With the idea of “deep learning” having now become the key to this new generation of solutions, major technological players in the business intelligence sector have taken an interest in the application of Big Data. In this book, the author explores the recent technological advances associated with digitized data flows, which have recently opened up new horizons for AI. The reader will gain insight into some of the areas of application of Big Data in AI, including robotics, home automation, health, security, image recognition and natural language processing.
List of Figures ix
Preface xiii
Introduction xxi
Chapter 1. What is Intelligence? 1
1.1. Intelligence 1
1.2. Business Intelligence 2
1.3. Artificial Intelligence 5
1.4. How BI has developed 6
1.4.1. BI 1.0 7
1.4.2. BI 2.0 8
1.4.3. And beyond 11
Chapter 2. Digital Learning 13
2.1. What is learning? 13
2.2. Digital learning 14
2.3. The Internet has changed the game 16
2.4. Big Data and the Internet of Things will reshuffle the cards 18
2.5. Artificial Intelligence linked to Big Data will undoubtedly be the keystone of digital learning 21
2.6. Supervised learning 22
2.7. Enhanced supervised learning 24
2.8. Unsupervised learning 28
Chapter 3. The Reign of Algorithms 33
3.1. What is an algorithm? 34
3.2. A brief history of AI 34
3.2.1. Between the 1940s and 1950s 35
3.2.2. Beginning of the 1960s 36
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