Current Challenges for Generative AI in Market Research: Part 2
On to Part 2! Here, we continue investigating some of the current challenges to the use of AI in market research as well as potential solutions.
Current Challenges for Generative AI in Market Research: Part 1
While generative AI has already shown great promise in market research, we must be honest about its current limitations. While extremely helpful to insights professionals in certain use cases, we still need to be aware of challenges posed and how they can be overcome.
The Complementary Roles of AI-Driven Qualitative Platforms and Quantitative Surveys
When addressing a business challenge, a mixed method research approach leads to more confident decision making.
“Strange Loops” in Generative AI and Human Cognition
At the crossroads of technology and philosophy, we find the concept of the "strange loop," a theory developed by Douglas Hofstadter, elucidating the paradoxical structures of self-referencing systems. When applied to the context of market research, this concept offers profound insights into not only AI research tools but also ourselves.
Predictive vs. Generative AI in Market Research
the recent conversation around “AI” tends to be about what is known as “generative AI.” The key feature of generative AI is that it turns input into content. However, what is “predictive AI” and how can both be used in market research?
The Benefits and Boundaries of AI in Market Research: An Introduction to Qualibee.ai
It’s hard to go on LinkedIn or check industry news these days without reading about AI in market research. But what does that actually mean, how is it currently being used, and how should it be used?