LSO DAT transforms text-based LSO carrier landing evaluations to allow machine learning to reveal evidence-based insights, optimizing training while reducing workload. Prototyped for the LSO School, embarked air wings, and aviator training units, it applies advanced data science to identify and highlight trends and areas of concern in performance. Handwriting recognition (OCR) allows LSOs to maintain their familiar CONOPS while gaining benefits from the tools. Collaboration with the user community has created familiar and intuitive visualizations. LSO DAT provides improved capability to the fleet as a standalone tool, and is ready to be integrated into data analysis suites and enterprise data systems. BGI is an innovative veteran-owned business that merges expertise of engineers, data scientists, and operational analysts to provide key innovations to the warfighter.
ARC is BGI’s powerful toolset that identifies key trends in recorded maintenance data. Actionable reports enable Condition Based Maintenance+ objectives, increasing operational availability while reducing workload. ARC integrates into any maintenance infrastructure. In use by the H-53E Fleet Support Team, enhancements are in development to support additional platforms. A plug-in architecture and user-scripting capability allow adaptation to a range of platforms and applications. “Field,” “Analyst” and “Enterprise” configurations provide common tools at all levels. User feedback shaped ARC to be useful upon delivery, optimal with moderate configuration. ARC is an ideal solution for identifying health trends in support of predictive maintenance for any military or commercial fleet. BGI is an innovative, veteran-owned business, merging expertise of engineers, data scientists, and operational analysts to support warfighters.