A Guide to Marketing Technology and CX

Design has evolved significantly over the years, moving beyond just visual appeal to focus on solving problems and creating meaningful experiences for customers.

Today we’re going to talk about keeping up with AI in marketing, what leaders and companies should be doing to stay ahead, and the future role of AI in marketing teams. To help me discuss these topics, I’d like to welcome Cathy McPhillips, Chief Growth Officer, Marketing AI Institute which, among other things, produces the annual MAICON event, which this year will be taking place in Cleveland Ohio on September 10-12.

One of the key ways that businesses are transforming customer research is through the use of artificial intelligence (AI). AI has revolutionized the way businesses gather, analyze, and interpret customer data, enabling them to make more informed decisions and drive innovation in their products and services.

Defining clear goals is crucial when incorporating AI into marketing strategies. Organizations need to have a clear understanding of what they want to achieve with AI technology.

When consumers can get what they want, whenever, however, and wherever they want, simplifying and optimizing e-commerce operations is key to success. Joining us today is Jorrit Steinz, Founder & CEO of ChannelEngine, who has built a platform that helps retailers manage their online sales channels more effectively.

Does #quantumcomputing sound like science fiction to you? What if I told you that you could design, optimize, execute, and analyze quantum algorithms today? Welcome to One Amazing About Classiq. Today, host Greg Kihlstrom welcomes Erik Garcell, PhD, Head of Technical Marketing at Classiq Technologies to the show and he will be sharing one amazing thing with us today: how they have democratized #quantum computing so anyone can access this incredibly powerful tool.

Collaboration is key in the world of marketing. By working together as a team, marketers can leverage different perspectives, skills, and experiences to generate faster insights and drive better results. In the podcast transcript, the speaker emphasizes the importance of having group conversations and shedding light on individual limitations to avoid biases and blind spots in data analysis.

AI adoption in sensitive industries, such as banks and insurance companies, presents a unique set of challenges and opportunities. These organizations deal with highly sensitive customer data, financial information, and health records, making privacy and security top priorities.