Management of data in AI age (eBook, 2020) [WorldCat.org]
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Management of data in AI age

Author: M S S el-Namaki; Pooja Sharma
Publisher: Jagadhri, India : CSMFL Publications, 2020.
Edition/Format:   eBook : Document : English
Summary:
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  Read more...
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Details

Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: M S S el-Namaki; Pooja Sharma
ISBN: 9788194848356 8194848350
OCLC Number: 1204120667
Description: 1 online resource
Contents: Artificial intelligence in business / by Amandeep Kaur, Anjum Mohammad Aslam --
Applied artificial intelligence : making AI work for consumers as a core business component / by Mikael Wiberg --
Does the human brain resort to AI's deep learning in order to solve problems / by M.S.S. El Nameki --
Artificial intelligence, machine learning and data science as iterations of business automation for small businesses / by Pooja Sharma --
Big data and data analytics in agricultural space : towards sustainable and intelligent agro sector development / by P.K. Paul, Anil Bhuimali, R.R. Sinha, K.S. Tiwary, Pappachan Baby, R. Rajesh.
Other Titles: Management of data in artificial intelligence age
Responsibility: edited by MSS El Namaki & Pooja Sharma.

Abstract:

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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