An Introduction to Data
Everything You Need to Know About AI, Big Data and Data Science
Authors: Corea, Francesco
Free Preview- An essential introductory book on innovation, big data, and data science from a business perspective
- Provides a first read and point of departure for executives who want to keep pace with the breakthroughs introduced by new analytical techniques and tremendous amounts of data
- Addresses recent advances in machine learning, neuroscience, and artificial intelligence
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- About this book
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This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies.
- Table of contents (16 chapters)
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Introduction to Data
Pages 1-5
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Big Data Management: How Organizations Create and Implement Data Strategies
Pages 7-13
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Introduction to Artificial Intelligence
Pages 15-23
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AI Knowledge Map: How to Classify AI Technologies
Pages 25-29
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Advancements in the Field
Pages 31-39
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Table of contents (16 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- An Introduction to Data
- Book Subtitle
- Everything You Need to Know About AI, Big Data and Data Science
- Authors
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- Francesco Corea
- Series Title
- Studies in Big Data
- Series Volume
- 50
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-04468-8
- DOI
- 10.1007/978-3-030-04468-8
- Hardcover ISBN
- 978-3-030-04467-1
- Series ISSN
- 2197-6503
- Edition Number
- 1
- Number of Pages
- XV, 131
- Topics
