Recent Trends and Advances in Artificial Intelligence and Internet of Things da Balas, Valentina E. (Editor)/ Kumar, Raghvendra (Editor)/ Srivastava, Rajshree (Editor): Brand New Paperback (2020)

Riguardo questo articolo

607 pages. 9.25x6.10x1.77 inches. In Stock.

Codice articolo x-3030326462

Contatta il venditore

Segnala questo articolo

Dati bibliografici

Titolo: Recent Trends and Advances in Artificial Intelligence and Internet of Things
Editore: Springer Nature
Data di pubblicazione: 2020
Lingua: Inglese
ISBN 10: 3030326462
ISBN 13: 9783030326463
Rilegatura: Paperback
Condizione: Brand New

Descrizione articolo

Riassunto

This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.

Dalla quarta di copertina

This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.