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Explore the transformative impact of IoT data and AI software on business models in this 45-minute conference talk from ML Conference 2017. Delve into the potential of Reinforcement Learning for industrial optimization, covering topics such as energy consumption/generation, predictive maintenance, raw material usage, and final product quality. Gain insights into how companies are adapting to the AI boom and the challenges faced by established firms in this rapidly evolving landscape. Learn about ML6's approach to leveraging IoT data for industrial applications and understand the broader implications of AI and IoT integration across various sectors.
Syllabus
IoT and AI software in industry and production | ML Conference 2017 Session Xander Steenbrugge
Taught by
MLCon | Machine Learning Conference