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A.D.A.M: A Multi-class Intent Classification Case Study

                                                                                                  Photo by Daniel Seßler on Unsplash                                                                                          Objective Select a suitable algorithm for performing multi-class intent classification within A.D.A.M Simplicity over Complexity While strategically designing A.D.A.M - (Adaptive Datacenter and Mig...

ADAM - AI voice-controlled virtual assistant

  A.D.A.M – A daptive D ata Center a nd M igration Assistant A Solution to a Real-World Problem Description of the problem: According to the Ponemon Institute Research report, in 2016, the average cost of a data center outage was $740,357. What’s more, is that research indicates that 93% of businesses who have suffered an outage for more than 10 days, filed for bankruptcy in a year within the event.   As we know, Data Center problems and outages can range from hardware, software, change, incident, network connections, configuration, service provider etc., and can cost millions to resolve.    Solution to help make troubleshooting easier: ADAM -   is a voice-controlled virtual assistant that can help troubleshoot your Data Center in normal day-to-day operations and during migration windows.    How? Adam uses several AI techniques in the back-end. One technique is a neuro-symbolic approach to troublesho...