Not just an AI model: the ai-predict AI pipeline.
An AI pipeline maps a data flow across a wide variety of sources and interfaces as precisely and structured as possible. This offers optimal conditions for the implementation of various AI applications for company and customer processes as well as products and services.
Why do we talk about our AI pipeline and not – like everyone else – about AI models?
Because our pipeline covers so many things at the same time. The final result is an AI model, which then creates the result, e.g. the required formulation, and can integrate complete workflows,
Optimization possible at any time
Two points are crucial here: we can intervene at all points through this AI pipeline. We use the extensive AI and statistical tools as well as the highly parameterizable software right from the start of the calculation: We optimize the selection of existing data used for the calculation. This makes it possible to calculate a valid result even with little data.
Why don’t you just use a trained AI model?
Trained AI models are suitable for predictions with stable data. But this has disadvantages: The initial data cannot be flexibly expanded.
We calculate a model on the basis of existing customer data. This provides new insights – the basis for innovative solutions based on “old” data” (interpolation).
An AI model allows conclusions to be drawn about the initial data. Since we “only” provide the template for creating the AI model – our AI pipeline – your data is absolutely secure. Because the AI models – just like your data – are only accessible to you.
And why such an unspecific AI “pipeline”?
At the start of the project, we do not yet know what your individual pipeline will look like. We use statistics, algorithms, heuristics etc. to determine stable results. A lot of expert knowledge flows back and forth between us and our customer.
For example, we recognize that a physical model has already been used for a part of the question. we can look at this, translate it and use it to train our AI (e.g. multi-channel theory for coatings). Or there is a lack of information that we can determine using AI and simulations. This is built into the pipeline.
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Dr. Mathias Huck
Head of Sales
+49 170 3281 473