Data & Analytics
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Innovation at the Pace of Need™Evaluate Inventory and Financial Impacts Before Making Changes
FINISIM™ is a discrete event simulation that provides rapid analyses of complex, large-scale inventory and financial systems and the interaction between them, tracking supply-chain–related financial metrics.
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Our TeamKim Barnette, PhD
Kim Barnette is the program manager for LMI’s team at NASA, implementing diversity, equity, inclusion, and accessibility (DEIA) initiatives within their Science Mission Directorate.
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InsightsThe Evolving National Security Landscape
The U.S. national security establishment has produced several documents outlining the mounting risks from global climate change and environmental degradation.
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InsightsEnterprise Maintenance and Operations Support for WIC Program
LMI's Les Milner has over 30 years of experience working in information technology while supporting the WIC program alongside over 40 state agencies, Indian Tribal Organizations (ITO), and territories on multiple contracts.
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InsightsImplementing 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.
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Culture NewsEmployee Spotlight: Meet Joe Norton
As chief technology officer, Joe nurtures innovation through organizational culture and structure while allowing LMI to deliver scalable, repeatable, and robust solutions to our customers.
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What We DoHealthcare Compliance
LMI’s compliance approach centers on reducing programmatic risks while minimizing participants’ burden through data analytics and proactive engagement and education.
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Innovation at the Pace of Need™LMI Workshop Examines Data Ethics for Government
How can organizations ensure artificial intelligence and machine learning (AI/ML) techniques are free from human biases?
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InsightsHow Value-Based Care Can Improve for Patients, Providers and Payers Post COVID-19
The federal government has focused on value-based care to increase efficiency in healthcare. Here’s what we must do to ensure the model’s success.