artificial intelligence in marketing

In 2018, Lexus released what it called the first advertisement scripted by artificial intelligence.

Artificial intelligence solutions in marketing and other industries often have a problem: It is sometimes hard, or impossible, to explain why AI systems make the recommendations or predictions they do. It makes sense, if you think about it. Machine learning algorithms might use hundreds, thousands, or millions of factors to arrive at a single recommendation or prediction. It can be difficult to untangle just how the machine got to the outcome it did, even if that outcome seems ideal. But this poses problems for businesses. What happens if your amazing AI tool makes what looks like a great recommendation—but that recommendation ends up being bad for business? How do you explain to your boss, CEO, or the board why that particular recommendation over another was made?  It's a problem that AI-powered platform simMachines tries to solve with its explainable AI models. The models are used by marketers to do everything from customer lifecycle modeling to lead prioritization to A/B testing and measurement.  Just as important as their results, the models tell you the "why" behind every prediction and recommendation they make. We spoke with simMachines CMO Dave Irwin to learn more about the solution.

TED talks are a great place for AI insights and inspiration, as they feature people with a range of AI backgrounds and experiences. At the time of this writing, a search for “artificial intelligence” on the TED talks website turns up 311 results. In case you don’t have the time to watch them all, we compiled a list of our favorites.

No matter what content you write or what stories your brand tells, there’s a good chance a machine can help you do it better.

InsideSales.com recently released its State of Artificial Intelligence for Sales and Marketing 2018 Report. Based on responses from 600 business professionals, the report dives into what leaders need to know about the coming AI revolution. We’ve highlighted the three most important findings for marketers below, but download the full report for more information on what AI trends have leaders most concerned, most excited, and more.

Marketers have an AI problem.