Six good reasons to use Watson Studio

Data preparation

Uncover hidden insights in your data with built-in data cleaning and transformations with Data Refinery. Have access to a tabular view of your data, including visualizations and summary statistics, which help you to uncover hidden insights by asking the right business questions of your data.

Data exploration

Using the included dashboarding service, produce stunning visualizations directly from your data in real time, allowing you to illuminate previously unknown patterns, relationships or other actionable findings. Then easily share with your team.

Model development

Test and deploy models, using customizable compute environments that scale up and down with your workflow. Choose the best environment based on the phase of your model and the scale needed. Choose from various capacities of Anaconda, Spark and GPU environments.

Model evaluation

Improve your model's performance by visualizing fit between model and data, with Model Visualization within SPSS Modeler.

Model deployment

Once your model is ready, deploy and score your model with the available IBM Watson Machine Learning service.

Model management

Compare runs and conduct model hyper-parameter optimization easily with Deep Learning Experiments.

Customer case study