QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

A new generation of decentralized AI networks is moving from theory to production. These networks connect GPUs of all kinds ...

Learn how sportsbooks set odds. We break down odds compilation engines, from raw data ingestion and probability models to ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

Nutshell reports that startups must choose CRMs based on growth stages, ensuring alignment with current needs and planning ...

Enterprise security faces a watershed as AI tools mature from passive analytics to autonomous operatives in both offense and defense. To date, traditional ...

With no-code workflows and streamlined data pipelines, Unity aims to simplify how firms build, share, and scale interactive ...

Factify’s solution is to treat documents not as static files, but as intelligent infrastructure. In the "Factified" standard, ...

Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

ZoomInfo reports a growing demand for GTM engineers, pivotal in automating revenue operations, with competitive salaries and high impact across sales and marketing.