As mentioned in the NQI post, data is extremely important for HFC networks. In this post, we will be taking a look at a very interesting paper published in one of the top high impact journals in CS, …

Since a large set of posts on this blog deal with Machine Learning, I decided to write up a cursory look on the Machine Learning (ML) field. ML is the process of training a model using a training dataset and an optimiziation algorithm such that a certain task is fulfilled.

A tsunami of data is already on its way to CPE engineering, driven by unprecedented demands on customer service quality management. Similar waves have already transformed sectors like retail, financial services, marketing and advertising, and media. The world is never going back.

Data analytics, machine learning and artificial intelligence are already the buzzwords of a revolution. Everything is AI now - every large company has a data analytics strategy, every start-up has ‘AI built-in’ if it seeks funding. The AI revolution has visibility and priority at Board and CEO level, so funding and resources for innovation is plentiful.

An integral part of FBC impairments detection is channel detection. For instance, the adjacency impairment looks at neighboring channels when deciding for an impairment.

Imagine what the head of a customer-facing or service-quality-driven business function might be able to do if they had access to a detailed picture of every individual customer’s service quality experience…

Imagine what the head of a customer-facing or service-quality-driven business function might be able to do if…

Customers already expect their telco to be fully informed about their service and situation and are becoming used to increasingly personalized responses to issues and enquiries.

Legacy provisioning applications, such as early Auto Configuration Servers (ACS), can lead to support overhead, dead-end roadmaps and limited feature and upgrade options under certain circumstances.