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UID:10000333-1736859600-1737644400@www.nafa.org
SUMMARY:Risk Management Certification Program 2025
DESCRIPTION:Dates and times:  \nJanuary 14: 1:00-3:00pm ET (Patti Early and Tim Coxwell) \nJanuary 16: 1:00-3:00pm ET (Beth Cooley and Tim Coxwell) \nJanuary 21: 1:00-3:00pm ET (Adam Seifert and Kathy Wellik) \nJanuary 23: 1:00-3:00pm ET (Beth Cooley and Kathy Wellik) \nRisk Management is a form of planning and decision-making dealing with uncertain events as well as controlling risks before they become a problem. While insurance is commonly associated with risk management\, it is not possible or practical to insure against every situation; hence\, risk management provides additional strategies for dealing with loss.  \nThrough four live virtual sessions\, participants will be able to engage in instructor-led lessons\, questions and answers sessions\, and have access to a knowledgeable expert. Upon conclusion of the four-part course\, participants will gain access to the Risk Management Certificate program exam\, a 50-question multiple choice test that can be taken anytime\, anywhere (system requirements apply). Those who successfully pass the exam (one year from date of purchase) will be awarded a professional certificate.  \nThis course will over the discipline’s competencies including: \n– Fundamentals of Risk Management \n– Insurance \n– Fleet Safety Policies \n– Fleet Safety Programs \n– Crash Management \nCourse inclusions: NAFA’s Risk Management e-Guidebook\, Risk Management Study Guide\, (4) 2-hour live sessions\, (1) Online Risk Management Certificate exam\, and a Professional Certificate – upon successfully passing of exam (optional) \n		\n			\n				Register
URL:https://www.nafa.org/event/risk-management-certification-program-2025/
CATEGORIES:Certificate/Certification
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LAST-MODIFIED:20250424T203503Z
UID:10000350-1737626400-1737637200@www.nafa.org
SUMMARY:NAFA Old Dominion January Fleet Meeting and Lunch
DESCRIPTION: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. \n\n\nThis event is presented by Intangles: \n\nRobert Schofield – Director\, Business Development \nAlan McMillan – President\, Americas \nSankalp Rajpurkar – Global Head of Major Accounts         \n\n\nWhen: January 23 starting at 10 a.m. to approximately 1 p.m. \nWhere: Chesterfield County’s Fleet Services conference Room\, 9600 Lori Lane\, Chesterfield\, VA 23832 \nRegistration: There is no fee to attend\, but registration is required. \nRegistration Deadline: January 16 by 5 p.m. ET.\n\n\n \nAgenda \n\n10 to 10:45 a.m. – Networking\n10: 45 am to noon:\n \n\nWhat is Predictive AI and why is it superior to current methods \nHow it functions and is utilized vs current preventative maintenance programs \nExamples of the engine systems currently being monitored (Demo)\n	Dynamic Decision tree to guide technicians \nIncredible accuracy with a validation process \nWhat are expected ROI’s (SaaS model allows for Op Ex vs Cap Ex) \nQ & A  \n\n\nNoon to 1 p.m. – Lunch (provided by Intangles) \n\nAbout Intangles:\nIntangles 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. \n		\n			\n				Register
URL:https://www.nafa.org/event/nafa-old-dominion-january-fleet-meeting-and-lunch/
CATEGORIES:Chapter
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