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Intel and telcos left in virtual RAN limbo by rise of AI RAN
A multitude of general-purpose and specialist silicon options now confronts the world's 5G community, while Intel's future in telecom remains uncertain.
In this session, we will look at the most promising use cases for AI, ML, deep learning and automation, the challenges they present and the lessons that are being learned.
December 15, 2022
Date: Dec 15, 2022
Duration: 1 Hr
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Aiming to take advantage of the vast quantities of customer data they collect, cable operators are increasingly adopting artificial intelligence (AI), machine learning (ML), deep learning and network automation to improve service delivery, cut operating costs and gain greater insights into their customers. So far, for instance, operators are applying these technologies and techniques to plan their fiber-optic nodes better, run their HFC networks more efficiently and target their video content and ads to customers more effectively.
In this session, we will look at the most promising use cases for AI, ML, deep learning and automation, the challenges they present and the lessons that are being learned.
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