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Springer Recent Trends in AI and IoT - Springer Intelligent Systems

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Description

This comprehensive guide explores emerging trends in artificial intelligence and Internet of Things technologies, examining how connected devices collect and transmit data across networks whilst AI systems identify patterns and extract actionable insights. The book analyses machine learning applications for automating business processes, detecting anomalies in datasets, and leveraging IoT sensor data at scale. Part of Springer's respected Intelligent Systems Reference Library series (volume 172), this resource covers the convergence of AI and IoT, showing how organisations can harness vast data volumes through automated pattern recognition and intelligent decision-making systems. Ideal for researchers, engineers, and technology professionals seeking current knowledge on how artificial intelligence enhances Internet of Things deployments across industries.

Key Features

Covers emerging trends in artificial intelligence and Internet of Things technologies with focus on practical applications.

Examines machine learning capabilities for automatically identifying patterns and detecting anomalies in IoT-collected data.

Explores how connected IoT devices transfer data across networks whilst AI extracts insights for business automation.

Part of Springer's Intelligent Systems Reference Library series (volume 172), ensuring academic credibility and structured knowledge.

Addresses real-world convergence of AI and IoT for organisations seeking to leverage sensor data at enterprise scale.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 November 2019
Listed Since
03 September 2019

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