Organizations continue to increase investments in AI, analytics, and automation, yet many fail to translate these initiatives into measurable outcomes due to gaps in their underlying data operating ...

Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise ...

Building a data-driven pricing framework begins with integration. Finance, product, and engineering teams must align around a ...

In the months since that launch, Liquid has expanded LFM2 into a broader product line — adding task-and-domain-specialized ...

The institutions winning today aren't winning because they have smarter traders or better customer service. They're winning because they've solved a fundamental architecture problem: how to turn ...

The Chinese video game giant Tencent is now building some of the world’s best 3D AI models. This could have implications far ...

Today’s struggle is for AI sovereignty: the right of a people to own their data, build their models, and determine how intelligence — the true engine of modern power — is created, applied, and ...

Engineers can now see multiple feasible designs, understand trade-offs, and make decisions with confidence, all without ...

Today, Arcee AI announced the release of Trinity Mini and Trinity Nano Preview, the first two models in its new “Trinity” ...

A decade in product development taught me that strong products don't come from UI or features. It's the data model underneath ...

Energy is the largest operational expense for terrestrial data centers, often accounting for 40% to 60% of annual costs. Hyperscale facilities can spend $5 to 10 million per year on electricity alone.