Overview
What is IBM Watson Studio?
IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data…
Why Use IBM Waston Studio?
Brilliant overall cloud product for data storage, processing, and analysis
IBM Watson Studio on Cloud Pak for Data for students
IBM Watson Studio on Cloud Pak for Data Review
IBM Watson Studio on Cloud Pak for Data Review
Running …
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Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Popular Features
- Interactive Data Analysis (22)10.0100%
- Visualization (22)10.0100%
- Connect to Multiple Data Sources (22)8.080%
- Extend Existing Data Sources (22)8.080%
Pricing
What is IBM Watson Studio?
IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI…
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Features
Platform Connectivity
Ability to connect to a wide variety of data sources
- 8Connect to Multiple Data Sources(22) Ratings
Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion
- 8Extend Existing Data Sources(22) Ratings
Use R or Python to create custom connectors for any APIs or databases
- 9.9Automatic Data Format Detection(21) Ratings
Automatic detection of data formats and schemas
- 6.4MDM Integration(14) Ratings
Integration with MDM and metadata dictionaries
Data Exploration
Ability to explore data and develop insights
- 10Visualization(22) Ratings
The product’s support and tooling for analysis and visualization of data.
- 10Interactive Data Analysis(22) Ratings
Ability to analyze data interactively using Python or R Notebooks
Data Preparation
Ability to prepare data for analysis
- 9.9Interactive Data Cleaning and Enrichment(22) Ratings
Access to visual processors for data wrangling
- 10Data Transformations(21) Ratings
Use visual tools for standard transformations
- 8Data Encryption(20) Ratings
Data encryption to ensure data privacy
- 10Built-in Processors(21) Ratings
Library of processors for data quality checks
Platform Data Modeling
Building predictive data models
- 10Multiple Model Development Languages and Tools(21) Ratings
Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.
- 9.9Automated Machine Learning(22) Ratings
Tools to help automate algorithm development
- 9.9Single platform for multiple model development(22) Ratings
Single place to build, validate, deliver, and monitor many different models
- 8Self-Service Model Delivery(20) Ratings
Multiple model delivery modes to comply with existing workflows
Model Deployment
Tools for deploying models into production
- 9Flexible Model Publishing Options(22) Ratings
Publish models as REST APIs, hosted interactive web apps or as scheduled jobs for generating reports or running ETL tasks.
- 7Security, Governance, and Cost Controls(22) Ratings
Built-in controls to mitigate compliance and audit risk with user activity tracking
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is IBM Watson Studio?
IBM Watson Studio Competitors
IBM Watson Studio Technical Details
Operating Systems | Unspecified |
---|---|
Mobile Application | No |
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(222)Attribute Ratings
Reviews
(1-25 of 65)Good for large teams with large data reiterating on their data projects in various steps.
Why Use IBM Waston Studio?
IBM Watson Studio on Cloud Pak for Data for students
IBM Watson Studio on Cloud Pak for Data Review
IBM Watson Studio on Cloud Pak for Data Review
Running and deploying ML and AI Models. It helps - no need to have local hardware. We are able to achieve all the tasks over the cloud.
Used in different parts of the organization.
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My organization as a whole use it to predict the profitability of Automated Teller Machines (ATM) and to find insights while there are higher traffic on some machines.