Machine Learning Opens Door to Optimization, Automation for MSOs
As more and more data is collected from networks, the introduction of machine learning can help MSOs optimize and automate their network responses, speakers told attendees at SCTE’s Cable Tec Expo on Monday. According to Applied Broadband CEO Jason Schnitzer, the implementation of machine learning algorithms can help operators better optimize their services by separating populations into similar groups. For example, Schnitzer said an algorithm known as K-Means – which is used in a large number of applications on the Internet today – can take large sets of data from large communities and sort out those sub-communities that are more closely related to one another. For operators using DOCSIS 3.1, this means the chance to assign those user clusters profiles that are a better best fit in terms of bit…
Link to Full Article: Machine Learning Opens Door to Optimization, Automation for MSOs
Sharing
