Description:
AI is no longer just a cloud service — it’s becoming a first‑class capability of the device itself. In this interactive workshop, we’ll explore how Surface AI PCs unlock new possibilities by combining on‑device NPUs, Windows, and cloud‑connected AI services.
Attendees will learn how local AI processing can improve performance, privacy, battery life, and resilience, while enabling new experiences for students, faculty, and staff. We’ll walk through real‑world higher education scenarios such as intelligent note‑taking, accessibility enhancements, image and content creation, and offline‑capable AI workflows — all running directly on Surface devices.
This session is designed to help IT teams envision what’s possible, understand where AI belongs on the endpoint versus the cloud, and start thinking strategically about device refresh cycles in an AI‑first world.
About this event:
Presenters:
- Neil Misak, Microsoft Surface Engineering – AI Solutions Architect, Microsoft Corporation
- Jude Hanno, Demo Program Marketing Manager – Microsoft Surface, Cadence3
Track:
Engage New Ways of Working — Boldly go beyond old workflows and explore new frontiers in collaboration.
Experience Needed:
All Levels
Learning Outcome:
Key Takeaways:
What makes an AI PC different — and why NPUs matter for IT
When AI should run locally vs. in the cloud
Higher‑ed use cases that benefit from on‑device AI
Practical considerations for security, manageability, and readiness
Additional Keywords:
AI, Microsoft, Surface, NPU, CoPilot+, AI on the edge, Future of Work, AI Ready, Next Gen Devices, Campus IT, EdTech