Estimated reading time: approx. 3 minutes 30 secondsWhen researching AI, you often see the terms "machine learning" and "deep ...

One of the challenges with existing fraud detection systems is that they are primarily rules-based, using predefined notions of what constitutes fraudulent or suspicious behavior. The problem is that ...

AI, machine learning, and deep learning. You see these terms repeatedly in introductory materials, yet you might stumble when ...

Researchers used hierarchical agglomerative clustering to sort the Veterans Health Administration's eighteen regions into ...

It's a commonplace of artificial intelligence to say that machine learning, which depends on vast amounts of data, functions by finding patterns in data. The phrase, "finding patterns in data," in ...

Overview:  Fraud detection technologies use AI, machine learning and transaction monitoring to identify potentially ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Having developed many end-to-end machine learning (ML) and artificial intelligence (AI) systems as an AI scientist, AI product owner or chief scientist, I’ve seen how software engineering managers ...