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Use case
Human-like customer interactions
Context

Parloa built an AI-powered customer service automation platform using Azure Cognitive Services and Azure OpenAI Service to provide human-like interactions across phone, chat, and messaging apps.

Models/tools
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4
Use case
Faster risk analysis
Context

Agnostic Intelligence leveraged Microsoft Azure OpenAI Service and Azure Cognitive Services to build an AI-driven platform that delivers real-time insights for supply chain risk management. They integrated advanced machine learning and AI analytics to replace manual Excel questionnaires and lengthy email communications, streamlining risk assessments and compliance processes. The solution connected disparate systems via a digital control tower, enabling IT managers to focus on innovation and quality assurance.

Models/tools
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2
Use case
Simplifying data access
Context

Xavier College implemented Microsoft Dynamics 365 and AI tools like Azure OpenAI and Cognitive Services to consolidate data, streamline processes, and enhance productivity. They migrated all student and staff data onto Microsoft Azure, built user portals with Dynamics 365, and used AI to automate digitizing paper records.

Models/tools
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7
Use case
Accessible clinical records
Context

Oncoclinicas implemented a comprehensive digital portal and mobile app to automatically scan, extract, and digitize clinical exam data using Azure Cognitive Services’ Computer Vision for OCR and Text Analytics for Health. They integrated backend services including Azure Storage, Functions App, Service Bus, Cosmos DB, and Azure Machine Learning to centralize and structure medical records, deploying the solution over three months with onsite training at 129 care units to streamline clinical workflows.

Models/tools
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2
Use case
Faster document processing
Context

National Bank of Greece built an AI-powered document processing solution using Azure AI Document Intelligence. They analyzed 50 million pages to create a comprehensive dataset and employed Azure Cognitive Services for Greek language recognition, integrating the solution into six customer-facing digital banking applications. This implementation automates document categorization and data extraction, streamlining both customer service and regulatory processes.

Models/tools
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3

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