Naming in an AI Age

In this transcript, Mike Carr interviews Jian Huang, a computer science professor and founder of Mapprio, about the impact of AI on market research and name testing. Huang explains that while AI, particularly data-intensive AI like ChatGPT, can read and remember vast amounts of information, it is still limited by the data it has been trained on. In the context of market research, Huang believes that AI can be a productivity boost but not a replacement for human researchers. He emphasizes the importance of human thinking and perspective in these tasks. Huang also discusses the limitations of AI in generating original and compelling content, as well as the challenges of creating synthetic respondents. He believes that data analysis tools can help researchers extract more value from data and plans to continue developing such tools through Mapprio.

In this episode, Mike Carr interviews Jian Huang, a professor from the University of Tennessee and the founder of research company Mapprio. They discuss the importance of name testing and research in the AI world. Jian explains that his platform focuses on understanding human data and uses social psychology to gather authentic data efficiently. They also discuss the concept of system one thinking, which involves intuitive and reactionary responses to names, as opposed to system two thinking, which is more logical and analytical. Jian's platform allows for micro-segmentation and analysis of name testing data, taking into account factors such as order of name selection and latency. They also discuss the importance of considering different demographics and segments when conducting name testing and research.

In this podcast episode, Megan Dzialo and Mike Carr discuss the impact of AI on creative agencies and the findings of a Harvard Business Review paper titled "Navigating the Jagged Technological Frontier Field: Experimental Evidence of the Effects of AI on Knowledge Workers' Productivity and Quality."
They discuss the concept of the "jagged technological frontier" and the effects of AI on work productivity and quality. The paper reveals that AI has shown improvements in performance, particularly for less experienced consultants, but has a lesser impact on more senior consultants.
They also discuss the different approaches to using AI, such as the "centaur" approach of using AI for specific tasks and the "cyborg" approach of integrating AI into everyday thinking and tasks.
They highlight the potential benefits of using AI in the naming and branding process, such as generating name ideas and conducting research. They also mention the potential of AI in logo development and name testing.
They encourage small businesses and creative agencies to start exploring AI by using tools like OpenAI's ChatGPT for research and ideation. They also mention the importance of being cautious and verifying AI-generated results.

Here's a chance to meet some other members of the NameStormers team! Introducing our resident millennials- Megan Dzialo and Ashley Elliott. Join Adelaide, Megan, and Ashley as they dive into the marketing and branding perspectives of the millennial generation compared to Generation Z. What does it take for a name or brand to sway the purchasing power of these target markets? Listen in for insight from these consumers and namers!

In this episode, Megan Dzialo and Mike Carr discuss the complexity and complications of naming. They highlight the importance of considering various factors such as target audience, budget, and cultural sensitivities when choosing a name. They also discuss the difference between complexity and complication, with complexity referring to the multidimensional and ever-changing nature of naming, and complication referring to the linear but intricate process of naming. They provide examples of past naming projects and how certain names may not be suitable in today's cultural and linguistic landscape. Overall, they emphasize the need for a thoughtful and strategic approach to naming that takes into account the specific goals and context of each project.