Gartner Magic Quadrant on DSML
Read why IBM is recognized as a Leader in the 2021 Magic Quadrant for Data Science and Machine Learning (DSML).
The Forrester Wave on PAML
Deep dive into how IBM is named a leader in The Forrester Wave™: Multimodal Predictive Analytics and Machine Learning (PAML), Q3 2020.
See why IBM is positioned as a Leader in the IDC 2020 MarketScape for Worldwide Advanced Machine Learning Software Platforms.
Gartner newsletter on ModelOps
Access your complimentary executive newsletter featuring two Gartner research reports.
Forrester TEI on explainable AI
See the benefits of model monitoring in New Technology: The Projected Total Economic Impact™ of Explainable AI and Model Monitoring in IBM Cloud Pak for Data.
ESG Technical Validation
See the results of how IBM Watson® Studio and IBM Watson® Machine Learning performed for collecting and analyzing data at scale.
451 Research infographic
Check out the infographic: ModelOps and Intelligent Automation as Enablers of Transformational Change.
451 Research brief
Explore the value of building ModelOps with intelligent automation for cloud-native apps in this 451 Research brief.
Aberdeen Research report
Learn how to synchronize AI and DevOps for more effective application development in this Aberdeen report.
Spring 2021: Data science and AI webinar series
Learn what’s next in AI and how to benefit from the latest innovations by watching this 5-part series.
Winter 2020: Data science and AI webinar series
Explore the path forward on scaling AI and data science by watching this 5-part series.
DevOps for AI, featuring Forrester
Gain an understanding of why enterprises need DevOps for AI and how the two are coalescing into ModelOps.
White papers, solution briefs and infographics
The data and AI platform buyer’s guide
Get your questions answered as you consider the right data and AI platform to accelerate digital transformation and achieve successful ROI.
IBM Cloud Pak for Data solution brief
Get an overview of the IBM Cloud Pak® for Data platform, where you can implement Watson Studio across multiple clouds.
Watson Studio solution brief
Get an overview of how this product helps data scientists and business analysts build, train and manage models and deliver AI-powered applications.
Simplify managing model risk
Discover 5 ways to simplify AI model risk management.
Get up to speed on what AI governance is and why it matters.
IBM Research on bias mitigation
Follow this framework to learn how to maintain model fairness.
Communities and documentation
Watson Studio community
Learn and engage with others using Watson Studio for AI projects.
Get answers to common questions about the product.
Find demos, tutorials, sample apps and more for data science with IBM.
Get started documentation
See more of what you can do with Watson Studio on IBM Cloud Pak for Data as a Service, including videos for key tasks.
Open source frameworks
Train and deploy machine learning models using popular tools, libraries and frameworks.
Product tours and tutorials
IBM Machine Learning Accelerator
Get started with this end-to-end deep learning platform by learning about its features.
Creating SPSS modeler flows
Learn how to graphically build and evaluate machine learning models using the IBM® SPSS® Modeler flow feature.
Modeler flows product tour
Create an SPSS machine learning model that evaluates customer churn risk and scores records.
Neural network modeler tool
See how quickly a model can be built using this tool for deep learning experiments.
Learn how to build and prototype models, monitor deployments and retrain models on new data.
Intro to IBM Watson® Studio Desktop
See how to prepare data and build models on your desktop with visual drag-and-drop tools.
Decision optimization modeling
See how to use a modeling assistant to build a decision optimization model for supply demand planning.
Training and certification
Explore demos, e-learning courses and badge quizzes to build foundational knowledge and validate skills.
See how to increase productivity working in a single environment with leading open source and IBM software.
Watson Studio Basics
Learn more in this video, which is part of the Solution Architect, IBM Cloud Pak for Data product certification.
ML rapid prototyping course
Learn how to create an automated pipeline in this course, Machine Learning Rapid Prototyping with IBM Watson Studio.
How-to documentation for popular tasks
Use the Data Refinery within IBM Cloud Pak for Data to clean and shape tabular data with a graphical flow editor.
Create Jupyter notebooks
See how create a notebook file, use a sample notebook, or bring your own notebook to Watson Studio on IBM Cloud Pak for Data.
Code and run a notebook
Find the steps and videos showing how to code and run an open source notebook.
Build models visually
Prepare data quickly and develop models visually with SPSS Modeler in Watson Studio.
Get started with AutoAI
Learn about this no-code approach to building and deploying a machine learning model.
Use decision optimization
Learn about using IBM’s industry-leading decision optimization solutions within Watson Studio.
Prepare models for monitoring
See how to use IBM Watson® OpenScale™ to track and monitor models for quality, fairness and drift metrics.
Manage model risk
Learn about using the model risk management solution to compare and evaluate models.
Predict and optimize outcomes with AI and machine learning models.