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From service vehicles to set-top boxes to cable modems to cables and connectors and other gear, cable operators face huge challenges in managing all their hard assets in an energy-efficient manner. But, in a charge led by SCTE, CableLabs and several major MSOs, operators are now making real strides. What steps are cablecos taking to make their fleets and equipment more sustainable? Where have they made the most progress so far? What hurdles still remain?
In this webinar, we will tackle these questions and more as we look at how the industry is pursuing greener networks to slash energy consumption, reduce its carbon footprint and build a more sustainable future.
New-york
United-states
Alan-breznick
Genuine-article
Communications-daily
Heavy-reading
Light-reading-cable-website
Cable-industry
Kinetic-strategies
One-touch
Cable-world
Multichannel-news
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.
New-york
United-states
Alan-breznick
Genuine-article
Communications-daily
Heavy-reading
Light-reading-cable-website
Cable-industry
Kinetic-strategies
One-touch
Cable-world
Multichannel-news
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