artificial intelligence in marketing

There are a lot of great books about how AI is going to change our work and our lives. Picking up at least one of them is advised. Why? Because each one on our top reads list gives you a full appreciation for just how powerful and transformative AI is going to be. Once you understand that, you’ll likely be much more motivated to complete longer courses and dive into pilot use cases. See below some of the books that helped us better understand and apply artificial intelligence in marketing.

Do you rely on social media to build an audience, drive engagement with your brand and content, and convert prospects into leads or sales? If so, you need to be considering how artificial intelligence can dramatically increase the revenues you bring in from social, while reducing the costs of social media creation and management.

Do you rely on SEO to attract and convert relevant traffic to your content and website? If so, you need to be considering how artificial intelligence can significantly increase the revenue you bring in from search-related marketing activities and reduce the costs of those activities.

You see chatbots everywhere. But you probably don't realize that today's chatbots barely scratch the surface of what's possible.

There are a ton of ways to get started learning about artificial intelligence thanks to massive open online courses (MOOCs). You may have heard of popular MOOC providers like Udemy, Coursera, and edX. These providers offer some courses on artificial intelligence that go much deeper on the subject than your average article or video. In fact, some are part-time courses of study that require several hours per week to complete. These courses are often taught by top AI researchers or experts, but cost far less than a typical university course.

The field of artificial intelligence (AI) is comprised of many disciplines, technologies and subfields. There are dozens of terms that are used to describe AI technologies, and the definitions can be complex and confusing. A large part of our focus with the Marketing Artificial Intelligence Institute is to make AI more approachable to marketers, so we thought a post about terminology was a logical place to start.