MACHINE LEARNING WORKFLOW EDITOR

Before the prevalence of the many GenAI integrations of today, dMetrics' Minsky SaaS Natural Language Processing platform aimed to empower clients to build their own machine learning pipelines and use them to process data from any text sources they chose. Unlike many other machine learning platforms at the time, Minsky was designed to be codeless and target clients unversed in artificial intelligence, instead using a graphic editor and modifiable components to set up the processing workflows. The challenge was to design an interface and pipeline development procedure that kept the learning curve to a minimum while still producing outputs and insights that returned high value.

Full dMetrics case study coming soon

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