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Use case
Faster oncology data extraction
Context

Ontada leveraged Microsoft’s Azure OpenAI Service Batch API and Azure AI Foundry to build its ON.Genuity platform, which processes 150 million unstructured oncology documents to automatically extract nearly 100 critical data elements across 39 cancer types. They integrated the new platform with their structured iKnowMed system using Azure Databricks for data ingestion and Azure Document Intelligence for text extraction, transforming manual chart review processes into an automated workflow that supports clinical decision-making and life science product development.

Models/tools
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4
Use case
Faster proposal generation
Context

GovDash integrated AI into its government contracting workflow by leveraging Azure OpenAI Service to automate data capture, compliance matrix development, and proposal generation. They implemented an OCR pipeline using Azure Document Intelligence to extract and transform information from PDFs, followed by chained prompts and a Retrieval-Augmented Generation flow to create detailed outlines and proposals in Microsoft Word. This solution automates critical business processes in the contract bidding lifecycle.

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