One of the challenges with generative AI is minimizing “AI slop”, the mediocre and cliche-ridden outputs that are starting to flood the web. Instead, communicators should focus on creating content that stands out and engages and informs your audiences. And AI can help, provided you understand how to structure your conversation with a machine. In this lively talk, Martin Waxman discusses prompt engineering, demonstrates how it’s part art and part (computer) science, and shares several strategies you can use to improve the quality of your results.
Martin Waxman
Associate Director, Future of Marketing Institute, LinkedIn Learning Instructor
Martin Waxman, MCM, APR, writes a popular Digital Marketing Trends newsletter, delivers generative AI training workshops and conducts AI research. He’s a LinkedIn Learning instructor, adjunct professor at the York Schulich School of Business and associate director of the Future of Marketing Institute. Martin is also president of a consultancy, an instructor in the McMaster Master of Communications Management program and a member of the Institute for Public Relations Digital Media Research Center. Martin received the Institute for Public Relations Best Master’s Thesis Award in 2019, for his paper, “My BFF is a Chatbot” and the 2024 Thought Leader award from the Canadian Public Relations Society. He has a Master of Communications Management from McMaster-Syracuse Universities.