Industry - Financial Services
What’s new
- Added Transform Insurance Industry Workflows Using Generative AI Models and Azure Services 🔄
Deep links
- Transform Insurance Industry Workflows Using Generative AI Models and Azure Services: This article highlights an innovative automated solution designed to transform the processing of insurance claim forms for the insurance industry (Tech Community)
Visit the extended Partner Crucible page on this Topic Page for more partner resources.
Azure Infrastructure Workloads
What’s New
- Added AI for Operations in Azure 🚀
Deep Links
- AI for Operations: AI for Operations: An integrated framework leveraging Azure OpenAI, Logic Apps, and Azure Functions to optimize operational processes, including cost monitoring, anomaly detection, security updates, and database assessments, with seamless scalability and intelligence for modern cloud environments (Tech Community)
Visit the extended Partner Crucible page on this Topic Page for more partner resources.
Business Applications Workloads
What’s New
- Added Dynamics 365 ERP solutions for Order to cash, Design to retire, Inventory to deliver, Plan to produce, and Source to pay with presales pitch decks through a process lens 🚀
Deep Links
- Order to cash: Order to cash - Presales pitch decks through process lens (Transform)
- Design to retire: Design to retire - Presales pitch decks through process lens (Transform)
- Inventory to deliver: Inventory to deliver - Presales pitch decks through process lens (Transform)
- Plan to produce: Plan to produce - Presales pitch decks through process lens (Transform)
- Source to pay: Source to pay - Presales pitch decks through process lens (Transform)
Visit the extended Partner Crucible page on this Topic Page for more partner resources.
DataAI Workloads: Azure OpenAI
What’s new
- Added Fine-tuning Azure OpenAI GPT-4o for Chart Analysis 📊
- Added Fine-Tuning GPT-4o for Action Recognition in Video Clips 🎥
- Added Generative AI Design Patterns for Agentic AI Systems 🧠
- Added Microsoft’s Agentic Frameworks: AutoGen and Semantic Kernel 🤖
Deep Links
- Fine-tuning Azure OpenAI GPT-4o for Chart Analysis: This accelerator demonstrates the process of vision fine-tuning of GPT-4o leveraging a chart analysis benchmark dataset for visual and logical reasoning. (GitHub)
- Fine-Tuning GPT-4o for Action Recognition in Video Clips: This Solution Accelerator demonstrates how to use Azure OpenAI GPT-4o vision fine-tuning to improve the model’s performance in detecting human activities in video clips. (GitHub)
- Generative AI Design Patterns for Agentic AI Systems: This repository contains a set of design patterns illustrating how to effectively build Agentic solutions powered by LLMs (Large Language Models) in Azure. (GitHub)
- Microsoft’s Agentic Frameworks: AutoGen and Semantic Kernel: Microsoft Semantic Kernel (SK) and Microsoft AutoGen are both open sources frameworks developed by Microsoft, serving different scenarios. (Tech Community)
- Microsoft’s Agentic Frameworks: AutoGen and Semantic Kernel: With Semantic Kernel’s enterprise-ready AI capabilities, customers can already use and get support for building agent applications and, moving forward, we’ll align the multi-agent runtime in AutoGen (called autogen-core) with Semantic Kernel, allowing customers to create enterprise-ready multi-agent solutions. (Dev Blogs)
Visit the extended Partner Crucible page on this Topic Page for more partner resources.
