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

Information technology architecture is where abstractions become real. Modern enterprises are increasingly moving toward ...

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 ...

Today, Arcee AI announced the release of Trinity Mini and Trinity Nano Preview, the first two models in its new “Trinity” family—an open-weight MoE model suite fully trained in the United States.

The flaw, dubbed ‘GeminiJack,’ exploits the trust boundary between user-controlled content in data sources and the AI model’s ...

This creates a dangerous cycle. Product teams, under pressure to innovate, start “AI-washing” existing features or bolting on ...

Zeplyn unveils Agent Nexus agentic AI platform enabling wealth advisors to query CRM data and documents for deeper client ...

Want AI that’s both fast and planet-friendly? This guide shows how leaders can bake sustainability into every layer and save energy, money and sanity.

Data and knowledge do not, anymore, exist as separate components. They are rapidly merging into a single architecture. As KM'ers, we can no longer leave data management solely up to the admins. Rather ...

Clients are facing ‘PoC fatigue’, as success rates of PoC to AI still remains 17-20 per cent, Avinash Joshi, MD, India, NTT DATA tells Moneycontrol ...

AI is saving people thousands by replacing costly software and automating tasks that reduce everyday expenses.

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 ...