26. "It’s a language model, stupid". How marketing should and shouldn’t use AI.
In this episode of the Unicorny podcast, Dom Hawes talk to Steven Millman, Global Head of Research and Data Science at Dynata.
The conversation focuses on the practical applications of AI in marketing and market research, including customer targeting, personalisation, and campaign optimisation.
Steven and Dom discuss recommendation systems, AI as a service vendors, and the future trends of AI in various industries. They touch on the importance of ethics, team dynamics, and the environmental impact of AI.
If you're interested in learning about the benefits and challenges of AI, as well as its potential impact on society, this episode is a must-listen. So, grab your earbuds and get ready to learn!
This episode is sponsored by Selbey Anderson.
About Steven Millman
Executive, Award-Winning Researcher/Data Scientist, Innovator, Inventor & Coffee Snob. Throughout my career I have had a focus on quantitative/statistical analysis, survey design, research design, AI/ML, and other applied research techniques. I am presently serving as Global Head of Research and Data Science at Dynata, the world's sixth largest market research company where I lead a team of over 100 researchers and data scientists. I am a frequent speaker and author, multiple Ogilvy award winner, patent holder, and recipient of the prestigious Chairman's Prize from the Publishing & Data Research Forum. Steven serves as a member of the Board of Trustees for the Advertising Research Foundation, the ARF.
Links
Full show notes: Unicorny.co.uk
LinkedIn: Steven Millman | Dom Hawes
Websites: Dynata |
Timestamped summary of this episode
00:01:23 - Cutting Edge Applications
00:04:13 - What is a Walled Garden?
00:08:12 - Benefits of Walled Gardens
00:10:56 - Leveraging AI Applications
00:13:51 - The Importance of Data Ownership and Walled Gardens
00:14:46 - Practical Applications of AI in Marketing
00:18:39 - AI for Optimizing Customer Revenue Conversions
00:19:45 - DriverTagsTM and Emotional Response
00:23:02 - AI in Predictive Analytics and Marketing Automation
00:27:36 - Privacy and Ethical Considerations
00:28:05 - DevOps Approach
00:28:49 - Celebrating Progress
00:29:23 - Future Trends
00:33:15 - Regulation and Transparency
00:36:15 – Further thinking
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