Cloud anywhere:
Azure for hybrid and multicloud environments
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As the world digitizes, organizations
generate more and more data at the edge.
Data comes from many sources such
as cameras, IoT sensors, and industrial
automation. Organizations can benefit from
analyzing, modifying, and filtering data
where it is generated, and only transfer
what they need to the cloud for further
processing or storage.
Example
A retail floor has dozens of cameras in
the store. Low or missing inventory is a
high-impact business scenario that causes
customer dissatisfaction, lost revenue, and
can be time-consuming for staff.
Solution
Using Azure Stack Edge in the store to
collect live feeds from in-store cameras
of the shelves, and the AI capabilities
of onboard FPGA or GPUs, you can run
machine learning code that's trained on
Azure and running locally on Azure Stack
Edge to score scenarios and make decisions
about inventory, customer needs, and
shopping patterns.
With Azure Stack Edge you can speed up
time to results by processing data close
to its source, without waiting for a round
trip to the cloud. Analyze, transform, and
filter data at the edge, sending only the
data you need to the cloud for further
processing or storage. Use the cloud to
push containerized applications to Azure
Stack Edge devices at all your locations.
06. Deploy
compute and AI
on the edge
