Data Science Workbench

One unified environment to research, experiment collaborate, manage and deploy data science

Unified Code-first Data Science Stack

The Data Science Workbench is a unified code-first environment built by data scientists, for data scientists. Intel® Tiber™ AI Studio’s data science workbench is the only solution to unify code, projects, and supports deployment at scale. Enhance productivity with container-based model management, MLOps automation, and end to end tracking and monitoring for easy reproducibility.

Accelerate Data Science Workflows with MLOps Automation

Simplify engineering heavy tasks like tracking, monitoring, configuration, compute resource management, serving infrastructure, feature extraction, and model deployment
Spin up a data science workbench using any language, package or environment
Launch pre-configured workspaces with any on-premise, cloud or hybrid compute engine and instantly scale with native Kubernetes, and Spark
Rapidly run hundreds of experiments, data science workloads and pipelines simultaneously

Extend Flexibility and Scalability with Custom Interactive Workspaces

Data scientists can research and experiment freely with full traceability in one unified interactive workspace
Launch any interactive workspace environment with built-in support to Jupyter, RStudio, VSCode, and more with pre-installed dependencies and version control
Dynamically attach data, sync files and artifacts with continuous tracking of work
Centralize info, logs and metadata with easy access to TensorBoard, SparkUI and all your favorite tools with one data science platform
Deploy production-grade endpoints directly from your workspace environment

Improve Productivity with Collaborative Notebooks, Models and Dashboards

Track, visualize and share all data science notebooks in your workspace automagically
Share and reuse data science components to build fast, reproducible data science workflows
Enable end to end model management with hyperparameter optimization, experiment tracking, comparing
Quickly publish interactive dashboards using Dash, Voila, or RShiny for improved reporting