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 ...
Electronic Design

Explainable AI for Anomaly Detection

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...
insideHPC

Anomaly Detection: Its Real-Life Uses and the Latest Advances

Anomaly detection in the context of data science is detecting a data sample that is out of the ordinary and does not fit into the general data pattern (or an outlier). This deviation can result from a ...
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 ...
Diginomica

IFS acquires Falkonry AI to make it easier to find anomalies on the shop floor and beyond

We caught up with Christian Pedersen, Chief Product Officer at IFS, to find out more about its acquisition of AI-based anomaly detection startup Falkonry AI and the potential use cases for its ...
insideHPC

Blue Coat Systems and Prelert Partner to Provide Anomaly Detection in Security Solutions

Prelert, a leading provider of machine learning anomaly detection, and Blue Coat Systems, Inc., a market leader in enterprise security, announced a partnership to integrate Prelert’s machine learning ...