End-to-end AI governance is critical for scalability. The watsonx.governance™ toolkit seamlessly integrates with your existing systems to automate and accelerate responsible AI workflows to help save time, reduce costs and comply with regulations. You also benefit from the ability to deploy AI wherever it makes sense across your hybrid cloud.
How do you scale AI across your business? What are your risks? Where did you get your data? What models are you using? Get the answers with watsonx.governance.
Take advantage of automated tools that provide risk metrics to stay ahead of threats and help uncover security vulnerabilities and misconfigurations.
As AI evolves, so will the regulations
Simplify compliance with tools that automate the process of identifying regulatory changes and translating them into enforceable policies.
Automate and scale end-to-end AI governance from selecting the right use cases to developing, deploying, monitoring and replacing models—across any IBM or third-party models such as OpenAI and Amazon SageMaker.
Regardless of where you intend to employ AI in your business, strong, scalable governance is critical
The US Open used watsonx.governance to remove bias from tournament data to increase court fairness from 71% to 82%.
Deloitte leveraged watsonx.governance to address various aspects of AI governance—including compliance, risk and lifecycle governance.
Tech Mahindra combined watsonx.governance with TechM amplifAI to help clients scale generative AI across their businesses.
The IBM Office of Privacy and Responsible Technology was able to simplify and automate global privacy and AI compliance tasks for IBM machine learning models.