Management of Data in AI Age

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Bibliographic Details
Title: Management of Data in AI Age
Description: This book is a compilation of contributed works on management of data in the age of artificial intelligence. The AI technologies have changed the way the businesses do manage themselves in modern times. It becomes much more important to manage the data a business owns when the same can be collated and used by the allied AI technologies for forming business decisions. This book highlights how AI and machine learning can help businesses categorise and manage their organizational data. The book introduces how small businesses can benefit from AI technologies for their data management with limited budgets. The book advocates for making AI processes to be core part of consumer experience and support management within the businesses. As a unique feature, this book also goes to make an awareness as to how human brain can use AI's deep learning capabilities to make reflective decisions. The book also introduces as to how big data and big data analytics can help agriculture and farm management sector. It is hoped that the readership will find this book useful in the areas of big data management, machine learning and data decisions, AI technologies for small businesses, usage of AI in emerging sectors and those areas where data needs to managed in an environment of automation.
Authors: MSS El Namaki, Pooja Sharma
Resource Type: eBook.
Subjects: Big data, Machine learning, Artificial intelligence
Categories: COMPUTERS / Artificial Intelligence / General, LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General, COMPUTERS / Databases / Servers
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
Text:
  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
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PubType: eBook
PubTypeId: ebook
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  Data: Management of Data in AI Age
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  Label: Description
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  Data: This book is a compilation of contributed works on management of data in the age of artificial intelligence. The AI technologies have changed the way the businesses do manage themselves in modern times. It becomes much more important to manage the data a business owns when the same can be collated and used by the allied AI technologies for forming business decisions. This book highlights how AI and machine learning can help businesses categorise and manage their organizational data. The book introduces how small businesses can benefit from AI technologies for their data management with limited budgets. The book advocates for making AI processes to be core part of consumer experience and support management within the businesses. As a unique feature, this book also goes to make an awareness as to how human brain can use AI's deep learning capabilities to make reflective decisions. The book also introduces as to how big data and big data analytics can help agriculture and farm management sector. It is hoped that the readership will find this book useful in the areas of big data management, machine learning and data decisions, AI technologies for small businesses, usage of AI in emerging sectors and those areas where data needs to managed in an environment of automation.
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  Data: <searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.3
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
    Titles:
      – TitleFull: Management of Data in AI Age
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: MSS El Namaki
      – PersonEntity:
          Name:
            NameFull: Pooja Sharma
      – PersonEntity:
          Name:
            NameFull: MSS El Namaki
      – PersonEntity:
          Name:
            NameFull: Pooja Sharma
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
            – D: 03
              M: 06
              Type: profile
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9788194848349
            – Type: isbn-electronic
              Value: 9788194848356
          Titles:
            – TitleFull: Management of Data in AI Age
              Type: main
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