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Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise: Methodologies and Metrics - Softcover
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The main purpose of this book is to demonstrate how Artificial Intelligence (AI) can be used to find the best ways to reduce energy use in an enterprise. Although AI can use a lot of computer energy, it can also show how to save a lot of energy. The first chapter shows the use of AI and Big Data in the Healthcare Sector to help build a smarter and more intelligent Healthcare System. Researchers in healthcare sectors are relying heavily on big data and compute power to build correlations by using statistical methods and artificial intelligence (AI) models. Some of the challenges with the data used include data quality, data validation, data knowledge, domain expertise, and data integration challenges with various end points. While performing data analysis, the healthcare sectors must take security and data governance (HIPPA regulations etc.) into consideration.
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Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise: Methodologies and Metrics
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Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise
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Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise
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Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise: Methodologies and Metrics
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Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise: Methodologies and Metrics
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Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise: Methodologies and Metrics
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Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise: Methodologies and Metrics
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Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise (Paperback)
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Paperback. Condition: new. Paperback. The main purpose of this book is to demonstrate how Artificial Intelligence (AI) can be used to find the best ways to reduce energy use in an enterprise. Although AI can use a lot of computer energy, it can also show how to save a lot of energy. The first chapter shows the use of AI and Big Data in the Healthcare Sector to help build a smarter and more intelligent Healthcare System. Researchers in healthcare sectors are relying heavily on big data and compute power to build correlations by using statistical methods and artificial intelligence (AI) models. Some of the challenges with the data used include data quality, data validation, data knowledge, domain expertise, and data integration challenges with various end points. While performing data analysis, the healthcare sectors must take security and data governance (HIPPA regulations etc.) into consideration. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9789999338400
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Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise : Methodologies and Metrics
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main purpose of this book is to demonstrate how Artificial Intelligence (AI) can be used to find the best ways to reduce energy use in an enterprise. Although AI can use a lot of computer energy, it can also show how to save a lot of energy. The first chapter shows the use of AI and Big Data in the Healthcare Sector to help build a smarter and more intelligent Healthcare System. Researchers in healthcare sectors are relying heavily on big data and compute power to build correlations by using statistical methods and artificial intelligence (AI) models. Some of the challenges with the data used include data quality, data validation, data knowledge, domain expertise, and data integration challenges with various end points. While performing data analysis, the healthcare sectors must take security and data governance (HIPPA regulations etc.) into consideration. Seller Inventory # 9789999338400
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Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise | Methodologies and Metrics
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Taschenbuch. Condition: Neu. Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise | Methodologies and Metrics | John Lamb | Taschenbuch | Englisch | 2026 | Eliva Press | EAN 9789999338400 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 135133955