How Machine Learning Transforms Data into Insight and Action within Your Agency

Your System + Trained Data Using Machine Learning = Better Insights, Predictions, & Processes.

Artificial intelligence (AI) using machine learning and predictive models has the power to transform how your agency performs their work. These tools can help your team draw better, faster conclusions over time by accessing the data you already collect every day.

What is Machine Learning?

Machine Learning comprises a variety of techniques allowing applications to automate business decisions and continuously improve performance, without requiring explicit instructions. Historical data is used to train a model for making predictions. All business applications can make use of Machine Learning in a wide variety of use cases. Our approach benefits our customers by increasing their efficiency, bringing robustness to features and functions, and doing all of this while reducing costs.

How is it Used?

Chainbridge Solutions works with customers to identify scenarios and provide proof of concepts that demonstrate the benefits of machine learning in their organizations and supporting mission systems. For example, we predict background investigation adjudication results based on data collected during the investigation. These prediction results help our customers rapidly pinpoint areas that need to be reviewed further leading to a more efficient and secure workforce. In addition, we also provide a confidence level that provides insight into how much additional work will be needed to complete the case. Efficiencies are also realized when Machine Learning demonstrates automatic task assignments based on employee availability and task details. This improvement reduces the need to create queues for distributing work, saving our customers time and money.

Implementing Predictive Models

Our machine learning pipeline consists of 3 steps:

  • Analyze – We analyze customer data models and use cases to determine what data should be incorporated into the machine learning solution. Using a scheduled job to continuously collect information from the system, we transform it into a suitable training set. Data parsing, encoding, and normalization is also performed during this analysis step. As time progresses, the amount of data available for training in the system increases and, as a result, the generated models will become more accurate.

  • Train – Using the training data set created during Analysis, we build and publish a customer-specific predictive model. Training the data includes the selection of algorithms and customization of features to generate a set of models. Based on the test results, the model with the best performance is saved for use in the application.

  • Enhance – Using the generated and selected predictive model, our team enhances the application. These enhancements typically include updating the user interface and simplifying the application to augment the data available to the user and streamline complicated business logic with model outputs.

Providing flexibility as a consideration at every point in the pipeline benefits our customers through tangible results driven by their specific needs. Several existing components and libraries are leveraged as we configure them during each step. This allows us to make changes to the feature set and data transformation process as the application evolves. In addition, the pipeline gives us a strategy for continuous learning so new models can be generated periodically, remaining current by using the latest data set. At any point, new algorithms and techniques can be used to construct additional models that may outperform the baseline. Lastly, our approach keeps all sensitive user information within the existing system, ensuring data is secure and free from unauthorized access and alteration.

Next Steps

Chainbridge Solutions can help you determine how machine learning can help your organization gain insight, predict outcomes, and streamline your business processes. Read more about our product Starshine for information about our applying our machine learning capabilities to Personnel Security. Ready for a more personalized consultation? Reach out to our team at