As enterprise AI adoption accelerates, many organizations are running into an unexpected problem: cost. In this episode of DEMO, CIO.com’s Jeff Miller speaks with Corey Timmons, director of channel marketing at Qualcomm, about why enterprises may need to rethink how and where AI workloads run.
Listen in as Jeff and Corey explore the growing concerns around token consumption, infrastructure scaling, battery life, privacy, and AI security. They’ll also demonstrate how on-device AI powered by Snapdragon NPUs can run large language models locally without relying on constant cloud access. Corey will demonstrate Anything LLM running entirely offline on a Lenovo ThinkPad T14s powered by Snapdragon, showing how enterprises can use local AI models for document analysis, meeting transcription, and confidential workflows without exposing sensitive data to the cloud. This episode is sponsored by Qualcomm.
Watch the video here.