Artificial Intelligence, Intelligence 3 MIN Read
October 12th, 2021
The way federal agencies make sense of data is changing drastically. And it stands to reason, right? Agencies are creating more data than ever before, and there are more tools at their disposal than ever before to make sense of it. Deriving value from data can transform the way agencies deliver services and, ultimately, positively impacting the people they serve.
Today, artificial intelligence, machine learning, natural language processing, computer vision, intelligent automation and cognitive agents are being used to support missions in entirely new ways. The following examples represent is a new way of using analytics to solve hard problems.
Without question, analytics are evolving – and will continue to evolve – the way that agencies deliver services. They’re also evolving the way that agency support partners must show up for them. At GDIT, an intentional methodology was developed to get value from data called Mission Insights, and we’re seeing spectacular results.
Mission Insights is a cloud-native analytics platform that allows us to ingest multiple types of data, enrich it with a host of AI/ML services and present it to users in an interface that allows them to search it, study it, build models or create alerts about items that are of interest to them.
From there, with Mission Insights, users have access to a suite of services from AWS. This includes entity extraction, text indexing, sentiment analysis, language translation, image and video entity extraction, predictive analytics and more.
On the backend, the innovations in Mission Insights also leverage AWS services, such as continuous integration-continuous deployment (CI/CD), infrastructure as code, event-driven architectures, data pipelines, zero trust security and serverless state programming library support.
In partnership with customers, we’re using Mission Insights to discover high-value use cases and develop strategic analytics roadmaps. Recent roadmap exercises are already shaping analytics initiatives at CMS, FAA, the U.S. Environmental Protection Agency, the Department of Homeland Security, the U.S. Patent and Trademark Office and the Office of Personnel Management, to name a few.