Networked AI

Networked AI

We are seeing the evolution of artificial intelligence from an incremental development of compute power and programming that mimics human behavior to an autonomous learning technology that eventually accomplishes human tasks by adapting machine behavior. Examples of the difference can be seen in the early evidence of AI applications that were reserved for significant expert system projects that have now evolved to the sensibility of AI being everywhere-from digital assistants and smart devices to healthcare, manufacturing processes, government and transportation. This report presents and quantifies the Network Effect of Networked AI which dramatically increases its utility and avaialbility. Depicted are revenues acquired by product and service providers of networked artificial intelligence products and services, beginning with 2018 and forecasted from 2019 to 2024 with growth rates for 2019 to 2024. The revenue is segmented by region: Worldwide, North America, Europe, Asia Pacific and Rest of World. Within each region, the data is further segmented by type of networked AI technology, type of network, type of architecture as well as by main product segments. There is a further segmentation of the total market by 10 vertical industry sectors and a regional view of each sector.Synapse Technology Research predicts that the market for Network AI applications will grow from $12.2 billion in 2018 to $54.4 billion in 2023 at a CAGR of 30.6%. For full report details go to Synapse Technology Research.com


1. Introduction
2. Market Size & Forecasts
3. Networked AI Technologies
3.1. Natural Language Processing
3.2. Machine Learning
3.3. Deep Learning
3.4. Machine Vision
4. AI Network Types
4.1. Public Network
4.2. Private Network
4.3. Autonomous AI
4.4. Swarm Network
4.5. Other Applications
5. Architecture
5.1. AI in the cloud
5.1.1. AI at the Edge
5.1.2. Mesh Naetworking
5.1.3. Capsule Networking

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