Description

Beginning with the key challenges that enterprises face in generating value from data, this practical and provocative book systematically outlines practical processes, frameworks and data science and artificial intelligence toolkits to enable businesses to achieve better business outcomes. Written by two leading practitioners, this playbook explores the relationship between data, customer experience and business value. The book features illustrative examples and open source codes to enhance your business knowledge and provide the necessary actions relevant to any industry, and can be successfully deployed by business executives, data science innovators and practitioners. Referencing multi-cloud Agile DevOPs, Data Science and AI, the book addresses issues from defining and sizing projects to continuous development, continuous integration and continuous deployment. It breaks down the value journey into easy to understand steps that all businesses will find engaging and invaluable in their data-driven transformation.

Data Alchemy: The Genesis of Business Value

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Hardback by Tirath Virdee , Brown Doug

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Beginning with the key challenges that enterprises face in generating value from data, this practical and provocative book systematically outlines... Read more

    Publisher: LID Publishing
    Publication Date: 16/12/2021
    ISBN13: 9781912555833, 978-1912555833
    ISBN10: 1912555832

    Number of Pages: 232

    Non Fiction , Computing

    Description

    Beginning with the key challenges that enterprises face in generating value from data, this practical and provocative book systematically outlines practical processes, frameworks and data science and artificial intelligence toolkits to enable businesses to achieve better business outcomes. Written by two leading practitioners, this playbook explores the relationship between data, customer experience and business value. The book features illustrative examples and open source codes to enhance your business knowledge and provide the necessary actions relevant to any industry, and can be successfully deployed by business executives, data science innovators and practitioners. Referencing multi-cloud Agile DevOPs, Data Science and AI, the book addresses issues from defining and sizing projects to continuous development, continuous integration and continuous deployment. It breaks down the value journey into easy to understand steps that all businesses will find engaging and invaluable in their data-driven transformation.

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