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