Audience

Companies and developers looking for a software solution to build, run and manage AI models

About IBM Watson Studio

Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.

Pricing

Free Trial:
Free Trial available.

Integrations

API:
Yes, IBM Watson Studio offers API access

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
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Company Information

IBM
Founded: 1911
United States
www.ibm.com/cloud/watson-studio

Videos and Screen Captures

IBM Watson Studio Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online

IBM Watson Studio Frequently Asked Questions

Q: What kinds of users and organization types does IBM Watson Studio work with?
Q: What languages does IBM Watson Studio support in their product?
Q: What kind of support options does IBM Watson Studio offer?
Q: What other applications or services does IBM Watson Studio integrate with?
Q: Does IBM Watson Studio have an API?
Q: What type of training does IBM Watson Studio provide?
Q: Does IBM Watson Studio offer a free trial?

IBM Watson Studio Product Features

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Preparation

Data Access
Data Blending
Data Mashup
Data Transformation
Data Modeling
Visual User Interface
Collaboration Tools
Data Governance
Machine Learning
Data Cleansing

Data Science

Data Ingestion
Data Preparation
Data Visualization
Data Discovery
Advanced Modeling
Model Deployment
Access Control
Audit Logs
Reports

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization
Statistical / Mathematical Tools

Predictive Analytics

For Education
For Healthcare
Modeling & Simulation
Data Blending
Demand Forecasting
Sentiment Analysis
Data Mining
AI / Machine Learning
Benchmarking