I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

MongoDB said additional partners and offerings are expected to be added to the startup program over time.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

Seamless access to high-quality, governed data and models is now available to power and train the next generation of marketing AI use cases SAN FRANCISCO, January 06, 2026--(BUSINESS WIRE)--LiveRamp ...

Distributed database consistency models form the backbone of reliable and high-performance systems in today’s interconnected digital landscape. These models define the guarantees provided by a ...

The artificial intelligence industry is obsessed with size. Bigger algorithms. More data. Sprawling data centers that could, in a few years, consume enough electricity to power whole cities. This ...

Artificial intelligence (AI) is transforming a variety of industries, including finance, manufacturing, advertising, and healthcare. IDC predicts global spending on AI will exceed $300 billion by 2026 ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

In the ever-evolving world of sports analytics, cycling stands on the brink of a data-driven revolution. By leveraging innovative data models, inspired by diverse industries, new opportunities for ...