artificial intelligence in marketing

Artificial intelligence (AI) is a broad term that refers to the process and result of teaching machines to perform intelligent tasks. “Artificial intelligence,” far from being just a branch of computer science, is an umbrella that covers many different fields and technologies, including machine learning, deep learning and the programming of neural networks. That means the field of AI is much more exciting than a simple definition. It also means that, for marketers and the public at large, the topic of AI is far more complex than most people realize. 

In related posts on AI talent for marketing, we’ve talked about how to define your perfect team (focus on specific use cases) as well as how to attract your perfect candidate (send the right message). The reality for many companies, however, is that AI talent is scarce, in high demand, and too expensive to acquire.

Businesses that provide outstanding digital experiences to their buyers are more than twice as likely to be chosen by consumers. But the reality is most B2B websites aren’t built for the customer-led, always-on digital experience buyers have come to expect. Conversations can be the new conversion. Conversational engagement is your quickest route to ROI. 

How are you evaluating your content to see what’s working and what’s not?  Engaging consumers with relevant content that matters to them is a great way to create meaningful connections and differentiate yourself from competitors.

Many marketers make mistakes when it comes to AI. That's natural: We've done it, too. It takes plenty of time to get comfortable with AI. But some mistakes are more costly than others. And these ones are the mistakes that take your organization down the wrong track when it comes to AI.

AI Academy for Marketers, an online education platform that helps you understand, pilot and scale artificial intelligence, is now live! This post is a deep-dive into everything you need to know about Academy. Let’s get started!