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Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
brings a new unique and global perspective on the subject of 100 highly professional and experienced
researchers and practitioners from 27 different countries: Belgium, Brazil, Canada, China, Colombia,
France, Georgia, Iceland, India, Ireland, Italy, Malaysia, Mexico, Nederland, Norway, Pakistan, Palestine,
Panama, Peru, Poland, Portugal, Russia, Somaliland, Spain, Turkey, United Kingdom, and the USA.
The contemporary world lives on the data produced at an unprecedented speed through social networks
and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming
entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive
useful information from big data for effective and efficient utilization to solve real-world problems. A
broad analytical set allied with solid business logic is fundamental in today’s corporations. Organizations
work to obtain a competitive advantage by analyzing the data produced within and outside their
corporate limits to support their decision-making processes. This book aims to provide an overview of
the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied
to business and industries.
Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
offers a compilation of 30 chapters presenting a holistic approach and is organized in three sections:
“Strategy,” “Action,” and “Reflection.” The spread of this orientation has meant preceding perspective,
reminding that Actions have a greater chance of success if Strategies guide them. Furthermore, Reflection
on the Action is vital for adjustments in the Strategy.
