AI governance for responsible transparent and explainable AI workflows

Managing Data for AI and Analytics at Scale with an Open Data Lakehouse Approach: IBM watsonx.data 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 whitepaper discusses the concept of AI governance, which is defined as the overall process of directing, managing, and monitoring AI activities. It outlines how you can build greater trust in your AI.

Here's what you'll learn:

The challenges that lead to scope drift
Roles across the AI lifecycle
IBM's principles of responsible AI

Download now

Provided by IBM

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