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What is IBM watsonx.governance?
While the quality of models may vary, establishing governance is essential for ensuring responsible and ethical decision-making across an organization. The IBM® watsonx.governance™ toolkit for AI governance allows you to effectively manage, monitor, and oversee your organization's AI projects. By leveraging software automation, it significantly improves your ability to mitigate risks, comply with regulations, and address ethical considerations associated with generative AI and machine learning (ML) models. This toolkit equips you with automated and scalable governance, risk, and compliance tools that cover various areas, including operational risk, policy management, financial oversight, IT governance, and both internal and external audits. You can proactively recognize and reduce model risks while translating AI regulations into actionable policies that are automatically enforced, guaranteeing that your organization adheres to compliance standards and maintains ethical integrity in its AI practices. Additionally, this thorough strategy not only protects your operations but also builds confidence among stakeholders regarding the reliability of your AI systems. In a rapidly evolving technological landscape, embracing such governance measures is vital for sustainable growth and innovation.
What is EY Trusted AI Platform?
The EY Trusted AI Platform provides organizations with critical insights into the sources and elements that contribute to risk, while also aiding AI design teams in the evaluation and quantification of these risks. By employing interactive, web-based tools for schematics and assessments, the platform creates an in-depth risk profile for any AI system. It utilizes an advanced analytical model that converts user input into a composite score, reflecting the technical risk, impact on stakeholders, and the effectiveness of controls surrounding the AI system. In assessing technical risk, the platform scrutinizes the AI system's design, considering various risk drivers such as the technologies involved, the operational context, and the autonomy level of the system. Furthermore, when evaluating stakeholder risk, it takes into account the objectives set for the AI, alongside the financial, emotional, and physical impacts on both internal and external users, as well as potential reputational, regulatory, and legal issues that may emerge. This thorough methodology not only ensures that every aspect of risk is examined but also facilitates informed decision-making for organizations navigating AI implementation challenges. Consequently, the platform stands as a pivotal resource in enhancing the overall safety and efficacy of AI solutions.
Integrations Supported
IBM watsonx Assistant
IBM watsonx.ai
API Availability
Has API
API Availability
Has API
Pricing Information
$1,050 per month
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
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/products/watsonx-governance
Company Facts
Organization Name
EY
Company Location
United Kingdom
Company Website
www.ey.com/en_us/consulting/trusted-ai-platform
Categories and Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Categories and Features
Risk Management
Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment