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Design, implement, and manage AI models while improving decision-making capabilities across any cloud environment. IBM Watson Studio facilitates the seamless integration of AI solutions as part of the IBM Cloud Pak® for Data, which serves as IBM's all-encompassing platform for data and artificial intelligence. Foster collaboration among teams, simplify the administration of AI lifecycles, and accelerate the extraction of value utilizing a flexible multicloud architecture. You can streamline AI lifecycles through ModelOps pipelines and enhance data science processes with AutoAI. Whether you are preparing data or creating models, you can choose between visual or programmatic methods. The deployment and management of models are made effortless with one-click integration options. Moreover, advocate for ethical AI governance by guaranteeing that your models are transparent and equitable, fortifying your business strategies. Utilize open-source frameworks such as PyTorch, TensorFlow, and scikit-learn to elevate your initiatives. Integrate development tools like prominent IDEs, Jupyter notebooks, JupyterLab, and command-line interfaces alongside programming languages such as Python, R, and Scala. By automating the management of AI lifecycles, IBM Watson Studio empowers you to create and scale AI solutions with a strong focus on trust and transparency, ultimately driving enhanced organizational performance and fostering innovation. This approach not only streamlines processes but also ensures that AI technologies contribute positively to your business objectives.
Integrations Supported
IBM Aspera
IBM Cloud
IBM Cloud Pak for Watson AIOps
IBM Cloudant
IBM DRaaS
IBM DataStage
IBM Db2
IBM ECM
IBM Informix
IBM Watson
Integrations Supported
IBM Aspera
IBM Cloud
IBM Cloud Pak for Watson AIOps
IBM Cloudant
IBM DRaaS
IBM DataStage
IBM Db2
IBM ECM
IBM Informix
IBM Watson
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Infor
Date Founded
2002
Company Location
United States
Company Website
www.infor.com/products/coleman
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/cloud/watson-studio
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Robotic Process Automation (RPA)
Analytics
Attended Automation
Code-free Development
Image Recognition
Optical Character Recognition
Process Builder
Third Party Application Integration
Unattended Automation
Categories and Features
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis