Using AI to Find the Best Ways to Reduce Energy Use in an Enterprise: Methodologies and Metrics - Softcover
Synopsis
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 (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 multiple locations in the US or from the UK, 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
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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 Sydney, NSW warehouse or from our UK or US warehouse, 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 (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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