Ubiquiti
Using AI with Natural Intelligence
Fall 2026  Ubiquiti Information Exchange
Monday 21st September (half-day) & Tuesday 22nd September (full-day) in southeast Michigan
– By Invitation Only –
Join our Information Exchange sessions for the best technologies in data-driven AI & analytics for vehicle services. Discuss with your peers, industry experts, and share ideas on using data & AI to improve quality, cut costs, predict issues, identify opportunities, increase efficiencies, and more. Learn hands on from users of Ubiquiti processes & technologies, and see how data is leveraged for positive, measurable, verifiable results. Our sessions will focus on practical data analytics & AI, and we invite you to participate actively. There is no cost for our invited attendees.
(Note that this information was not generated by AI)

Ubiquiti will describe existing and new technologies for data-driven AI


Also, our confirmed external presentations include:


Our agenda includes:
Data-driven analytics, ML, NLP, and generative AI primarily for automotive applications. Our team will demo Ubiquiti software with available data. (For data privacy reasons, only in-person attendees may view presentations with real data.)


· Registration ·
When
1pm - 5pm, Monday 21st September 2026
8am - 5pm, Tuesday 22nd September 2026

Where
MSU Management Education Center
Troy, Michigan
https://mec.broad.msu.edu/
REGISTER

As Before: Introductory tutorials will be presented on Ubiquiti software technologies, mainly on the first half-day. Data mining, analyzing narrative text, automated diagnostics, AI-based coding, machine learning, new data-driven technologies, and more are on our agenda. New opportunities with vehicle electrification, telematics sensor data, and more will be addressed. Real-world cases of data-driven software usage, particularly for inter-organizational negotiations, will be presented. As always, there will be opportunity to network with your professional colleagues.

Presentations will include familiar & new Ubiquiti technologies. Attendees can interact with experienced users.

Questions on the event?  Topic proposals?
Please email  team@ubiquiti.com  or call Ubiquiti at  (734) 994-3200.   We value your input!