Descriptive models aim to describe patterns, relationships, and structures within data. They don’t predict future outcomes but provide insights into existing phenomena.
Our descriptive AI models provide valuable insights for decision-making and understanding complex systems of your organisation.
Our solutions for descriptive AI models
Descriptive AI models play a crucial role in business optimisation and decision-making, adding strategic value to your company.
Descriptive AI model types
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- Histograms: visualise data distribution by grouping values into bins.
- Heatmaps: display patterns in two-dimensional data using color intensity.
- Cluster Analysis: identify clusters (groups) of similar data points.
- Association Rules: reveal frequent item sets or co-occurring events.
- Time Series Decomposition: separate trends, seasonality, and noise in time-series data.
Building robust and scalable AI models
We focus on building highly performant optimised AI models that minimise the use of computational resources, resulting in lower costs and environmental impact.
We always evaluate AI use cases within the specific company industry to make sure descriptive AI empowers businesses to make data-driven decisions, optimise processes, and stay ahead in a dynamic market landscape.
Here are some typical key solutions we can help your company with:
