Building predictive models is hard work. Deploying them shouldn’t be.
The typical cycle of deploying predictive models can be an error prone, labor intensive, multi-step approach that can take weeks or even months to complete - and at the same time costing organizations tens to hundreds of thousands of dollars.
Alteryx Promote provides an end-to-end data science system for developing, deploying and managing predictive models and scoring data with real-time decision APIs. It allows data scientists and analytics teams to build, manage and deploy predictive models to production faster — and more reliably — without writing any custom deployment code.
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Data Science in Practice: 5 Common Applications of Data Science
Deploy
Deploy Predictive models into production
Alteryx Promote makes deploying a predictive model easy with the click of a button regardless of your skillset.
Flexibility for Data Scientists and Business Analysts
Delivering R and Python models is immediately accessible via standard REST API requests without recoding or utilizing the code free environment of Alteryx Designer to build and deploy models.
Embed Models with Ease
Embedding models into production apps is as simple as sending an auto-generated code snippet to your dev team. Embed predictive models in any application capable of making REST API requests.
Real-time or Batch
Execute real-time predictions in low-latency applications or use batch mode for bulk offline scoring.
Alteryx Promote Product Overview
Alteryx End-to-End Platform Demo
Manage
Manage Models from development to production
Alteryx Promote allows users to manage the entire deployment process to ensure that models deployed to production work as intended to improve business performance.
Model Versioning
Ensure you are working with the most recent model through version control and tracking to facilitate organized collaboration. Deploy a new model via a hot-switch or roll-back to a previous version with the click of a button.
Unit Testing
Confirm that your source code operates properly with automatic unit testing before deployment. Unit test new models without interfering with existing models running in production applications.
Data Science in Practice: 5 Common Applications of Data Science
Monitor
Understand the effectiveness of your models
Visualytics in Promote lets users instantly see the performance and health of their production-based models to ensure the effectiveness of the models.
Model Performance
Access traffic and summary statistics of models running in production. Pinpoint and resolve model errors with speed and precision.
System Health Overview
Monitor the stability of your models and servers in real time. Alteryx Promote ships with a variety of system and model checks in one centralized view.
Alteryx Promote: Transforming Your Business with an End-to-End Data Science System
Technical Specifications
| Machine Requirements | Required: 64-bit, 32-bit not supported |
| OS Requirements | Linux CentOS 7 |
| Chip | Quad core** (single chip) |
| Processor | 2.5GHz or faster |
| RAM | 16GB |
| Disk Size | 100GB |
**Alteryx Promote requires 3 dedicated Servers with at least 4 cores each
Chrome – Windows: Latest
Safari – MacOS: 11 and above
Firefox Standard Release - Latest
Internet Explorer - 11 and above
Edge - Latest