Azure Open AI Two-Week Proof of Concept: Public Sector

The Maureen Data Systems' two week, Microsoft Azure Open AI proof of concept engagement is intended to help customers using the leading generative artificial intelligence cloud platform to leverage advanced models to explore, evaluate and "bring to life" their public sector industries also including government, utilities and energy related, enterprise use cases and business scenarios using their data, on their cloud.

Microsoft's Azure Open AI platform features the world's leading generative artificial intelligence platform which includes, GPT-4 Turbo. This model's advancement is that it can analyze images and provide textual responses to questions about them. It incorporates both natural language processing and visual understanding. This intensive, ten-day Microsoft Azure Open AI proof of concept engagement will help your organization rapidly explore and design (1) MVP (minimum viable product) financial services use case or scenario with your enterprise Microsoft Azure platform to explore these Generative Pre-trained Transformer (GPT) model experiences.

The purpose of the Maureen Data Systems' Azure Open AI Solutions for Public Sector proof of concept engagement is to help customers align a singular, enterprise business scenario or use case to a mature, end-to-end large language model (LLM) operational process. This process, executed over three milestones will instill repeatable actions that organizations can adopt when they look to build their own, large language model (LLM) solutions.

The Maureen Data Systems' Microsoft Azure Open AI proof of concept engagement will be performed through the following milestones:

• “Maureen Data Systems’: Two-Week Azure Open AI Solutions for Public Sector Proof of Concept Engagement”

o Milestone 1 | Ideation o Milestone 2 | Augmentation o Milestone 3 | Operationalization

At the end of the Maureen Data Systems' Azure Open AI Solutions for Public Sector proof of concept engagement, you will have:

• Accelerated your organization's ability to leverage large language models within applications that bring value to your business.

• Learned how to ethically and responsibly build a generative artificial intelligence solution on the leading cloud platform.

• Realize how one business scenario could possibly leverage detailed information about visible text in the image and the locations of objects of your enterprise data.

• Gained exposure to highly sophisticated deployment practices, monitoring techniques, iterative deployment methods, strategy for continuous model and process improvement.

Over the course of two weeks the Maureen Data Systems' Microsoft Azure Open AI proof of concept engagement, you will have explored and evaluated the latest Azure Open AI models, learned the Microsoft large language model-based applications operational best practices and strategies. This in-depth proof of concept will have shown you how to leverage GPT-4 Turbo with Vision, determined how to get the best value for your lone business use case using Azure AI Services' tailored enhancements when combined with Azure AI Vision.