Machine learning transforms Order-to-Cash workflows by automating tasks, predicting payment risks, and improving efficiency, ...

1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

Traditional AI models learn from structured data and are optimized for outcomes like classification, forecasting or ...

With a data-driven approach using BlackRock’s Aladdin software and insights from human fund managers, Jio BlackRock CEO Sid ...

Researchers in the University of York's Department of Sociology will lead one of the first large-scale, systematic social ...

Traditional data centers can’t keep pace with the demands of modern AI. From GPUs and liquid cooling to specialized storage, ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even ...

AI-driven insights help businesses make smarter, faster decisions. By analyzing large amounts of data, AI identifies trends ...

The system is designed to dismantle batteries in two phases—from battery pack to module and from module to cell level.

Global Data & AI Virtual Tech Conference (GDAI 2025), the biggest virtual tech conference organized by DataGlobal Hub, was ...