Is AI still a mystery shrouded in an aura of mystique?
Have you read report after report, article after article proclaiming its magical powers and wondered what exactly the big deal is?
With every software vendor and services provider proclaiming that they too are an AI-powered company, it’s more difficult to demystify artificial intelligence and its applications for marketers. What is AI? Why should you care? How does it apply to your business?
In the newly revised Third Edition of AI for Marketers, you’ll get the answers you’ve been looking for. With all-new practical examples, you’ll learn:
– Key marketing problems AI solves, such as:
– Attribution modeling
– Natural language processing for SEO and social media
– Influencer identification
– Detailed explanations of what it will take to successfully adopt AI for your marketing
– How to prepare your career for AI’s impact
– Ways your AI efforts will go wrong
– Prerequisites needed to help your AI efforts to succeed
If you own the Second Edition, the Third Edition has more examples (and frankly, better examples), plus all-new sections on bias, more details on the problems AI solves, and is 100% less stuffy to read.
Behind the Scenes
AI is one of those tricky topics to write about, because the moment you hit publish, chances are something’s out of date in the book. That said, many of the problems marketers face don’t change all that much. As marketers, we need to forecast more accurately. We need to know what’s working. We need to see who’s most influential in our industry. The AI solutions to these problems do change, but the way in which we solve them doesn’t change enough to avoid publishing a book about it.
When I got started on revising the Second Edition, I noticed something that was a little off-putting. The way I’d written it – the language I used – was so stuffy and uptight that I’m surprised the book didn’t implode under its own pretentiousness. Since the start of the pandemic, I’ve been doing much more creative writing, and going to back to re-read the Second Edition was painful. The biggest change, by far, in the Third Edition is that I wrote it as though you and I were having a conversation over a cup of coffee, rather than as someone presenting at a lectern in an academic setting.
The reality is, AI isn’t a magic wand. It’s closer to a spreadsheet than a genie lamp. And if we want people to adopt it, we have to make it feel as ordinary and familiar as a spreadsheet. My hope is that reading through the Third Edition takes a lot of the mystery away, so that you’re inspired to start your journey towards adopting AI.
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