One key part of Microsoft’s big bet on machine learning is that these technologies need to be democratized, turned into relatively simple-to-understand building blocks that Microsoft’s developer ...

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 ...

When a person drives, there are many things that are quickly noticed and then ignored. What gains attention are those things that might be a danger. A pedestrian who might walk out into the road, a ...

NEW YORK--(BUSINESS WIRE)--Datadog, the essential monitoring service for modern cloud environments, today announced the release of a new machine-learning based feature called Anomaly Detection. This ...

Know why ML-driven anomaly detection is crucial for preventing malicious signature requests. Learn how machine learning ...

Time-series data represents one of the most challenging data types for businesses and data scientists. The data sets are often very big, change continuously, and are time-sensitive by nature. One ...

Haiqu, a quantum software company, said it has demonstrated that today’s quantum computers could detect anomalies more ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...