This article is part of an occasional series from leading voices about key issues facing marketing today.
Here's a quick reality-check for the next artificial intelligence (AI) pitch you hear: Ask what the company's solution optimizes for. If the answer is along the lines of "anything you need," that should raise a red flag.
I began working with AI as a teenager, taught in the field at Harvard and MIT, and wrote books on the subject. Breakthroughs in the field since I wrote my first book at age 16, How to Build a Computer-Controlled Robot, have been extraordinary. In many ways, our present is a version of the future described in the science fiction novels I read as a kid.
But innovation never moves at the pace of fiction. And reading today's breathless headlines about how AI will completely transform marketing and advertising overnight makes me worry that advertisers are being taken for a ride.
So, let's put aside the fiction and focus on the facts that matter to the industry today.
I keep hearing about AI, machine-learning and deep-learning. Explain.
AI began with the idea of programming a machine to demonstrate intelligence. Today, AI has become the umbrella term for many kinds of algorithm-based solutions to finding patterns in data. For example, you could write an algorithm that describes the features of a cat and then program a machine to recognize cats.
Take the first step (it's free).
You may also like:
- How to Nail Positioning, Messaging, and Change Management: Matt Desmier on Marketing Smarts [Podcast]
- Three Steps to Amplify Your Brand Message Beyond the Walls of Your Event
- How to Create a Customer Journey Map to Optimize Your Campaigns
- Ready for 2019 Holiday Season E-Commerce? It's Almost Time... [Infographic]
- Mat Sweezey's List of 103 Marketing Thought Leaders, by Category [Opinion]