ALEC Evolution (Machine Learning based detection of Network Situations)

I am the new Product Manager for our ALEC (Architecture for Learning Enabled Correlation). The product uses Machine Learning to correlate alarms that belong to the same management situation. This helps our users tackle a network problem in a holistic way, thus reducing the time to resolution.

My objective is to reach out to current and future users of ALEC to gather feedback on some new ideas on both, the user workflow and the engine used to identify situations. Please drop me a note if you want to help us with this project or if you have any general questions or feedback.