One downside of enterprise AI is that many systems still function as a black box — they produce results but offer little visibility into how they reached them. NetSuite is designing its systems around ...

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

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

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 ...

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

Distributed ledger technology supports faster processing, enhanced auditability, and improved data integrity for alternative investment participants.

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

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

Using patented purification methods and a community-first growth strategy, the Root Brands is redefining what it means to ...