Visualizing predicted customer bandwidth utilization based on utilization history

A system for providing a predicting bandwidth utilization for a customer of a connectivity service provider, the system comprising:

• a utilization database;
• a data collector configured to receive bandwidth utilization data from a router within the connectivity service provider and store the received bandwidth utilization data on the utilization database;
• and
• a machine learning server comprising:
• a data access module configured to retrieve bandwidth utilization data from the utilization database and the data collector,
• a machine learning module configured to train a machine learning model for the bandwidth utilization data during a time period based on the received data, wherein the training the machine learning model comprises determining a value for a parameter, and wherein the bandwidth utilization is substantially periodic over the time period, and
• a prediction module configured to predict, using the trained model, future bandwidth utilization over time.

A program storage device tangibly embodying a program of instructions executable by at least one machine to perform a method for providing a predicting bandwidth utilization for a customer of a connectivity service provider, the method comprising:

• receiving bandwidth utilization data representing a customer's bandwidth utilization;
• training a machine learning model for the bandwidth utilization data during a time period based on the received data, wherein the training the machine learning model comprises determining a value for a parameter, and wherein the bandwidth utilization is substantially periodic over the time period;
• and
• predicting, using the trained model, future bandwidth utilization over time.