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Artificial intelligence and big data : the birth of a new intelligence

Author: Fernando Iafrate
Publisher: London, UK : ISTE ; Hoboken, NJ, USA : Wiley, 2018.
Series: Advances in information systems set, v. 8.; Information systems, web and pervasive computing series.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
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 digitised data flows, which have recently opened up new horizons for AI. The reader will gain insight into some of the  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: ebook version :
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Fernando Iafrate
ISBN: 9781786300836 1786300834
OCLC Number: 1035635504
Description: xxxiii, 117 pages : illustrations ; 25 cm.
Contents: Cover --
Half-Title Page --
Title Page --
Copyright Page --
Contents --
List of Figures --
Preface --
Introduction --
1. What is Intelligence? --
1.1. Intelligence --
1.2. Business Intelligence --
1.3. Artificial Intelligence --
1.4. How BI has developed --
1.4.1. BI 1.0 --
1.4.2. BI 2.0 --
1.4.3. And beyond ... --
2. Digital Learning --
2.1. What is learning? --
2.2. Digital learning --
2.3. The Internet has changed the game --
2.4. Big Data and the Internet of Things will reshuffle the cards --
2.5. Artificial Intelligence linked to Big Data will undoubtedly be the keystone of digital learning --
2.6. Supervised learning --
2.7. Enhanced supervised learning --
2.8. Unsupervised learning --
3. The Reign of Algorithms --
3.1. What is an algorithm? --
3.2. A brief history of AI --
3.2.1. Between the 1940s and 1950s --
3.2.2. Beginning of the 1960s --
3.2.3. The 1970s --
3.2.4. The 1980s --
3.2.5. The 1990s --
3.2.6. The 2000s --
3.3. Algorithms are based on neural networks, but what does this mean? --
3.4. Why do Big Data and AI work so well together? --
4. Uses for Artificial Intelligence --
4.1. Customer experience management --
4.1.1. What role have smartphones and tablets played in this relationship? --
4.1.2. CXM is more than just a software package --
4.1.3. Components of CXM --
4.2. The transport industry --
4.3. The medical industry --
4.4. ÃØÂ#x80;Â#x9C;SmartÃØÂ#x80;Â#x9D; personal assistant (or agent) --
4.5. Image and sound recognition --
4.6. Recommendation tools --
4.6.1. Collaborative filtering (a ÃØÂ#x80;Â#x9C;collaborativeÃØÂ#x80;Â#x9D; recommendation mode) --
Conclusion --
APPENDICES --
Appendix 1: Big Data --
Appendix 2: Smart Data --
Appendix 3: Data Lakes --
Appendix 4: Some Vocabulary Relevant to Artificial Intelligence --
Appendix 5: Comparison Between Machine Learning and Traditional Business Intelligence. Appendix 6: Conceptual Outline of the Steps Required to Implement a Customization Solution based on Machine Learning --
Bibliography --
Glossary --
Index --
Advances in Information Systems Set --
Other titles from iSTE in Information Systems, Web and Pervasive Computing --
EULA.
Series Title: Advances in information systems set, v. 8.; Information systems, web and pervasive computing series.
Responsibility: Fernando Iafrate.

Abstract:

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 digitised 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.

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