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Название: Artificial Intelligence and Big data: The Birth of a New Intelligence
Автор: Fernando Iafrate
Издательство: Wiley
ISBN: 1786300834
Год: 2018
Страниц: 162
Язык: английский
Формат: pdf (true), epub
Размер: 11.9 MB

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.

This need to act and react in real time in a complex environment has been the case for years, and the advent of Big Data and connected devices has only increased the complexity of processing this information; solutions and organizations (statisticians, decision analysts, etc.) are overwhelmed by this continuous flow of data (the Internet never sleeps).

Artificial Intelligence (AI) is one of the most promising solutions to the massive, self-learning, autonomous exploitation of “Big Data”. More precisely, “Deep Learning”, which emerged in the 1980s with the advent of neural networks, is now becoming the keystone to this new generation of solutions. Advances in technology with digitized data flows have opened up new horizons in this field and anything that has not misled the major technological players in Business Intelligence has been swallowed up as the logical sequel to Big Data.

There are many possible fields of application for AI, such as robotics (connected and autonomous cars), home automation (smart home), health (assistance in medical diagnosis), security, personal assistants (which will become essential tools in our daily lives), expert systems, image, sound and facial recognition (and why not analyze emotions too), natural language processing… But also, customer relations management (to anticipate or even exceed our expectations). All these systems will be self-learning, their knowledge will only grow with time and they will be able to exchange knowledge between each other.

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