Every year, 22 percent of eCommerce customers abandon their shopping carts due to website errors. Every year, insurance companies discharge up to 10 percent of their claims cost on fraudulent claims.

Explore how Lokeshkumar Madabathula combines Databricks, real-time anomaly detection, lakehouse architecture, and governed Agentic AI for data reliability.

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 ...

(Saudi Telecom Company) is strengthening its fraud management and revenue assurance (RAFM) capabilities by embedding ...

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

DA, a post-selection inference framework that provides valid p-values and false positive rate control for semi-supervised ...

Unsupervised machine learning (Isolation Forest) applied to synthetic IoT smart home data to detect medical emergencies like falls and night wandering. - sarvesh055/smart-home-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 ...

Launching a digital wallet today involves far more than enabling payments. As the digital wallet trends 2026 show high adoption of digital wallets, so do the challenges like increasingly sophisticated ...