An Introduction to Data Everything You Need to Know About AI, Big Data and Data Science /

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,...

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Bibliographic Details
Main Author: Corea, Francesco (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Studies in Big Data, 50
Subjects:
Computational intelligence.
Big data.
Quantitative research.
Artificial intelligence.
Neural networks (Computer science) .
Computational Intelligence.
Big Data.
Data Analysis and Big Data.
Artificial Intelligence.
Mathematical Models of Cognitive Processes and Neural Networks.
Online Access:Full-text access
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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