Since SUSE's acquisition of Losant, I've seen lot of responses asking about use cases. We (Skylytics) have been a Losant, and now SUSE Industrial Edge Partner for the past 6 years helping clients create solutions on the platform. Here's just a few use cases we've delivered:

• Asset Tracking
  • Tracking Alcohol in the supply chain to ensure wine isn't overheating during transit or beer kegs aren't dropped, both of which affect the final quality of the product
  • Monitoring the location of workers on construction sites to ensure employee safety around large construction machinery
  • Tracking high value assets such as medical equipment in hospitals, AV equipment in offices, etc to not only understand their location, but to also provide indoor navigation to find those items with turn by turn directions on a mobile app
• Smart Buildings
  • Realtime monitoring of temperature, humidity and occupancy within buildings to reduce wasted energy by not cooling/heating unoccupied offices
  • Monitoring Air quality in the workspace to ensure a good working environment
  • Space utilization by monitoring the use of desk space for those that work in a hybrid environment and want to understand what desk availability is within the office
  • Monitoring on-demand cleaning of common spaces such as bathrooms for better worker quality of life
  • Managing and monitoring smart lighting to reduce energy waste
• Industrial & Manufacturing
  • Real time monitoring of production lines to measure OEE in the factory, along with associated labor and quality metrics.
  • Remote monitoring of large industrial equipment such as generators or water pumps to maintain peak performance and to predict potential maintenance issues before they happen
  • Geo-fencing equipment to reduce theft

That's just a sample of some of the use cases we've worked on over recent times. Now expanding the offering to include the broader SUSE product set and the Edge strategy marks the next chapter of what's possible, especially when you also include AI & MCP to the mix. We already have clients leveraging AI to make better predictions on multiple data points to reduce the operational expense of unplanned downtime.

I hope this gives everyone some food for thought!

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