How will AI impact the future intelligence analyst?
Leidos is at the forefront of delivering innovation and advantage to organisations in the U.K., such as Defence Intelligence, through the identification, integration, and support of leading-edge technologies.
Our researchers in artificial intelligence and machine learning are investigating disruptive analytical techniques, within trustworthy, resilient and adaptable frameworks such as FAIRS. Our software and data engineers are developing capabilities such as Data to Intelligence, bringing a sense of order to disparate data and allowing the application of advanced AI techniques.
Leidos system engineers have harnessed leading technologies to deliver solutions such as the Document Exploitation (DOMEX) Data Discovery Platform, applying a layered, microservices-based architecture in the delivery of timely and complete DOMEX to the U.S. intelligence community.
For decades, Leidos has worked with the U.S. National Geospatial-Intelligence Agency (NGA) providing specialist analytical support, all source analysis and most recently, support in operations and sustainment of NGA systems.
But what about the analysts?
“There is a need to constantly balance the promise of new technologies and the importance of the analyst through all stages of the intelligence cycle,” according to Paul Rimmer CBE.
A former deputy chief of Defence Intelligence, Rimmer recently authored a white paper exploring the centrality of the intelligence analyst to the delivery of timely and accurate intelligence product.
Whilst AI will revolutionise many aspects of an analyst’s work, it is critical to integrate this with the supporting processes and, most importantly, the people who make intelligence valuable.
