Domo Data Science and Machine Learning provides a full-stack data experience platform that allows connection and transformation of data, building data models, and visualizing results. It focuses on managing AI/ML models, monitoring performance, and setting alerts for changes. One core feature is the ability for real-time AI-powered insights to drive data-based decision making. Domo supports data pipeline management for specific schema adherence. Its key features include integrating with Jupyter, automating model development, managing workflows, delivering insights, and accelerating model development with AutoML.
- Automated Data Workflows: Streamlines data science process for model development, monitoring, and visualization.
- AI-Powered Decision Making: Provides real-time AI-powered insights aiding in business impact decisions.
- Model Management: Efficiently creates, deploys, monitors, and adjusts AI/ML models.
- Data Pipelines: Enables seamless management of data pipelines, preparing, cleaning, and transforming data.
- Collaborative Platform: Offers built-in tools for data insights sharing, issue flagging, and stakeholder communication.
Domo Data Science and Machine Learning provides a full-stack data experience platform that allows connection and transformation of data, building data models, and visualizing results. It focuses on managing AI/ML models, monitoring performance, and setting alerts for changes. One core feature is the ability for real-time AI-powered insights to drive data-based decision making. Domo supports data pipeline management for specific schema adherence. Its key features include integrating with Jupyter, automating model development, managing workflows, delivering insights, and accelerating model development with AutoML.
- Automated Data Workflows: Streamlines data science process for model development, monitoring, and visualization.
- AI-Powered Decision Making: Provides real-time AI-powered insights aiding in business impact decisions.
- Model Management: Efficiently creates, deploys, monitors, and adjusts AI/ML models.
- Data Pipelines: Enables seamless management of data pipelines, preparing, cleaning, and transforming data.
- Collaborative Platform: Offers built-in tools for data insights sharing, issue flagging, and stakeholder communication.