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.

The Rise of Context Engines “By 2026, as AI agents become deeply embedded in software and business systems, their biggest bottleneck won’t be reasoning—it will ...

As DPDP enforcement nears, Hitachi Vantara’s Sanjay Agrawal explains why Indian enterprises must rethink data infrastructure ...

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

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

Peter Huang, Global President - Data Center & Thermal Management at bp Castrol, explains why AI isn't just consuming more ...

For decades, distributors relied on systems that were built for stability, not speed. Legacy ERPs, custom spreadsheets, and disconnected sales tools worked well enough when markets were predictable ...

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

Software engineer behind critical systems at tech giants, Avinash Kumar, reveals architectural breakthroughs that handle ...

Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...