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

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

Data engineering is the process that makes it usable. It involves moving, cleaning, and organizing. This creates the foundation for BI and analytics. The goal is to replace guesswork with facts. That ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...

Hut 8 Corp. (HUT) unveiled its own partnership with Anthropic (ANTH.PVT) and Fluidstack to build an AI data center in ...

Context engineering is reshaping modern AI by grounding systems in relevant data and enabling more accurate, trustworthy agentic applications.

Tequity, a leading North American M&A advisory firm specializing in global Enterprise B2B SaaS products, services, and AI/Data-oriented company transactions, acted as the exclusive financial advisor ...

A recent special report article series provides insights on considerations for future-proofing high-density AI data centers.

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and ...

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