eBook: Build responsible AI workflows with AI governance
AI presents an enormous opportunity to turn data into insights and spark better decision-making. But today, many organizations struggle to operationalize AI with confidence and respond to changing regulations.
Our latest eBook introduces the concept of AI governance, which is defined as the overall process of directing, managing, and monitoring the AI activities of an organization to ensure outcomes are trusted and explainable. We'll outline the key building blocks and introduce IBM’s new toolkit for AI governance, watsonx.governance.
If you’re eager to have greater trust in your AI we encourage you to check out this resource.
AI governance for responsible, transparent, and explainable AI workflows
AI presents an enormous opportunity to turn data into insights and spark better decision-making. But today, many organizations struggle to operationalize AI with confidence and respond to changing regulations.
Our latest eBook introduces the concept of AI governance, which is defined as the overall process of directing, managing, and monitoring the AI activities of an organization to ensure outcomes are trusted and explainable. We'll outline the key building blocks of AI governance and share a detailed AI governance framework that you can apply in your organization.
If you’re eager to have greater trust in your AI we encourage you to check out this resource.