Over the years marketers have come to rely on many different types of technology to perform a wide range of tasks, from collecting customer data to communicating with customers, from creating and distributing content to identifying and nurturing leads, tracking campaign success, and much more.
Now, with the introduction of generative artificial intelligence technologies like OpenAI’s ChatGPT, Google’s Bard, IBM’s WatsonX, and Salesforce’s Einstein GPT, the use of technology is exploding even more rapidly in the marketing realm, having a ripple effect. Continue reading “Tips for Adding GenAI to Your Martech Stack”
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I was an early adopter of GenAI and have been experimenting with its various tools since they first became available for consumer use. And I’ve found them to be very helpful for a number of things. In fact, I usually have at least two or three tools open on my desktop that I refer to throughout the day. 
Generative AI (ChatGPT is one popular example) holds a lot of promise for researchers and content creators of all kinds, but it may also pose some risks that have not yet been fully explored, such as the risk of copyright infringement. As an AI tool crawls the internet and digital sources for information to respond to users’ queries, the information that’s pulled often belongs to other content creators. What risks does that have for those relying on this information—sometimes verbatim—especially when it might be inaccurate? Here we take a look at written content generated by AI and the implications content creators need to be aware of. 
If you’re involved in content creation or management and you haven’t heard of ChatGPT by now, you must be living under a rock. ChatGPT is a form of generative AI—“a type of artificial intelligence technology that can produce various types of content including text, imagery, audio and synthetic data,” according to George Lawton in an article from