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Studies in Autonomic, Data-driven and Industrial Computing

Studies in Autonomic, Data-driven and Industrial Computing

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Studies in Autonomic, Data-driven and Industrial Computing

Sharma, Neha; Bhatavdekar, Mandar

This book covers research work spanning the breadth of ventures, a variety of challenges and the finest of techniques used to address data and analytics, by subject matter experts from the business world. The content of this book highlights the real-life business problems that are relevant to any industry and technology environment. This book helps us become a contributor to and accelerator of artificial intelligence, data science and analytics, deploy a structured life-cycle approach to data related issues, apply appropriate analytical tools & techniques to analyze data and deliver solutions with a difference. It also brings out the story-telling element in a compelling fashion using data and analytics. This prepares the readers to drive quantitative and qualitative outcomes and apply this mindset to various business actions in different domains such as energy, manufacturing, health care, BFSI, security, etc.

Details

Published by: Springer

Publication Date: 2023-10-02

Format: Paperback

ISBN-13: 9789811956911

DOI: 10.1007/978-981-19-5689-8

Dimensions: 235cm x155cm

Pages: 201

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