SCALE AI ACROSS CUSTOMERS WITH DECENTRALIZED MACHINE LEARNING
Create and manage machine learning models on distributed systems, at scale and without sacrificing data privacy or security.
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Machine Learning Enables New Features and Services
for Industrial Machinery
Predictive Maintenance
Quality Control
Production Planning
Automation
Machine
Machine Learning
ML-based features and services
Predictive Maintenance
Quality Control
Production Planning
Automation
However, Applying Machine Learning Is Challenging for Providers
Restricted data access
Some customers may not be willing to share their data. This may be due to legal, strategic or technical restrictions.
Diverse requirements
Machines, processes and customers are different, making it hard to apply one-size-fits-all ML models.
Availability of local IT systems
The availability of local IT systems varies, because they are busy or intermittently have no internet access.
Restricted data access
Some customers may not be willing to share their data. This may be due to legal, strategic or technical restrictions.
Diverse requirements
Machines, processes and customers are different, making it hard to apply one-size-fits-all ML models.
Availability of local IT systems
The availability of local IT systems varies, because they are busy or intermittently have no internet access.
60% of German mechanical engineering companies want to roll out ML-based solutions, like predictive maintenance or machine vision, across customers by 2022.
VDMA, 2019
53% of German companies struggle with the application of machine learning because of strict data exchange standards.
IPSOS & iCite, 2020
We Support Companies in the Development
of Hybrid Infrastructures
Machine learning everywhere
Apply ML on edge and in the cloud
Model management
Manage individual ML models across different systems
Re-use of models
Use machine learning instantly on new machines
Don't just take our word for it
Get in touch!
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