Meet some companies using ML.NET to solve their business problems
SigParser converts e-mail signatures to contacts and eliminates manual data entry; it uses ML.NET to predict if an e-mail sender is human or an automated system.
Williams Mullen uses ML.NET for document classification so that their lawyers can focus on clients instead of on searching through millions of legal documents.
Evolution Software uses ML.NET to predict moisture levels of hazelnuts during the commercial drying process and alerts operators when they reach the ideal level.
Brenmor uses ML.NET to categorize comments from patient surveys so that feedback can be quickly addressed by the correct personnel, improving the quality of patient care.
endjin uses ML.NET with AutoML to improve the process of classifying articles for their Azure newsletter and to revolutionize simple, everyday tasks.
Microsoft Defender ATP uses ML.NET to produce a variety of machine learning models to keep their half a billion users' computers safe from malware.
Power BI uses ML.NET to help users identify key influencers and customer segments so that they can understand the factors that drive their business metrics.
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