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Use case
Efficient edge AI deployment
Context

Coles uses Azure Stack HCI and Azure Machine Learning to build an intelligent edge backbone, improving management of applications and AI/computer vision use cases across 500+ stores.

Models/tools
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2
Use case
Faster pet diagnosis
Context

Mars, a global petcare company, uses Microsoft's Azure AI model catalog, choosing Mistral for its model as a service offering, to accelerate the development and deployment of its AI-powered solution RapidRead. RapidRead interprets pet radiology scans quickly, assisting veterinarians in diagnosing medical conditions faster. By employing Azure Machine Learning, Mars can process millions of images and reports, supporting veterinarians with AI-enhanced tools.

Models/tools
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1
Use case
Early detection of dental issues
Context

Virtual Dental Care (VDC), a teledentistry provider, developed an AI application called Smart Scan using Azure Machine Learning. Smart Scan analyzes dental photos and x-rays to detect common dental issues, such as decay and gum inflammation. Built in the Azure ecosystem, it easily scales for large group screenings, reducing administrative paperwork by 75% in a school study and allowing dentists to focus more on patient care.

Models/tools
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1
Use case
Faster data analysis
Context

Boyner uses Azure OpenAI Service and Azure Machine Learning to analyze data faster and generate product descriptions automatically from product photos.

Models/tools
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2
Use case
More effective performance feedback
Context

Cognizant uses Microsoft Azure Machine Learning to enhance its performance management system GoPerform by integrating AI to improve manager feedback, ensuring employees receive meaningful, actionable feedback.

Models/tools
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1

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Context Windows provides managers and business owners with practical examples from across industries to inspire and inform their next AI initiative.

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