Machine learning engine with optimised architecture for use in processing locally stored data in real time

A computer program product for processing data using an optimized machine learning architecture, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to:

• monitor usage data for a plurality of network devices;
• analyze the usage data using a first machine learning engine;
• determine, based on an output of the first machine learning engine, at least one data trend;
• and
• instruct a second machine learning engine to analyze local data associated with the at least one data trend, wherein the second machine learning engine is hosted on a first network device of the plurality of network devices.

A method for processing data using an optimized machine learning architecture, the method comprising:

• monitoring usage data for a plurality of network devices;
• analyzing the usage data using a first machine learning engine;
• determining, based on an output of the first machine learning engine, at least one data trend;
• and
• instructing a second machine learning engine to analyze local data associated with the at least one data trend, wherein the second machine learning engine is hosted on a first network device of the plurality of network devices.