Recent Trends and Advances in Artificial Intelligence and Internet of Things,...

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Item Weight: 39.6 Oz Subject Area: Computers, Technology & Engineering, Science Format: Hardcover width: 6.1 in Publication Year: 2019 Series: Intelligent Systems Reference Library Publication Name: Recent Trends and Advances in Artificial Intelligence and Internet of Things Item Length: 9.3 in Publisher: Springer International Publishing A&G Type: Textbook Item Width: 6.1 in Subject: Engineering (General), Intelligence (Ai) & Semantics, General, Electronics / General Language: English Author: Raghvendra Kumar Number of Pages: Xxxiv, 607 Pages ISBN: 9783030326432 Book Title: Recent Trends and Advances in Artificial Intelligence and Interne

Description

Recent Trends and Advances in Artificial Intelligence and Internet of Things,.... Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. Recent Trends and Advances in Artificial Intelligence and Internet of Things, Hardcover by Balas, Valentina E. (EDT); Kumar, Raghvendra (EDT); Srivastava, Rajshree (EDT), ISBN 3030326438, ISBN-13 9783030326432, Brand New, Free shipping in the US 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.