While ZMP chose automation way back in the day, it also now employs artificial intelligence models that can support the digitalization process and deliver the same or better results than was earlier achieved. The platform comes with a Models List that serves as a centralized hub displaying comprehensive information about all AI models utilized in the system.
This feature provides a detailed overview of all AI models integrated into the system, offering key insights into their underlying architecture and usage patterns. By facilitating transparency, the Models List will foster trust and confidence among users in our AI-powered solutions.
Utilizing the Models List
1. From the menu on the left, navigate to Data > Models List.
2. Click on any of the models to display its details.
Design and implement a user-friendly dashboard accessible from the Nav section. This dashboard will display a summary of all AI models deployed within the platform.
Each model will have its dedicated overview page, presenting essential information, such as model name, version, purpose, owner, and deployment date.
Include a section in the model overview that highlights the primary training data used to build the model. This will help users understand the data diversity and quality influencing the AI model's performance.
Offer an insightful analysis of the model's feature importance, shedding light on which input variables significantly influence its predictions.
Model Performance Metrics
Display relevant performance metrics (e.g., accuracy, precision, recall) to enable users to assess the model's effectiveness in different scenarios.
Ensure that each model has clear ownership information, allowing users to know whom to contact for questions, updates, or concerns related to specific AI models.
Implement version tracking for AI models to help users stay updated on the latest improvements and changes. They should be abble to navigate and see different page version depending on model version they have chosen.