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 ...
EDN

Anomaly Detection Through Machine Learning

With the vast amount of data produced by IoT devices and systems, it cannot be avoided that some of this data can get lost. In order to resolve this issue, IBM is pleased to introduce an IoT solution ...
Electricity Forum

The Role of AI and Machine Learning in Predicting Transformer Faults

AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...
Deccan Chronicle

AI Transforms Supply Chain Monitoring with Real-Time Anomaly Detection

Enterprises deploy machine learning within SAP and cloud pipelines to catch data errors instantly and boost efficiency ...
Statetechmagazine

State and Local Agencies Can Identify Cyberthreats Through Anomaly Detection

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...

Glassbox Strengthens Anomaly Detection With Acquisition of Anodot

Glassbox, a leading provider of digital experience analytics, today announced the acquisition of Anodot, a leading provider of real-time anomaly detection driven by forefront machine-learning ...
ZDNet

Machine learning and the Internet of Things

The growth of the Internet of Things (IoT) market in recent years is hard to ignore. According to Forbes, the global IoT market will grow from $157 billion to $457 billion between the year 2016 and ...