7 Min Marketing With Pam Didner

Hello, everyone. In the past several episodes, I’ve been discussing AI’s role in Marketing. As I’ve been talking about all the wonderful magic of AI, you might ask, “What’s the catch?” Well, there is a dark side. If you use machine learning as a way to implement AI, you need to make sure you have high-quality data first.   Whenever I mention data, marketers are like “WHAT?” I was like “WHAAAAT? I know, right? Data is really the marketers’ nemesis. So the quality of data: you need to define in terms of the quality of your data and also your data sources.   You need to know the quality of your data. And here’s an analogy from Wilson Peng, CTO of Appen (and I love the analogy!). He said, “If you train a computer vision system for autonomous vehicles with images of sidewalks mislabeled as streets, the results could be disastrous. In order to develop accurate algorithms or predictions, you will need high-quality training data.” And I 100% agree with that.   Amazon famously scrapped its AI recruiting tool because i