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(Ebook) Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence: 35th International Conference on Industrial Engineering, IEA/AIE 2022 by Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Yinglin Wang, (eds) ISBN 9783031085291, 3031085299

  • SKU: EBN-45333692
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Instant download (eBook) Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence: 35th International Conference on Industrial Engineering, IEA/AIE 2022 after payment.
Authors:Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Yinglin Wang, (eds)
Pages:957 pages.
Year:2022
Editon:1st ed. 2022
Publisher:Springer
Language:english
File Size:68.92 MB
Format:pdf
ISBNS:9783031085291, 3031085299
Categories: Ebooks

Product desciption

(Ebook) Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence: 35th International Conference on Industrial Engineering, IEA/AIE 2022 by Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Yinglin Wang, (eds) ISBN 9783031085291, 3031085299

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.
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