Artificial Intelligence & ML customers showcase

Blip is an AI-first company and has a strong relationship with Microsoft due to the latter’s longstanding leadership in AI. So, to help drive strategy and deliver scalability, Blip chose solutions that included Microsoft Azure OpenAI Service, .NET, and Azure Kubernetes Service.

.NET is "opportunity of a lifetime" for developers, says H&R Block Principal Architect.

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.

Asgard Systems uses demand forecasting in grocery stores to reduce food waste and gas house emissions.

endjin uses ML.NET with AutoML to improve the process of classifying articles for their Azure newsletter and to revolutionize simple, everyday tasks.

Microsoft Real Estate & Security uses ML.NET to detect and classify HVAC system faults on Microsoft's campus and convert them to work orders.

Visma Spcs is a leading software company providing modern services to simplify accounting, HR, payroll, and more. They've successfully integrated AI and Semantic Kernel with .NET to revolutionize their customer experience. Customers can now find the right information quickly and easily, ask questions and get accurate answers, and locate references to the correct documentation.

Hunter Medical Research Institute (HMRI) built a Human-In-The-Loop ML framework for medical research using ML.NET.

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.

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.

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.

AVEVA uses ML.NET digitize engineering and operations processes for industrial scenarios.

Camera Futura uses ML.NET to help photographers prepare thousands of images for post-processing.

VoodooShield uses dynamic security postures and ML.NET to detect malware.

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.

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.

Scancam uses ML.NET to detect vehicles at fuel station pumps and provides alerts for known offenders who previously drove off without paying for their fuel.