You Ask, I Answer: What I Wish I’d Known About AI
Paul asks, “Looking back on the way you learned about AI, is there anything you wish you would’ve figured out first?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Got a question for You...How Much Data Do You Need For Data Science and AI?
How much data do you need to effectively do data science and machine learning? The answer to this question depends on what it is you’re trying to do. Are you doing a simple analysis, some exploration to see what you might learn? Are you trying to build a model...Stop Hating Vanity Metrics in Marketing Analytics
Without fail at nearly every marketing conference, someone rails against vanity metrics. Stop measuring them. They don’t matter. They’re the devil. Variations on those themes. So let’s clear the air a bit, because just as some people put too much importance and...Marketing Data Science: Introduction to Data Blending
One of the truths we don’t talk about nearly enough in marketing data science is the need to blend data. There are very few data sources that are a single source of truth by themselves, that need no augmentation or supplementation to provide maximum value. Even...Why Do I Love Data So Much?
Kate asks, “Why do you have such a fixation on data?” This is a more interesting, philosophical question than it might first appear. Yes, I emphasize data a great deal in my work; my company, Trust Insights, is rooted in data-driven marketing. But where...AI for Marketers Book
In this all-new, completely-rewritten Third 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
