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Subscribe AI & Machine Learning

Our Artificial Intelligence & Machine Learning coverage assesses and maps the value proposition offered by these technology implementations. Our research assesses the various AI and ML business models including the platform as a service, technology as a service, software licensing models, and edge device applications. We aim to provide technology implementers with insight into how these technologies are shaping new applications and business models.

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Artificial Intelligence and Machine Learning

This MD delivers a quantitative assessment of machine learning (ML) usage across numerous consumer, commercial, and industrial device markets. The assessment was informed by, and further refined by, a qualitative analysis of the technological, business, and political drivers and constraints impacting the use of artificial intelligence (AI) technologies, specifically ML.

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IBC 2017 Preview – Artificial Intelligence (AI) and Machine Learning (ML) in Media

3Q 2017

The International Broadcaster Conference runs from September 15th to 19th. One of the most significant new trends promoted at this conference will be related to the implementation of artificial intelligence (AI) and machine learning (ML) in video services. Some solutions targeted as AI or Machine Learning simply migrate from editor- or developer-coded optimization methods to neural-network trained solutions, a host of new solutions leverage video analytics to generate metadata.