A Look Behind Using Machine Learning For Anomaly Detection

By Katie Deheer, MS, MBA, Trinnex

There is a lot of buzz and hype around machine learning and artificial intelligence (AI). While machine learning and AI can be powerful tools to solve practical business challenges, these kinds of techniques are not a silver bullet.  

When attempting to tackle a data challenge with machine learning or AI, a couple of guiding principles can help: The simplest solution is usually the best, as long as it solves the problem. Every data problem is unique in nature and requires a creative approach.  

For certain cases, the best solution might be a blend of simple logic, statistical methods, and machine learning or AI. Here’s a closer look at how Trinnex puts these principles into practice when using machine learning for anomaly detection.