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Data Alchemy

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Bibliographic Details
Title: Data Alchemy
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.
Authors: Tirath Virdee
Resource Type: eBook.
Subjects: Data mining, Big data, Artificial intelligence, Information technology, Business--Data processing
Categories: BUSINESS & ECONOMICS / Development / Business Development
Database: eBook Collection (EBSCOhost)
FullText Links:
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Text:
  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1103
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PubType: eBook
PubTypeId: ebook
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  Data: Data Alchemy
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  Data: 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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RecordInfo BibRecord:
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      – Code: 658.0563
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Information technology
        Type: general
      – SubjectFull: Business--Data processing
        Type: general
    Titles:
      – TitleFull: Data Alchemy
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Tirath Virdee
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          Name:
            NameFull: Tirath Virdee
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 29
              M: 08
              Type: profile
              Y: 2024
          Identifiers:
            – Type: isbn-electronic
              Value: 9781911671213
          Titles:
            – TitleFull: Data Alchemy
              Type: main
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