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September 28, 2018 | PRNewswireEstimated reading time: 1 minute
Artificial intelligence (AI) is rapidly making its way into many advanced solutions including autonomous vehicles, smart bots, advanced predictive analytics, and more. Many industry verticals will be transformed through AI integration with enterprise, industrial, and consumer product and service ecosystems. It is destined to become an integral component of business operations including supply chains, sales and marketing processes, product and service delivery and support models. AIoT (AI support of IoT) is just beginning to become part of the ICT lexicon as the possibilities for the former adding value to the latter are only limited by the imagination.
AI enhances the ability for Big Data Analytics and IoT platforms to provide value to each of these market segments. The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks. Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service.
This research provides a multi-dimensional view into the AI market including analysis of embedded devices and components, embedded software, and AI platforms. This includes an assessment of the combined AI marketplace with analysis of embedded IoT and non-IoT devices, embedded components (including AI chipsets), embedded software and AI platforms, and related services. It also evaluates leading solution providers including hardware, software, integrated platforms, and services. It also evaluates the market for AI in IoT networks and systems.
This research also assesses the impact of AI in various networking products and solutions including embedded equipment, components, and software platforms (network automation, optimization, and transformation). The report also evaluates the role of SDN, Edge Computing, NFV, and Augmented Intelligence in the formation and support of AI driven networking ecosystems. In addition, the impact of 5G networks, IoT technology and systems, and network analytics functions is also evaluated.
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