AI governance for responsible transparent and explainable AI workflows

Whitepapers
By
published

Build greater trust in your AI

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

ITPro
ITPro

ITPro is a global business technology website providing the latest news, analysis, and business insight for IT decision-makers. Whether it's cyber security, cloud computing, IT infrastructure, or business strategy, we aim to equip leaders with the data they need to make informed IT investments.

For regular updates delivered to your inbox and social feeds, be sure to sign up to our daily newsletter and follow on us LinkedIn and Twitter.