Available plans:
IBM Watson Studio Desktop 30-Day Trial
IBM Watson Studio Desktop - Monthly
Build and train AI models, and prepare and analyze data, in a single, integrated environment
- Prepare, blend, explore, and model your data within minutes without coding
- Unlimited modeling without overages
- Open source integration supports up to 2 weeks of offline use
- Easily switch between deployment offerings with the same designs as Watson Studio Cloud and Local
- Includes most popular Watson Studio tools including SPSS Modeler, Data Refinery, Projects, and a convenient check for updates and features
- 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.
Explore the data science lifecycle
- 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.
Create and test a visual recognition model
- 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.
Try the hands-on lab to create deep learning models
Communities and Documentation
- Data science community
- Harness the power of the community. Check out the collection of articles, data sets, notebooks and tutorials.
Explore the community
- Github repository
- A repository of demos, tutorials, sample apps, and more.
Check out the resources
- Forrester study
- Forrester Consulting’s Total Economic Impact study quantifies the benefits of deploying Watson Studio and Watson Knowledge Catalog.
Download the study
- Stack Overflow
- Commons questions and answers about Watson Studio.
Search for answers
- Documentation
- Explore more of what you can see and do with Watson Studio and see videos of key tasks.
Read documentation
- Solution brief
- Find out how you can use this integrated platform designed to help data scientists and business analysts develop, train and manage models.
Read more
Demos
- Introduction to IBM Watson Studio Desktop
- See how to start to prepare data and build models on your desktop with visual drag and drop tools.
Watch the video (6:56)
- Neural network modeler and deep-learning experiments
- Get an overview of the neural network modeler tool and see how quickly a model can be created using this tool.
Watch the video (3:05)
- Model management and deployment
- Watson Studio allows data scientists and analysts to quickly build and prototype models, monitor deployments and learn over time, as more data becomes available.
Watch the video (2:49)
- Build a logistic regression model
- See how easy it is to build a logical regression model using the tooling available in Watson Studio.
Watch the video (4:03)
- Watson Studio Local - Administration
- See the introduction of Watson Studio Local administrative dashboard and community features.
Watch the video (5:39)
- Watson Studio Local - Analytics
- See the introduction of Watson Studio Local model builder and analytic asset features.
Watch the video (6:28)
Product Tours and Hands-on Labs
- IBM Watson Studio product tour: Create a machine-learning model to predict customer churn
- Get experience with Watson Studio by creating a decision-tree machine-learning model to evaluate the risk of a customer leaving your service.
Explore the product tour
- IBM Watson Studio: Machine learning and deep learning made easy
- Learn how to pick the best model for churn prediction and take advantage of Watson services.
Try the hands-on lab
- IBM Watson Studio Modeler Flows product tour: Create an SPSS machine-learning model
- Use Watson Studio Modeler Flows and the SPSS runtime to create a machine-learning model that evaluates customer churn risk and programmatically scores records.
Explore the product tour
Speed up machine-learning and deep-learning development with modeler flows Learn how to create Modeler Flows for three runtime environments - SPSS, Spark, and Spark for Neural Networks. Try the hands-on lab
- IBM Watson Studio product tour: Create and test a visual recognition model
- This product tour demonstrates how easy it is for all enterprises, big and small, to access visual recognition.
Explore the product tour
- IBM Watson Studio Local product tour: Build, train and deploy machine-learning models without coding
- Train and deploy a machine-learning model with this product tour, without any coding or manual model building skills.
Explore the product tour
- Build, deploy, test, and retrain a predictive machine learning model
- This tutorial walks you through the process of building a predictive machine learning model, deploying it as an API to be used in applications, testing the model and retraining the model with feedback data. All of this happening in an integrated and unified self-service experience on IBM Cloud.
Go to the tutorial
- Analyze and visualize open data with Apache Spark and Watson Studio
- In this tutorial, you will analyze and visualize open data sets using a Jupyter Notebook on IBM Watson Studio and Apache Spark service for processing. For this use case, you will start by combining data about population growth, life expectancy and country ISO codes into a single data frame. Then, query and visualize that data in several ways using the Pixiedust library for Python.
Go to the tutorial
