IBM Watson OpenScale Description

IBM Watson OpenScale serves as a robust enterprise-level framework designed for AI-driven applications, granting organizations insight into the formulation and utilization of AI, as well as the realization of return on investment. This platform enables companies to build and implement reliable AI solutions using their preferred integrated development environment (IDE), thus equipping their operations and support teams with valuable data insights that illustrate AI's impact on business outcomes. By capturing payload data and deployment results, users can effectively monitor the health of their business applications through comprehensive operational dashboards, timely alerts, and access to an open data warehouse for tailored reporting. Furthermore, it has the capability to automatically identify when AI systems produce erroneous outcomes during runtime, guided by fairness criteria established by the business. Additionally, it helps reduce bias by offering intelligent suggestions for new data to enhance model training, promoting a more equitable AI development process. Overall, IBM Watson OpenScale not only supports the creation of effective AI solutions but also ensures that these solutions are continuously optimized for accuracy and fairness.

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Pricing

Free Version:
Yes

Integrations

API:
Yes, IBM Watson OpenScale has an API
No Integrations at this time

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Company Details

Company:
IBM
Year Founded:
1911
Headquarters:
United States
Website:
cloud.ibm.com/catalog/services/watson-openscale

Media

IBM Watson OpenScale Screenshot 1
IBM Watson OpenScale Screenshot 1 IBM Watson OpenScale Screenshot 2
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
In Person
Customer Support
Business Hours
Live Rep (24/7)
Online Support

IBM Watson OpenScale Features and Options

Artificial Intelligence Software

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 Software

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

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