cost-effective AI training versus inference at the edge

Part of the “Dawgen Decodes” thought-leadership series for Caribbean decision-makers From Model in the Lab to Money in the Ledger Artificial-intelligence pilots rarely fail for lack of clever algorithms; they stall because the underlying infrastructure can’t move data—and insights—fast enough. Hybrid IT fixes that by weaving on-prem micro-data-centres, regional colocation, and hyperscale cloud into one...