Datacenter Dynamics: Fixing AI's accuracy problem: the strategic case for small language models

Byline written by Chris Bennett (AI)

Chris Bennett, vice president of AI & Machine Learning (ML) Practice at Unisys, explores how small language models (SLMs) address AI’s accuracy gap. SLMs deliver domain-specific precision, faster inference times, and lower operational overhead, enabling compliant, cost-efficient, and agile AI deployment across industries demanding trust, speed, and reliability.