AI/ML/RPA Applications

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Our data scientists and analysts help customers gain insights into their big data through data engineering, semantic modeling, predictive analytics, and data visualization.

Organizations today want to enable themselves with trusted data-driven insights for decision making. At DLH, we work in concert with our customers and other key stakeholders to make fact-based decisions. DLH has developed an integrated set of data and analytics expertise, including data engineering and business intelligence, that are required to achieve an organization’s data-driven goals. We believe that for every transformational initiative, organizations must be equipped with data throughout their enterprise to realize the maximum value of their assets and fundamentally change their business outcomes.

Areas of Expertise

  • Data Engineering

    Build a scalable, high-performance infrastructure for delivering clear business insights from raw data sources

  • Data Science

    Engage in constant interaction with data using advanced mathematics and statistical analysis to identify trends and relations

  • Data Modeling

    Develop conceptual, logical, and physical data models

  • Data Visualization

    Represent data in a visual context by making the inherent trends and patterns in the data explicit

  • Business Intelligence

    Transform data into actionable insights that inform an organization’s strategic and tactical business decisions

Artificial Intelligence and Machine Learning

DLH’s artificial intelligence/machine learning (AI/ML) capabilities offer intelligent, scalable systems that combine human knowledge and observations with machine learning and data.

We support autonomous system test planning, execution, and performance assessment, including autonomous behavior prediction. Our engineers are at the forefront of enhancing military medical research through the application of AI/ML principles and practices, supporting the research and development life cycle for AI/ML systems and devices that enable and advance semi- and fully autonomous systems. We leverage ontologies and computational knowledge models to advance programming languages that develop reasoning systems using logical techniques and strategies that integrate multiple diverse sources of information from Composite Health Care System (CHCS), Armed Forces Health Longitudinal Technology Application (AHLTA), and Cerner or other decision support systems to run on a soldier medic’s handheld end-user device.

We’re constantly enhancing future AI/ML research and development efforts with mission needs, operational outcomes, user feedback, and data. We monitor new project discoveries that could affect the existing research and literature related to performance, while supporting and creating developmental and operational test and evaluation techniques that focus on the unique challenges of robotics and autonomous devices. These ongoing efforts allow us to provide near real-time medical situational awareness to guide remote clinical specialists that ultimately get captured in patient health records for further decision making.

  • Predictive Analytics

    Use of advanced analytic techniques that leverage historical data to uncover real-time insights and to predict future events

  • Artificial Intelligence

    Develop algorithms to analyze digital data to work on business problems

  • Machine Learning

    Use data to learn and refine rules over time

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