Machine Learning AI
About the Data
Data Refresh Frequency: Updated daily at around 9:00 UTC. New AI model scan data can take up to 24 hours to appear.
Minimum Requirements: None
Overview
This interactive dashboard allows you to view all open-source Machine Learning (ML) and Artificial Intelligence (AI) components that have been integrated with your applications in Lifecycle. You can sort or filter the AI/ML components based on the type of the algorithm they are based on. This will be helpful in understanding the existing AI/ML adoption patterns in specific business areas and predict future adoption based on the current trends.
Note
Currently supported formats/ecosystems: PyPI, NuGet & CRAN.
This dashboard can currently detect the following categories of AI/ML algorithms or frameworks:
Framework/Algorithm Type | Definition |
|---|---|
Computer Vision | Type of AI that enables computers or systems to understand and interpret visual information from images or videos. |
Deep Learning | Subset of machine learning employing neural networks with multiple layers to learn patterns from data |
Generative AI | AI to create new, human-like content such as images, text, or code |
Machine Learning | Enabling computers to learn from existing data and make predictions or decisions without explicit programming intervention |
Model Deployment & Operations | Management and deployment of machine learning models in real-world applications |
Natural Language Processing | AI to enable machines to understand and generate natural human language |
Get to Know Your ML/AI Dashboard
Built-in Filters
AI Type: You can filter the dashboard results using the filters in the top panel to narrow results by First Scan Date, Organization, Sub Orgs, Application, Stage, AI type, and Subtype.
Additional filters such as Organization, Sub Orgs, Application, Stage, and Subtype can be used to further narrow dashboard results.
Use the available filters to narrow dashboard results by scan date, organization, application, stage, AI type, or subtype.
The selected filters are applied across all dashboard visualizations and tables.
First Scan Date: The date when an application or component was scanned for the first time.
Note
When you select an Organization, only the corresponding Sub Org and Application values under that organization are available for selection. If a selected Sub Org does not contain data, the data from the parent Organization is displayed within the Sub Org scope
Types of AI Components
This section shows a distribution of the different types of AI components detected during Lifecycle scans.
You will be able to view the AI/ML components that are found in applications you have access to.
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The chart displays the distribution of detected AI component categories across applications available to your organization.
Applications can appear in multiple AI type categories when more than one AI component type is detected within the same application.
Example: An application using both TensorFlow and LangChain components may appear in both Deep Learning and Generative AI categories.
Types of AI in Applications
This section shows a distribution of the different types of AI that are in use by applications in Lifecycle.
You will be able to view the distribution based on the AI/ML components that are found in applications you have access to.
Applications can appear in multiple AI type categories when more than one AI component type is detected within the same application.
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Top 35 AI Components in Your Applications
The embedded interactive Sankey chart allows you to hover over each node to view co-related details, starting from the type of the AI/ML framework to the exact name and no. of occurrences of the component being used in applications.
Selecting a component in the visualization filters related results across the dashboard to help identify associated applications and component categories.
The chart data is based on the AI/ML components that are found in applications you have access to.
Click on the kebab (3 vertical dots) icon on right top of the Sankey chart to download the data in your preferred format. Supported formats include TXT (tab-separated values), excel (2007 or later), csv, JSON, HTML, markdown or PNG.
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Top 20 Functions of AI in your Applications
This section categorizes the AI components in your applications by the function they are used for. In the example below, there are 5 components implementing the Framework function by your applications.
The chart displays the number of detected AI components grouped by functional category.
You will be able to view the AI/ML components that are found in applications you have access to.
The function of AI determines the behavior of the AI component. Based on the function, you can determine strategies for observability and governance as your applications move from research to production environments. This information also helps with troubleshooting, if needed.
AI Components in Each Organization
This section provides a summary of AI components detected across organizations.
The AI Components column displays the number of detected unique AI components associated with each organization.
Select an organization from the list to display the related AI component details and model categories associated with the selected organization.
The selected filters are applied across the organization summary table and related dashboard visualizations.
How it is calculated:
Counts unique component names within the current filter context.
Null or empty component names are excluded from the count.
The same component appearing in different applications is counted once unless filtered by application.
If a component is scanned multiple times across different scan periods, it is counted once per unique component name.
Note
The Totals value displayed in the table represents the total number of unique AI components detected within the current filter context. The Totals value is not calculated as the sum of the individual table row values.
AI Components in Each Application
This section provides a list of application names that use AI components.
You will be able to view the AI components that are found in applications you have access to.
The AI Components column displays the number of detected unique AI components associated with each application.
Select an application name from the list to display the related AI component details for the selected application.
The selected filters are applied across the application summary table and related dashboard visualizations.
How it is calculated:
Counts unique AI component names within the current filter context for each application.
Null or empty component names are excluded from the count.
If the same component appears multiple times within an application, it is counted once per unique component name.
Results respect all selected dashboard filters, including First Scan Date, Organization, Application, Stage, AI type, and Subtype.
Note
The Totals value displayed in the table represents the total number of unique AI components detected within the current filter context. The Totals value is not calculated as the sum of the individual table row values.
All AI Components Within Your Applications
This section contains a detailed listing of AI components detected within applications, including First Scan Date, Application, Component name, Stage, Type, and Subtype details for each detected component.
You will be able to view the AI components that are found in applications you have access to.
The table displays AI components detected in applications based on the selected dashboard filters.
Column | Description |
|---|---|
First Scan Date | Date when the application or component was first scanned. |
Application | Application name associated with the detected AI component. For historical data from a deleted application, this value may appear as an internally generated |
Component name | Name of the detected AI component. |
Stage | Lifecycle stage associated with the scan data for the detected component. |
Type | AI/ML category assigned to the detected component. |
Subtype | More specific AI/ML classification within the Type category. |
Note
The ML/AI dashboard shows historical AI component data. If an application with an AI component is later deleted, the component data may still appear in the dashboard. Because the deleted application details are no longer available, the Application value may show the internally generated Application_id instead of the application name. Treat this value as historical component data, not as active application information.
Select a component entry from the table to review the related AI component details and model category information.
The selected filters are applied across the detailed component table and related dashboard visualizations.
Note
The table displays up to the first 5,000 matching results.
Additional Supported Operations
You can download the underlying data by clicking on the kebab (3 vertical dots) icon on right top corner of this dashboard.
For instructions on exporting dashboards, tables, and scheduling deliveries, see Exporting Dashboards and Table Data .
Using the option, Schedule Delivery as shown below, you can send the dashboard data to multiple email addresses in the preferred format. Supported formats include PDF, CSV or a PNG zip file. Use the Recurrence and time field to set the timing of your data delivery options.
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Troubleshooting
Problem
Clicking on the browser Refresh button may give you the following error:
Solution
Click the Back button on your browser, from the page where you see this error, to go back to the Landing page Enterprise Reporting. Select the dashboard you want to view, to reload the visualizations.
To refresh the page, click on the refresh icon on the top right, instead of the Refresh button on your browser.
Problem
No data visible on the dashboard or any other issues with the dashboard.
Solution
Click on Copy to Support Info to Clipboard button and contact support with this information.
