This book is a continuation of the author’s previous work, From Big Data to Smart Data (2015), which explored Artificial Intelligence (AI) in the context of data exploitation, self-learning and autonomous processing. With the idea of “deep learning” having now become the key to this new generation of solutions, major technological players in the business […]
This book is a continuation of the author’s previous work, From Big Data to Smart Data (2015), which explored Artificial Intelligence (AI) in the context of data exploitation, self-learning and autonomous processing.
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.
1. What is Intelligence?
2. Digital Learning.
3. The Reign of Algorithms.
4. Uses for Artificial Intelligence.
Appendix 1. Big Data.
Appendix 2. Smart Data.
Appendix 3. Data Lakes.
Appendix 4. Some Vocabulary Relevant to.
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.
