Machine Learning
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Press Release
LMI and Exiger to Lead DLA Pilot Program
LMI announced today that it, along with Exiger, has been awarded a contract to create a DLA pilot program to illuminate supply chain resiliency using AI/ML.
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White Paper
OpenPolicy™: Knowledge Drives the Search
LMI’s OpenPolicy™ semantic search service is a fantastically powerful way to research prose documents.
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Innovation at the Pace of Need™
Business & Digital Transformation
LMI takes customers on a tailored digital transformation journey, ranging from small digital enhancements to enterprise-wide transformations.
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Insights
Using AI To Improve Hazard Response
AI/ML acts as a force multiplier, amplifying the quality of results fed into the decision-making process, ultimately saving valuable time.
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What We Do
Baseline, Strategy & Program Support
LMI’s baseline assessment and strategy development uses rigorous analysis to identify key gaps in your current risk management approach and provides recommendations for the most impactful investments.
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Insights
Integrating IoT and Sensors To Improve Infrastructure Management Systems
When paired with AI/ML, the data provided by IoT devices and sensors offer insights on the status and condition of assets while enhancing utility, efficiency, and resiliency. Our experts weigh in on what is important to consider when implementing these technologies to improve infrastructure management.
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What We Do
Artificial Intelligence
Our approach to applied AI includes MLOps, the practice of integrating machine learning models into production environments in a streamlined and scalable way.
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Innovation at the Pace of Need™
Forge™ Technology Studio: Prototypes
Our prototypes are shaping the nation of next. From developing a wearable integrated sensor platform (WISP) that drives decision-making to shaping solutions that streamline supply chains like LogSmart™ Supply, our work at the edge of possible reimagines mission capability.
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Insights
Implementing AI in Government
LMI's Keith Rodgers outlines what agencies should keep in mind when considering implementation of AI tools and how to optimize these technologies.