You Ask, I Answer: Difference Between Fair and Unfair Bias?
Gianna asks, “What’s the difference between fair and unfair bias? What’s the fine line?” Fair and unfair comes down to two simple things: laws and values. Statistical bias is when your sample deviates from the population you’re sampling...You Ask, I Answer: Third Party Data and Trustworthiness?
Ashley asks, “If you choose to use public datasets for your ML models, like from Amazon or Google, can you trust that those are free of bias?” Can you trust a nutrition label on a food product? The analogy is the same. What’s in the box is important,...You Ask, I Answer: Most Common Biases in Marketing AI?
Elizabeth asks, “What’s the most common type of bias you see that we as marketers should be aware of?” There are so many to choose from, but I’ll start with two: confirmation bias, and selection bias. Confirmation bias corrupts the entire...You Ask, I Answer: Data Democratization and AI?
Jim asks, “I am skeptical of data democratization because the average decision maker does not understand data collection, transformation, integration etc. Doesn’t AI make this an even bigger problem?” It depends on how abstracted the decision-maker...You Ask, I Answer: Attention Spans and Content Marketing?
Jen asks, “What is your take on the opinion that attention spans are getting shorter and people don’t read long-form content any more?” If that were true, Netflix would be out of business. Disney+ would not exist. Attention spans are longer than...AI for Marketers Book
In this all-new, completely-rewritten 2nd Edition of AI for Marketers, learn:
- What AI is and isn't
- 5 practical applications of AI in marketing
- Key questions to ask of any vendor claims about AI
- How to prepare your company and your career for AI
