AI governance for responsible transparent and explainable AI workflows

Managing Data for AI and Analytics at Scale with an Open Data Lakehouse Approach: IBM whitpaper
(Image credit: IBM)

AI presents an enormous opportunity. Businesses can turn data into insights and spark better decision-making. However, many companies struggle to use AI confidently. 

This eBook discusses 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. 

It outlines the key building blocks and introduces IBM’s new toolkit for AI governance, IBM watsonx.governance. If you want to build greater trust in your AI, we encourage you to read this resource.

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Provided by IBM


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