NAFA Old Dominion January Fleet Meeting and Lunch
January 23, 2025 @ 10:00 am - 1:00 pm
Join your NAFA Old Dominion LNG colleagues to learn more about advanced predictive fleet maintenance utilizing predictive AI with machine learning and digital twin technology. This event is free of charge to attend, but registration is required.
This event is presented by Intangles:
- Robert Schofield – Director, Business Development
- Alan McMillan – President, Americas
- Sankalp Rajpurkar – Global Head of Major Accounts
When: January 23 starting at 10 a.m. to approximately 1 p.m.
Where: Chesterfield County’s Fleet Services conference Room, 9600 Lori Lane, Chesterfield, VA 23832
Registration: There is no fee to attend, but registration is required.
Registration Deadline: January 16 by 5 p.m. ET.
Agenda
10 to 10:45 a.m. – Networking
10: 45 am to noon:
- What is Predictive AI and why is it superior to current methods
- How it functions and is utilized vs current preventative maintenance programs
- Examples of the engine systems currently being monitored (Demo)
- Dynamic Decision tree to guide technicians
- Incredible accuracy with a validation process
- What are expected ROI’s (SaaS model allows for Op Ex vs Cap Ex)
- Q & A
Noon to 1 p.m. – Lunch (provided by Intangles)
About Intangles:
Intangles was founded in 2016 as an AI company focused on solving the problem of vehicle breakdowns and predicting failures BEFORE DTC codes trigger. They have over 3,000 vehicles combinations, Intangles’ platform is agnostic to engine type, equipment body, fuel, and age (as long as vehicle has data output). With an accuracy of over 95% on issue discovery and over 98% of the cause of those discoveries with our Predictive AI, Intangles is the market leader in identifying failures before they occur. Additionally, they have a one-of-a-kind fuel patent granted in January 2023 that is 99% accurate at determining fuel usage on all types of vehicles by measuring fuel at the injection level and not by the demand requested by the ECU. This is more accurate than OEM.