TechCrunch

Financial firms should leverage machine learning to make anomaly detection easier

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
FinanceFeeds

Crypto Forensics Companies: How Blockchain Investigations Work

Delve into the world of crypto forensics companies and blockchain investigations, exploring techniques for tracking illicit ...
Dark Reading

New Kaspersky Machine Learning for Anomaly Detection Predicts Breakdown of Production Processes

Woburn, MA – May 18, 2021 — Today Kaspersky announces that Kaspersky Machine Learning for Anomaly Detection (MLAD), designed to reveal deviations in production processes at the earliest stage, is now ...
Business Wire

INFICON Introduces SmartFDC™ Machine Learning Anomaly Detection System

EAST SYRACUSE, N.Y.--(BUSINESS WIRE)--INFICON, a leading provider of manufacturing software and hardware solutions for the semiconductor and related industries, is proud to announce the release of the ...
Dark Reading

Staying Ahead of the Bot Landscape

Akamai launched Bot Manager three years ago. Since then, the bot landscape has continued to evolve, and we've introduced a number of improvements to our bot detections to stay ahead of it. One lesson ...