课程: Driving Digital Transformation with Generative AI and Predictive AI Technologies

今天就学习课程吧！

今天就开通帐号，24,700 门业界名师课程任您挑！

Coping with flawed data and data bias

Coping with flawed data and data bias

课程: Driving Digital Transformation with Generative AI and Predictive AI Technologies

开始一个月试用 购买团队方案

Coping with flawed data and data bias

“

As much as it makes sense to pursue digital transformation as a means for a business to remain successful and attain new forms of growth, there are many ways this type of initiative could go off the rails. In this chapter, we'll highlight some of the risks and challenges that are commonly encountered by organizations. Much of this course was focused on how deeply AI technologies can be integrated within digital transformation initiatives and solutions. But as is well known about AI systems, the extent to which they provide genuine business value is typically directly related to the quality of data used to train them. In other words, garbage in, garbage out. Now, let's amplify that consideration to the reliance that our digital transformation may have on the results produced by AI systems. AI systems with poorly trained models will likely produce incorrect, incomplete, or otherwise flawed or biased results. If we base autonomous decisions or strategic decisions on flawed data results…

内容