Edited Book

Management of Data in AI Age

Edition 2020 | Editors: Dr MSS El Namaki, Dean, School of Management, Victoria University, Switzerland. &
Pooja Sharma, Principal Consultant- Business Analytics, SKS Consulting & Advisors, India





The book proposes to explore the best ways to protect data, manage it and to put it to the best possible usage. The book proposes to include newer strategies and methods to best manage the enterprise data taking reference of the AI and its usage in the modern enterprises.

About the Book

The book, Management of Data in AI Age, proposes to assimilate thought provoking ideas and management strategies for the management of data in the age of artificial intelligence (AI).

Topics Concentrates

Artificial Intelligence (AI) & its usage in business
Impacts of AI on Enterprise Data
Data Science
Data Analytics & its usage for businesses
Data Management
AI Management for Data Applications
Data Protection & Privacy Management
Technological Threats & Opportunities to Enterprise Data
Data Analysis & Strategy Planning
Online Privacy & its Management by Businesses
Role of Data Professionals for businesses
Data & its classification in light of AI
Risks & Challenges to Enterprise Data

Editorial Policies & Authors Guidelines

The chapters covering any of the above mentioned topics can be submitted to the editorial office. The submitted chapters will be screened for originality examination and be subject to the editorial review before an acceptance.

The authors submitting chapters to this book need to adhere to our policies on plagiarism, scholarly misconduct, and publications ethics. The copyright in respect of the accepted chapters will remain with the authors with the publications rights being with the CSMFL Publications.

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