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

In today’s data-driven economy, agility and intelligence are no longer optional—they are the foundation of competitive ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

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

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 ...

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 ...

Channels, >2,800 Programmable Operations-Scalable to >50,000 Operations on Each Dataset Arriving Every 25 ns with Zero Data Loss at a fraction of the cost of FPGA ...

Issues related to firm management top the list of biggest business-related concerns for 2026.

India’s data protection law is pushing IT firms from policy-driven compliance to architecture-led control of shadow data.