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.

As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...

There’s always a worry that “agentic AI” means people step aside. The reality is sort of the opposite. Agents take on the ...

Agentic automation: Perhaps most significantly, conversational memory transforms AI from a transactional tool to a genuinely ...

The future of the field isn't less engineering but better engineering, where people focus on design, integrity and impact ...

The evolution of software architecture is contributing to increasing energy consumption.

Incubated for DoD & Intelligence use cases, startup announces commercial availability of enterprise AI platform, delivering ...

Real-time security clearances are becoming increasingly common in manufacturing of advanced-node semiconductors, where data sharing is both essential and a potential security threat. Data security is ...

For decades, India has used household spending—not earnings—as an input for analysis and policy formulation. Income is very ...

Artificial intelligence-driven transformation in retail means autonomous agents are moving into operations and new data and ...