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WATSONX.GOVERNANCE

Accelerate responsible, transparent and explainable AI workflows. Now in Tech
Preview. General availability expected in December.
Book a live demo Watch the video



‘BREAK OPEN THE BLACK BOX’ WITH AI GOVERNANCE

The more AI is embedded into daily workflows, the more you need proactive
governance to drive responsible, ethical decisions across the business.
Watsonx.governance allows you to direct, manage, and monitor your organization’s
AI activities, and employs software automation to strengthen your ability to
mitigate risk, manage regulatory requirements and address ethical concerns
without the excessive costs of switching your data science platform—even for
models developed using third-party tools. 

Watsonx.governance will be generally available in early December. Read the news.

News IBM acquires Manta to complement data and AI governance capabilities Read
the announcement



Learn how to multiply the impact of AI with watsonx and AWS at AWS re:Invent



Digital event



Join watsonx Day on December 6 for the latest watsonx updates





watsonx.governance is now in Tech Preview. Sign up for the waitlist.



Get the ebook: Build responsible AI workflows with AI governance



THE VALUE OF BUILDING RESPONSIBLE AI

Operationalize AI governance   

Accelerate model building at scale. Automate and consolidate multiple tools,
applications and platforms while documenting the origin of datasets, models,
associated metadata and pipelines.

Read more Manage risk and reputation

Enable responsible, explainable, high-quality AI models, and automatically
document model lineage and metadata. Monitor for fairness, bias and drift to
detect the need for model retraining.

Read more Support regulatory compliance

Use protections and validation to help enable models that are fair, transparent,
and compliant. Automatically document model facts in support of audits.

Read more


A POWERFUL TOOLKIT FOR AI GOVERNANCE

Operationalize AI workflows, increase efficiency and accuracy at scale  Access
automated, scalable governance, risk and compliance (GRC) tools that span
operational risk, policy, compliance, financial management, IT governance and
internal/external audits. Proactively detect and mitigate model risk and
translate AI regulations into enforceable policies for automatic enforcement. 

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Track models, drive transparent processes  Monitor, catalog and govern models
from anywhere across the AI lifecycle. Increase predictive accuracy by
proactively identifying and mitigating bias, drift and the need for model
retraining. 

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Capture and document model metadata for effortless report generation  Model
validators and approvers can access factsheets for an always up-to-date view of
model lifecycle details. Model facts drive explainability and provide support
for audits, stakeholder, stockholder or customer requests.    

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Increase visibility and explainable AI outcomes  Use collaborative tools and
dynamic, user-based dashboards, charts and dimensional reporting. Increase
visibility into processes and the ability to explain model results, while
fostering an environment where compliance becomes an organizational-wide
responsibility.

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WAYS YOU CAN PUT GOVERNANCE TO WORK

Optimize profitability  Implement fair, transparent approval processes, free of
bias.  Provide automated documented model facts to support credit decisions. 

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Critical decisions require accuracy  Avoid inaccurate, potentially harmful
recommendations for diagnosis and treatment.  

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Improve demand forecasting  Increase accuracy, and improve process efficiency
and productivity over time. 

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Drive fair hiring practices  Ensure fair decisions, proactively detect and
mitigate bias, and provide documentation for audit support.  

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Partner with us to deliver enhanced commercial solutions, managed with
watsonx.governance, to better address clients’ needs.

Build with watsonx
Register for the webinar



RESOURCES

Guide Read about a three-step approach to AI governance
Discover insights on how to build governance systems capable of monitoring
ethical AI
Read the guide News Read why businesses must ensure generative AI is ethical,
accurate and bias-free Read the article Blog Accelerate responsible, transparent
and explainable AI Read the blog Guide book Discover four strategies for scaling
AI responsibly Explore the guide Thought leadership IBM’s multidisciplinary
approach is advancing responsible AI Learn how



EXPLORE OTHER WATSONX COMPONENTS

watsonx.ai
Explore our new studio for foundation models, generative AI and machine
learning.
watsonx.data
See how our data store combines flexibility of a data lake with the performance
of a warehouse.
Learn more about our AI and data platform called watsonx. 

Explore watsonx


Take the next step

Get started with your governance strategy and be among the first to try
watsonx.governance. General availability is expected in December.

Book a live demo Book a meeting
More ways to explore Become an IBM Business Partner Community Explore AI
consulting

FOOTNOTES

IBM’s statements regarding its plans, directions, and intent are subject to
change or withdrawal without notice at IBM’s sole discretion. See Pricing for
more detail. Unless otherwise specified under Software pricing, all features,
capabilities, and potential updates refer exclusively to SaaS. IBM makes no
representation that SaaS and software features and capabilities will be the
same.

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