Visualization DB
A Simulation Center business analytics and metrics application with advanced reporting, drill-down analytics, and real-time data capture. The iEXCEL App is a purpose-built technology solution for the Global Davis Center.
The application is designed to capture data from the center's activities, events, and simulations. The data is then used to measure the center's performance, manage resources, and make data-driven decisions. The application is designed to capture data from the center's activities, events, and simulations. The data is then used to measure the center's performance, manage resources, and make data-driven decisions.
A cloud hosted, scalable, and completely isolated infrastructure to explore the possibilities of Ai at UNMC.
A pilot build out of Ai tools, resources, & isolated chat GPT. This project required a collaboration between UNMC staff, committees, stakeholders, and much more.
Project Design UI/UX Image CDN Cloud Hosted Analytics Chat GPT Azure Cognitive Services Lucene Graph Bing Api
Scope of work
Every design journey starts off with a wireframe of all the requested features and a plan for user flow through the web app.
All of these features were built out in a cloud hosted Azure app that is completely isolated and in a secure tenant. The app is built to scale and can be handed off to a production environment or solution owner.
This MVP build includes a chatGPT, Bing Ai Search, Ai News and was stood up to capture the vision of the UNMC Ai Committee and faculty. We have discovered that many of the tools and resources are already available and can be integrated into the app. And that just having a physcial place to explore Ai tools and resources is a great asset to spark the possible solutioning for Ai.
Research
- Status Quo Research
- Requirements Document
- Project Scope
UX Design
- Wireframes
- User Flow
- Feature Requests
MVP Build
- Angular App
- API Gateway
- Azure Services
Research & Design
A lot of time was spent researching the current Ai tools and resources available to UNMC. This research was used to create a requirements document and project scope.
The project scope was used to create wireframes and a user flow for the app. The wireframes were used to create a feature list and a plan for the MVP build.
Wireframe & MVP
The wireframes were used to create a feature list and a plan for the MVP build. The MVP build was created to capture the vision of the UNMC Ai Committee and faculty.
We used Angular to build the app and Azure services to host the app. The app is completely isolated and in a secure tenant. The backend uses Asp.NET Core hosted in an API Gateway. The benefits of this setup are that the app is scalable and can be handed off to a production environment or solution owner.
Chat GPT
This app uses Azure Cognitive Services to host a chatGPT. The chatGPT is a powerful tool that can be used to answer questions and also to provide information.
This version of the chatGPT is isolated and can be used to explore the possibilities of Ai at UNMC. The version of chatGPT can be rolled up as new version are released and the model can be retrained.