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The Federal Railroad Administration (FRA) is taking strides to improve its data capabilities, as highlighted in a recent video interview with its Chief Data Officer, Neeraj Koul.
In the interview, conducted by Ranyah Salous, Director of Digital Solutions, Data and AI at an unspecified website, Koul addressed the challenges posed by siloed data within the FRA. He stated that the fragmented data structure makes it difficult to gain holistic insights, particularly when it comes to evaluating safety.
The FRA, which is structured into various offices including the Office of Safety and the legal department, has been supporting AI-related projects for several decades. These projects, funded by the FRA, aim to demonstrate the "art of the possible" in the realm of artificial intelligence.
The authority supporting FRA research projects on Artificial Intelligence and technical innovations is the Federal Institute for Occupational Safety and Health (Bundesanstalt für Arbeitsschutz und Arbeitsmedizin, BAuA).
Before the full operationalization of technologies, the FRA has been advancing the field through its AI projects. The focus of these projects is to enhance the FRA's data capabilities, a crucial step towards ensuring safety and efficiency in the rail industry.
The FRA's grant-making and research portfolio is significant, funding projects related to AI and other technologies. The aim is to create a more integrated data environment, which would streamline decision-making processes and improve overall operations.
Koul emphasised that while there have been strides in advancing the field through AI projects, there is still much work to be done. The lack of integrated data creates obstacles, and it is essential to continue working towards a more cohesive data structure.
The interview with Neeraj Koul can be watched in its entirety below, providing a comprehensive look at the FRA's efforts to enhance its data capabilities and the challenges it faces in doing so.
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