AI models are determined by algorithms, data and parameters, all three of which must be aligned for the best performance. The choice and interaction between algorithm, data processing and parameterization is performed independently by Trendskout AutoML. This speeds up the entire process: from conceptualization to delivery of a high-performance application for AI and Deep Learning.
Data comes in various formats – structured and unstructured – and from many sources – databases, text files, data lakes, spreadsheets, API etc. Processing, cleaning and transforming this data manually for AI applications is error-prone and time-consuming. That’s why our data prepper supports and automates the entire process, so you can take the next step faster.
Leveraging a winning AI model can be done in various ways: via API endpoints, database updates, calling actions in other systems, generating advanced analysis reports, etc. With Trendskout you can select ready to use actions or output and link to the AI model via our Visual AI Flow editor. The platform includes a built-in real-time or batch inference server and built-in model updates so you don’t need to integrate additional systems to operationalize your AI application.
Trendskout offers a built-in inference server that analyzes your images in real-time and performs the desired actions. This is standard available in the cloud or via an offline server on your premise when privacy or technical reasons require so.
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