An Introduction to Data

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.

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

Contenu
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.