Applications (V11.0)¶
April 14, 2025
The DataRobot V11.0.0 release includes many new features and capabilities for building applications, described below. See additional details of Release 11.0:
Code-first features
Applications¶
"Talk to my data" Agent application template¶
Use the "Talk to My Data" Agent application template to ask questions about your tabular and structured data from a .csv or database using agentic workflows. This application allows you to rapidly gain insight from complex datasets via a chat interface to upload or connect to data, ask questions, and visualize answers with insights.
Decision-makers depend on data-driven insights but are often frustrated by the time and effort it takes to get them. They dislike waiting for answers to simple questions and are willing to invest significantly in solutions that eliminate this frustration. This application directly addresses this challenge by providing a plain language chat interface to your spreadsheets and databases. It transforms raw data into actionable insights through intuitive conversation. With the power of AI, teams get faster analysis helping them make informed decisions in less time.
Cash flow forecasting application template¶
The cash flow forecasting application template, part of the Finance AI App Suite, outlines a basic development and prediction workflow for a late-payment predictive model. It leverages data stored in SAP Datasphere, SAP S4/HANA, and SAP Analytics Cloud to enhance financial planning with AI-driven forecasts and automated insights.
This application is useful for managing cash flows, credit risks, and collections. It targets industries that deal with a large volume of invoices, delayed payments, and extended payment cycles. The application provides real-time insights into cash flow forecasts and payment timing predictions, which improves decisions around optimizing working capital and meeting quarterly financial targets.
Demand planning application template¶
The demand planning business application template, part of the Supply Chain & Ops Suite, provides a demand planning predictive model development and forecasting workflow. It utilizes example data stored in SAP Datasphere and sourced from SAP IBP to enhance demand forecasting. It helps demand planners predict SKU-level demand fluctuations, optimize inventory allocation, and reduce stockouts and markdowns. Augment SAP IBP’s built-in models with DataRobot’s advanced time series forecasting, improving accuracy by factoring in external variables like climate and inflation. Identify SKUs with high-forecast discrepancies, allowing planners to focus on correcting the most impactful errors.
Predictive AI starter application template¶
Use this starter application template to execute a basic Predictive AI deployment workflow in DataRobot. This template is ideal for kickstarting new recipes, providing a simple "hello world" example that can be easily customized to fit specific use cases.
View access logs for custom applications¶
Custom applications now provide access logs. Browse access logs to monitor the history of users who have opened or operated a custom application. You can view access logs from an application or an application source. The access logs detail users' visits to the application, including their email, user ID, time of visit, and their role for the application.
"Talk to my data" Agent application template¶
Use the "Talk to My Data" Agent application template to ask questions about your tabular and structured data from a .csv or database using agentic workflows. This application allows you to rapidly gain insight from complex datasets via a chat interface to upload or connect to data, ask questions, and visualize answers with insights.
Decision-makers depend on data-driven insights but are often frustrated by the time and effort it takes to get them. They dislike waiting for answers to simple questions and are willing to invest significantly in solutions that eliminate this frustration. This application directly addresses this challenge by providing a plain language chat interface to your spreadsheets and databases. It transforms raw data into actionable insights through intuitive conversation. With the power of AI, teams get faster analysis helping them make informed decisions in less time.
Install non-Python dependencies for custom applications¶
When you build a custom application, you can supply a requirements.txt file in an application source to instruct DataRobot to install Python dependencies when building an app. To install non-Python dependencies, you can now provide a build-app.sh script as part of application sources. DataRobot calls the script when you build an application for the first time. The build-app.sh script can run npm install or yarn build, allowing custom applications to support dependency installation for JavaScript-based applications.
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