AI on the Edge
Some AI decisions need to happen where the data is created. The architecture has to account for devices, models, telemetry, and observation close to where the signal starts. In "AI on the Edge", Jared Rhodes moves from the symptom to a repeatable path for choosing, testing, shipping, and observing edge models, helping attendees see where better decisions start.
Session details
Edge AI is not a new phenomenon. This session will show how models for video, audio, and sensor data run on devices close to where data is created. The result is faster response, better privacy, and steadier cost. The cloud still matters for training and fleet insight, but the moment-to-moment work happens on the device. We’ll walk a full path from idea to production. Start with a model that fits your hardware. Trim it, test it, then measure real workloads. Deploy to what you already own or to dedicated edge gear. You leave with a playbook that you can repeat. Pick, prepare, test, ship, observe, improve. No lock-in. No mystery. Just a clear way to move intelligence out of the data center and into the real world.
Primary action
Share the public session page with the tracked partner link, then use the copy variants below for LinkedIn, short social posts, and newsletter or email mentions.
Agenda facts
- Format
- Talk / Presentation
- Kind
- Conference Session
- Topic
- Embedded, Edge, and Real-Time Systems
- Level
- Intermediate
- Time
- Oct 30, 2026, 1:15 PM
- Room
- Room D
- Duration
- 60 min
Speakers
Link partners to speaker kits when available, or to the public speaker profile on mitechcon.net.
Jared Rhodes
Copy to paste
LinkedIn, short social, and newsletter or email copy variants for this session.
LinkedIn
Session LinkedIn Post
Some AI decisions need to happen where the data is created. The architecture has to account for devices, models, telemetry, and observation close to where the signal starts. In "AI on the Edge", Jared Rhodes moves from the symptom to a repeatable path for choosing, testing, shipping, and observing edge models, helping attendees see where better decisions start. 📅 October 28–30, 2026 📍 Oakland University, Rochester, MI 🔗 https://www.mitechcon.net/sessions/ai-on-the-edge/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-ai-on-the-edge #MITechCon #EdgeAI #EdgeComputing #MLOps
Short social
Short Session Post
Some AI decisions need to happen where the data is created. Learn a repeatable path for choosing, testing, shipping, and observing edge models. https://www.mitechcon.net/sessions/ai-on-the-edge/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-ai-on-the-edge #MITechCon #EdgeAI
Newsletter / email
Newsletter Or Email Blurb
Feature this MITechCon 2026 session in your newsletter or email: "AI on the Edge". Some AI decisions need to happen where the data is created. The architecture has to account for devices, models, telemetry, and observation close to where the signal starts. In "AI on the Edge", Jared Rhodes moves from the symptom to a repeatable path for choosing, testing, shipping, and observing edge models, helping attendees see where better decisions start. Format: Conference Session. Topic: Embedded, Edge, and Real-Time Systems. Level: Intermediate. Scheduled for Oct 30, 2026, 1:15 PM in Room D. Learn more and share the session: https://www.mitechcon.net/sessions/ai-on-the-edge/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-ai-on-the-edge