During times of inflation, volatile supply chains, labor shortages, and increased environmental concerns, manufacturers are witnessing industry-wide change. To get ahead of these challenges, manufacturers (and other leading industries) must expand revenue streams, reduce operating costs, evolve strategic capabilities, and analyze risks. Anomaly detection is a critical step … [Read more...] about How anomaly detection can save your manufacturing company time and money
Anomaly detection
Top 10 methods for outlier detection
Mathematically, any observation far removed from the mass of data is classified as an outlier. In practice, outliers could come from incorrect or inefficient data gathering, industrial machine malfunctions, fraudulent retail transactions, and the like. It becomes essential to detect and isolate outliers to apply the corrective treatment. You can use Spotfire to smartly identify … [Read more...] about Top 10 methods for outlier detection
7 questions on how to use machine learning for anomaly detection
Asking questions is one of the best ways to learn. But sometimes you don’t know where to start or what to ask—especially on a topic like anomaly detection that you’re still becoming familiar with. In that case, it’s best to listen to the questions of others and let their line of thinking guide your learning. Below are some questions we received during our “Ask Me Anything: … [Read more...] about 7 questions on how to use machine learning for anomaly detection