois' recent appearance on the Industrial IoT Spotlight podcast. During the episode, Bryan delved into how AI is transforming manufacturing operations by enhancing data collection, analysis, and decision-making processes. The discussion covered the evolution of control systems into sophisticated information systems and highlighted the crucial role of big data in driving these technological advancements. By leveraging technologies like deep reinforcement learning and machine teaching, industrial AI is optimizing operations, reducing waste, and significantly improving efficiency.
With over two decades of experience at RoviSys, Bryan shared invaluable insights into the current state and future potential of industrial AI. The podcast explored the concept of autonomous AI, which combines machine learning with simulation to enable systems to make intelligent, human-like decisions. The importance of integrating AI into existing plant processes and the role of simulation in training AI models was also emphasized. This episode is a must-listen for anyone interested in the cutting-edge developments in industrial AI and its practical implications. Dive in to discover how industrial AI is shaping the future of manufacturing and driving unprecedented efficiencies.
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In this episode, we talk about the concept of autonomous AI that integrates deep reinforcement learning based on machine data with machine teaching based on the main expertise and improvement through simulation. We also explored the industrial landscape broadly, including the cost structure, ROI targets, use cases, cloud strategy, and emerging technologies like GPT4.
Key Questions:
● What is autonomous AI?
● What is the status of industrial AI in the S-curve of artificial intelligence?
● What are the use cases that are fit for autonomous AI?
● What is the cost structure for autonomous AI?