What is Domino Bi and what is it used for?
Domino is a data science platform designed to help individuals and organizations develop and deploy predictive models faster.
Domino provides a technological base to meet the unique needs of experimentation and model development. Run code instantly on machines with up to 2TB of RAM and 100 cores, or specialized GPUs for deep learning; Get all the power of Docker and containerization without being a DevOps expert.
Run multiple experiments in parallel to iterate faster, while Domino’s patent-pending Reproducibility Engine automatically tracks and organizes all artifacts and results from each experiment.
Domino comes preconfigured with research-optimized computing stacks. They include popular languages, tools and packages such as R, Python, SAS, Jupyter, RStudio, Tensorflow and H2O. Or take advantage of new data science tools by creating your own custom environment with any package you want.
Environments can be shared among colleagues, but securely with others’ security funds.
Unlike other platforms that force you to execute code on your proprietary laptop, Domino allows you to run code in a native development environment like RStudio, SAS Studio or JupyterLab.
Domino provides a unique place for you and your teammates to create, validate, deliver and monitor models. The reproducibility engine automatically tracks all experiments, so you will never lose work and always be able to reproduce the results. Domino maintains the code, environment details, data, discussions, parameters, and results for each experimental step.
Data science is a research-based process and Domino enables you to search, understand, build and contribute to the collective experience of your organization. Use existing code snippets, pipes, and other artifacts to reduce redundant tasks, such as manual data cleanup.
Domino supports multiple model delivery modes, so models fit seamlessly into existing workflows and systems to maximize impact. Stakeholders can receive scheduled reports, use self-service web forms, and participate with full apps built into Shiny or Flask.
IT engineers on downstream systems can call real-time, batch APIs that are automatically versioned, protected, and highly available. Domino automatically tracks complete source code, environments, data, parameters, and discussion of a delivered model so IT can validate, approve, or debug.