https://aws.amazon.com/solutions/case-studies/kemppi/
https://aws.amazon.com/solutions/case-studies/kemppi/
https://aws.amazon.com/solutions/case-studies/kemppi/
https://aws.amazon.com/solutions/case-studies/kemppi/
https://aws.amazon.com/solutions/case-studies/kemppi/
https://aws.amazon.com/solutions/case-studies/kemppi/
https://aws.amazon.com/solutions/case-studies/kemppi/
https://aws.amazon.com/solutions/case-studies/kemppi/
https://aws.amazon.com/solutions/case-studies/kemppi/
With AWS, we got our product to
market in six months instead of
once a year, and we can now
confidently release new code up to
ten times a week instead of once
each year.
Juhana Enqvist
Chief Digital Officer, Kemppi
(1)
https://aws.amazon.com/solutions/case-studies/kemppi/
Top IoT use cases for industrial companies
Predictive quality
Predictive quality is used to spot and remediate
quality issues fast. You can evaluate the state of
industrial equipment continually to identify
potential breakdowns before they impact
production. The goal is to determine the right
actions such as adjusting machine settings or
doing additional worker training to
improve quality.
For example, Kemppi used AWS to bring its IoT
solution for its flagship welding machine to
market and cut the cost of software
development by approximately 50%.ยน The
software lets the operator automatically apply
welding parameters stored in the cloud, making
the device easier to use for welders. It also
authenticates users, so that welders only work
on tasks they are qualified for. Finally, it saves
information about every weld, so companies
can prove they meet corporate standards.
