An Introduction to Data: Everything You Need to Know About AI, Big Data and Data Science
Author:   Francesco Corea
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   50
ISBN:  

9783030044671


Pages:   131
Publication Date:   10 December 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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An Introduction to Data: Everything You Need to Know About AI, Big Data and Data Science


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Overview

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.    

Full Product Details

Author:   Francesco Corea
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   50
Weight:   0.454kg
ISBN:  

9783030044671


ISBN 10:   303004467
Pages:   131
Publication Date:   10 December 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction to Data.- Big Data Management: How Organizations Create and Implement Data Strategies.- Introduction to Artificial Intelligence.- AI Knowledge Map: how to classify AI technologies.- Advancements in the field.- AI Business Models.- Hiring a data scientist.- AI and Speech Recognition.- AI and Insurance.- AI and Financial Services.- AI and Blockchain.- New roles in AI.- AI and Ethics.- AI and Intellectual Property.- AI and Venture Capital.- A guide to AI accelerators and incubators.

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