Application empowered by Azure OpenAI Service: 2-Week Proof of Concept

Onex Group

Learn about Azure OpenAI and build your first application

This service is designed to help you explore and leverage the power of Azure OpenAI and its cutting-edge technologies such as GPT-4. By participating in this PoC, you’ll have the opportunity to develop an application that demonstrates the benefits of generative AI and positions your organization as an innovator in this field.

Agenda for this two-week proof of concept:

Week 1:

  • Day 1: Kickoff meeting to discuss and define project requirements and goals, and to set project timelines.
  • Day 2-3: Azure OpenAI Service environment setup, including setting up the necessary subscriptions, resources, and tools.
  • Day 4-5: Data collection and processing, including identifying relevant data sources and structuring the data for use with Azure OpenAI Services.
  • Day 6-7: Azure OpenAI Service integration, including setting up the necessary APIs, authentication, and testing.

Week 2:

  • Day 8-9: Development of the application prototype, using Azure OpenAI Services to generate content, analyze data, or perform other relevant tasks.
  • Day 10-11: User interface design and development, including creating a user-friendly interface that showcases the power of Azure OpenAI Services.
  • Day 12-13: Application testing and refinement, including making any necessary adjustments to the application based on user feedback and performance testing.
  • Day 14: Final review and delivery of the proof-of-concept application, along with a detailed report outlining the capabilities and potential of Azure OpenAI Services.

Throughout the two weeks, there will be regular communication and collaboration between the Azure OpenAI Service consulting team and the client to ensure that the application is developed to meet the client's requirements and goals. The proof of concept will showcase the power of Azure OpenAI Services and provide a solid foundation for further development and integration into the client's existing architecture.