The ability to deliver inference anywhere is essential for successfully using AI across the organization. A recent Evans Data study found 1.4X more inference demand is projected outside data centers vs. in. As a result, AI strategies based on a hybrid (cloud and edge) infrastructure strategy will be the preferred approach.
Enterprises that don't use data ethically have a lot to lose. To maintain their businesses' trustworthiness and value, executives...
By combining natural language code generation with enterprise-grade security and governance, the vendor aims to help customers ...
CIO Sean McCormack explains how he balances strategy, vendors and frontline engagement -- and why his to-do list lives on his ...
In this Q&A, Wendy Lynch, founder of Analytic Translator, discusses how CIOs need to close a leadership gap to overcome the huge ...
Resulting from the $1B acquisition of Neon, the database built for AI workloads -- including separate compute and storage -- is ...
The vendor's latest platform update aims to speed, simplify and better govern workloads to help customers build a trusted ...
Across ERP, HR software and mobile platforms, governance decisions are being set earlier, often before organizations realize ...
Aligning data lakehouses with those of ERP vendors and data partners is important, but it won't be enough without silo-busting ...