3 steps to a successful AI project

Machine learning is a particularly interesting field within the AI world. It allows sources of error to be identified, processes to be optimized and forecasts to be made. IoT platforms act as a link here. Want to improve your processes with IoT and machine learning? Our whitepaper tells you how in a 3-step approach.
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Whitepaper "AI in IoT practice"
Read now!
In our whitepaper:
transparency
Think big, start small: This is the only way to go when it comes to integrating AI into IoT projects.
Insights

Our machine learning approach

Capture data
Feed insights into Rule Engine
Make forecasts with the help of algorithms
“Start with simple algorithms. In many use cases, linear regression is sufficient as a statistical analysis method to make predictions about when machine parts or tools need to be replaced”.
Hendrik Nieweg
Executive VP Solutions / Board Member, Device Insight
Perfect match: AI & IoT

You too can optimize your operations and production processes with machine learning.

W_Mockup_KI-in-IoT_EN_800x400.png
Whitepaper "AI in IoT practice"
Read now!