Covering Scientific & Technical AI | Monday, December 23, 2024

Fighting Financial Cybercrime: A Big Memory, Graph Analytics Strategy

Systems in the financial services industry generate multiple terabytes of data a day, a staggering volume to process in search of cyberthreats. Trovares, a high performance "property graph" analytics ...Full Article

ML Education: How Pearson Abstracted Away Rookie AI Headaches

In organizations that successfully embrace AI, going on gut feel is going the way of the dodo. So is the phrase: “because that’s the way we’ve always done it.” ...Full Article

Accelerating AI: Enterprise Simplification and Deployment on the Horizon

Business use of AI grew 270 percent over the past four years, according to Gartner, while Deloitte says 62 percent of respondents to its corporate October 2018 report deployed ...Full Article

AI Turns up the Heat in the Data Center

Sometimes, the laws of physics can be so annoying, and AI is a case in point. There is a theoretical, experimentally verified upper limit on how many computations can ...Full Article

Advanced Technology on Wall Street – Rumors from the Trade Show Floor

New York is always an exciting, energetic city to visit and ... was made even more so as I attended the (recent) ‘HPC & AI on Wall Street’ conference, ...Full Article

AI, ML, Deep Learning, and Active Learning: What’s the Difference?

Today, the terms artificial intelligence (AI) and machine learning (ML) are often used interchangeably. While the terms are related, they mean different things. We map out how they all ...Full Article

IBM Expands Cloud Database Services with Kubernetes

The Kubernetes operator for the CouchDB NoSQL database announced this week by IBM targets enterprise hybrid cloud deployments with a managed database service positioned as a replacement for the ...Full Article

Attacking the AI Trust Gap: ‘FICO-like’ Risk Scoring for Machine Learning Models

Implementing machine learning is a minefield and a slog. Even after IT managers put in place an accelerated computing infrastructure required for AI, after data scientists and business managers ...Full Article

Kubernetes and Containers in HPC and AI

Software containers and Kubernetes are important tools for building, deploying, running and managing modern enterprise applications at scale and delivering enterprise software faster and more reliably to the end ...Full Article

Hybrid Approach Emerges for AI Workloads

The discussion surrounding enterprise adoption of AI technologies is shifting from if to when, and what mix of IT infrastructure will be required to deploy and scale machine learning ...Full Article
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