Make machine learning accessible to your business.
See Jupyter and Domo in action.
To see how Jupyter Workspaces works with Domo in a sample case study, check out our comprehensive walk-through video.
Robust ML development for data scientists.
With Jupyter Workspaces, data scientists can develop and deploy models in a familiar environment, using R or Python, and efficiently manage complex data pipelines, with features that include:
Scheduling and collaboration on models
Read-in and write-out capabilities
Integrations with platforms such as Github
Analysis and visualization of all features in a dataset for data prep
Ability to monitor models and ML metrics
In addition, Jupyter’s scaled compute tiers allow you to manage routine workflows or tackle advanced data science pipelines with up to a terabyte of memory.
Predictive, practical insights for business users.
Go beyond visualizations for data scientists and create dashboards for business users that present ML insights and make them actionable, with the ability to anticipate effects of actions and optimize results.
Easily see business impact with easy-to-use charts and dashboards
Set alerts to be notified when key data points change
Automate actions to drive positive outcomes
Domo + Jupyter
Learn how Domo's integration with Jupyter works for data scientists and business users.
