By using Artificial Intelligence (AI) in industrial applications, relevant information can be extracted from data and processed so that automated decisions and predictions can be made.
The Industrial AI Assistant (formerly known as moneo Data Science Toolbox) makes it easy for everyone to apply data science. This AI assistant offers various tools that you can use to optimise and monitor manufacturing processes – all without the need for expert knowledge of data science and programming.
Accelerate transformation and scaling
Easily build and train your own AI/ML models in a guided configuration without the need for data science expertise
Improve your manufacturing quality
Automatically detect anomalies and other unwanted conditions in production using customised AI solutions
Boost efficiency(OEE/GAE)
Avoid losses and plant downtimes. Increase your overall plant efficiency by using customised warnings and alarms.
The Industrial AI Assistant currently includes the software solutions moneo SmartLimitWatcher and moneo PatternMonitor which serve to detect anomalies.
Further tools in the area of predictive maintenance are already in development and will soon be added to the Industrial AI Assistant.
➜ Learn more about moneo SmartLimitWatcher➜ Learn more about moneo PatternMonitor
Implementation: Industrial AI Assistant |
vs | Implementation: own data science project |
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Easy-to-use tool also suitable for maintenance teams without data science skills |
Access to data scientists necessary (expensive, 20k*) |
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Automated data preparation and guided AI training |
In-house project structure required |
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Integrated and scalable solution when combined with other moneo modules |
Manual data acquisition and processing process required |
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Suitability for wide range of applications and rapid solution availability |
Minimum project duration approx. 3- 6 months |
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Customisable and extensible – from beginner to professional level |
Tailored solutions are often not easily transferable and applicable |
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Excellent price-performance ratio |
Increased investment risk due to limited scalability |