Request a demo to learn how RAPTR can enable on-orbit decisions at the strategic to tactical levels with speed, agility, and accuracy, and help you become more operationally responsive to emerging threats.
LMI’s digital solution connects facility data with systems for a holistic lifecycle asset management approach with realistic work plans, highlighting deferred maintenance and incorporating energy and sustainability initiatives.
LMI and the UVA School of Data Science are seeking innovative, impactful, and attainable solutions that use artificial intelligence (AI) and/or machine learning (ML) to address a health equity issue.
Get answers to frequently asked questions about the challenge.
Competitor submissions will be evaluated across four objective areas: innovation, feasibility, impact, and AI adoption.
Learn the terms and conditions for participation in the data entrepreneurship challenge, including eligibility, submission, prize payment, and intellectual property.
LMI and the University of Virginia (UVA) School of Data Science have teamed up to bring an entrepreneurship competition to Grounds. This challenge calls on innovators to spur progress around health equity solutions through the design of artificial intelligence (AI) to drive insights that are coupled with adoption strategies.
Cash prizes include $500 for first place, $300 for second place, and $150 for third place.
Review resources to help you get started, including topic inspiration, data resources, potential solutions, additional background reading, and team forming support.
Join us on Thursday, February 6th, 2025, at LMI’s symposium, Contested Logistics – Data-Driven Agility for Logistics Decision Advantage.
