Your Lab Already Has the AI Power—Here’s How to Unlock It

Tuesday, July 28
11:00 – 11:20 a.m.
Exhibit Hall Theater 2
Presented by Intel & Dedicated Computing

Overview

Clinical laboratories are being asked to deliver higher test volumes and faster turnaround times, often without new capital investment or added infrastructure complexity. What if much of the AI capability needed to meet that demand is already sitting inside today’s lab systems?

In this session, we explore how existing Intel-based platforms can unlock hidden compute using CPUs and integrated GPUs to run AI workloads locally and in real time. We will demonstrate how computer vision models, LLMs, and retrieval-augmented generation (RAG) can execute securely at the edge without discrete accelerators or cloud connectivity, improving latency, reliability, privacy, and total cost of ownership.

We will also show how these capabilities extend to multimodal diagnostic workflows combining imaging, lab data, and clinical context.

Looking ahead, next-generation platforms like Intel Core Ultra Series with integrated NPUs enable smarter workload orchestration across CPU, GPU, and NPU, unlocking a path toward autonomous lab automation.

Speakers

David Galus
Product Marketing Director
Dedicated Computing

Beenish Zia
Chief Architect, Medical Imaging & Lab Tools
Intel Corporation