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.
AI slopification in business processes creates a costly debt cycle of rework, damaged customer trust and lost productivity that ...
Tech conferences are a vital way for CIOs and IT leaders to keep abreast of trends and make real-life connections in a ...
Data mesh can improve data access for AI initiatives by decentralizing ownership and governance, but it doesn't solve every data ...
Bulk data migration pushes out AI timelines. Data leaders should invert the process: classify and catalog first, then move only ...