Author: Bryan LukasPublisher:
ISBN: 9781713805892
Category :
Languages : en
Pages :
Book Description
AMA Winter Academic Conference 2020
Author: Bryan LukasPublisher:
ISBN: 9781713805892
Category :
Languages : en
Pages :
Book Description
AMA Summer Academic Conference 2020
Author: American Marketing Association. Educators' ConferencePublisher:
ISBN: 9781713822240
Category :
Languages : en
Pages : 1076
Book Description
AMA Winter Academic Conference 2023
Author: Nita UmashankarPublisher:
ISBN: 9781713871903
Category :
Languages : en
Pages : 0
Book Description
AMA Winter Academic Conference 2021
Author: Alan J. MalterPublisher:
ISBN: 9781713825180
Category :
Languages : en
Pages : 884
Book Description
AMA Winter Academic Conference 2022
Author: Ashlee HumphreysPublisher:
ISBN: 9781713848301
Category :
Languages : en
Pages : 0
Book Description
AMA Winter Educators' Conference
Author: AMA Winter Academic Conference 2019
Author: Son K. LamPublisher:
ISBN: 9781510885653
Category :
Languages : en
Pages :
Book Description
AMA Winter Educators' Conference
Author: American Marketing AssociationPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
AMA Winter Educators' Conference
Author: Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
Author: Chkoniya, ValentinaPublisher: IGI Global
ISBN: 1799869865
Category : Computers
Languages : en
Pages : 653
Book Description
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 the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational 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. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.