If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

For healthcare data strategy projects, there are four essential elements to turn aspiration into a plan for recurring ...

If your company's product data isn't accessible to AI shopping agents, you'll effectively be shut out of this growing channel ...

In an AI-first architecture, intelligence isn’t a feature. It’s part of the plumbing. Data moves in ways that support long-running decisions. Schemas evolve. Agents need context that lasts longer than ...

Data Architects design systems for enterprise database systems and set standards for operations, programming, and security. They integrate new systems with existing warehouse structure and refine ...

Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.

Here’s a look back at the top Nvidia storeis of 2025. Nvidia CEO Jensen Huang popularized the concept of the AI factory — or ...

What will shape enterprise data in 2026? We look at insights from Bloomberg’s Enterprise Data & Tech Summit in London on ...

We’ve celebrated an extraordinary breakthrough while largely postponing the harder question of whether the architecture we’re scaling can sustain the use cases promised.

Enterprise voice AI has fractured into three architectural paths. The choice you make now will determine whether your agents ...