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Interview
What applications do you expect to migrate onboard over the next few years? Today, fleets mostly run telemetry filtering, video preprocessing, and basic operational analytics, using containerized apps to cut what gets sent to the cloud. Going forward, expect more AI edge processing added to these boxes for faster, more cost-effective data handling without consuming bandwidth, such as object detection on video streams locally rather than shipping everything upstream. As models get more efficient, more real-time decision-making moves onboard, so the vehicle can act on data instead of waiting for a round trip to the cloud. That’ s what turns the router from a pipe into a platform.
How are remote management tools changing how organizations run fleets? Remote management has shifted fleets from reactive, in-person troubleshooting to proactive, centralized operations. With a platform like Digi Remote Manager, for instance, operators can provision devices before they ship, push firmware and configuration fleet-wide, monitor modem health, and diagnose issues without a truck roll. That’ s the difference between managing a handful of vehicles and confidently scaling to thousands. AI-assisted layers on top are starting to turn raw device data into actionable recommendations, which is the direction the whole category is heading.
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