Chapter 5AI in Manufacturing and Energy
Artificial intelligence is here and being rapidly commercialized, with new applications being created not just for manufacturing but also for energy, healthcare, oil, and gas. This will change how we all do business.
Joe Kaeser, CEO of Siemens AG
The use of data from the Internet of Things (IoT) and AI and machine learning within manufacturing has gained momentum due to the Industry 4.0 program in Germany1 and the US Advanced Manufacturing Initiative in the United States.2 The latter suggested launching an “Advanced Manufacturing Initiative” that would “support innovation in advanced manufacturing through applied research programs for promising new technologies, public-private partnerships around broadly-applicable and precompetitive technologies, the creation and dissemination of design methodologies for manufacturing, and shared technology infrastructure to support advances in existing manufacturing industries.”3
Both the manufacturing and energy sectors are particularly well suited to the use of AI because they produce enormous amounts of data in a variety of formats, and they will continue to do so into the future. Much of this data is collected using sensors that monitor everything from the equipment used to the rate of a chemical process. Connecting these sensors to computers through wireless or wired networks enables AI algorithms to use this data to improve such things in the manufacturing process as quality, productivity, distribution, ...
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