From movies to markets, artificial intelligence (AI) is a hot topic. In the retail and marketing sector, the staff at PYMNTS reports, “Thanks to an abundance of consumer data at their fingertips, retailers have slowly and subtly begun rolling out applications for many sectors of the retail industry, everything from using AI to offer better product recommendations, to chatbots that can carry on an (almost) lifelike conversation with consumers and help push them toward checkout, to being utilized in image recognition systems.” When it comes to targeted marketing, one of AI’s most important capabilities is machine learning; especially when marketers are searching for new customers. Rick Delgado (@ricknotdelgado) explains, “Finding customers based on traditional marketing tactics is now old hat. Now, when it comes to finding customers, machine learning is the main attraction.”

Read more at Enterra.

Author Notes:

Jeffrey Henning

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Jeffrey Henning, IPC is a professionally certified researcher and has personally conducted over 1,400 survey research projects. Jeffrey is a member of the Insights Association and the American Association of Public Opinion Researchers. In 2012, he was the inaugural winner of the MRA’s Impact award, which “recognizes an industry professional, team or organization that has demonstrated tremendous vision, leadership, and innovation, within the past year, that has led to advances in the marketing research profession.” In 2022, the Insights Association named him an IPC Laureate. Before founding Researchscape in 2012, Jeffrey co-founded Perseus Development Corporation in 1993, which introduced the first web-survey software, and Vovici in 2006, which pioneered the enterprise-feedback management category. A 35-year veteran of the research industry, he began his career as an industry analyst for an Inc. 500 research firm.