Recent Trends and Advances in Artificial Intelligence and Internet of Things
暫譯: 人工智慧與物聯網的最新趨勢與進展
Balas, Valentina E., Kumar, Raghvendra, Srivastava, Rajshree
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商品描述
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.
商品描述(中文翻譯)
這本書涵蓋了人工智慧(AI)和物聯網(IoT)中的所有新興趨勢。物聯網是一個近年來提出的術語,用來定義能夠通過互聯網連接並傳輸數據到其他設備的裝置。雖然物聯網和感測器能夠利用大量數據,人工智慧則可以學習數據中的模式,並快速提取見解,以自動化各種業務任務。機器學習作為一種人工智慧技術,具備自動識別模式和檢測智能感測器及設備所生成數據中的異常的能力,並且在分析物聯網數據時,相較於傳統的商業智慧工具,具有顯著的優勢,包括能夠比基於閾值的監控系統提前最多20倍進行操作預測,且準確度更高。此外,其他人工智慧技術,如語音識別和計算機視覺,可以幫助從過去需要人工審查的數據中提取見解。人工智慧與物聯網技術的強大結合,有助於避免計劃外的停機時間、提高運營效率、啟用新產品和服務,以及增強風險管理。