Simulated conversations vs fully synthetic data
Here’s how our STRAT7 segment chatbot uses real data as best practice to leverage AI tools. Welcome to our third blog on STRAT7’s new AI product – our segment chatbot. At our recent STRAT7 client event in London, the push and pull of synthetic data was a common thread in the presentations. The allure of getting […]
A chatbot with principles
The three features in STRAT7’s segment chatbot that eliminate key problems in the use of GenAI in market research. Welcome to our second blog on STRAT7’s new AI product – our segment chatbot. To coin a phrase, many AI applications today have a ‘tourist’ problem. They look good on demonstrations and use the usual buzzwords. […]
How a CEO can get closer to their customers
Our STRAT7 segment chatbot lets anyone in your company talk to your customers – at any time. Welcome to our five-part blog series on STRAT7’s new AI product – our segment chatbot. It’s 2024, so everyone is talking about AI chatbots. And to them. While tools like ChatGPT, Gemini and Claude are now part and […]
Generative AI for insight directors: A strategic checklist
As a global strategic insights group, we’ve witnessed the incredible potential of generative AI to unlock new possibilities for our clients. But to maximise this potential, a strategic and thoughtful approach is essential. This checklist provides a comprehensive guide to strategically and responsibly investing in generative AI. It draws on valuable insights from our own […]
Demystifying consumer motivations and building a cohesive product portfolio
Zurich Insurance Group (Zurich) is a leading multi-line insurer, serving commercial and retail customers in more than 210 countries and territories.
AI in strategic insights: 7 myths vs realities
Over the past year or so, the evolution of generative Al has drummed up both fear and excitement in equal measures. One thing is certain – it has already completely transformed how we gather, analyse and act on insight.
AI Myth #5: AI is limited in delivering customer centricity
A lingering misconception, often voiced by marketing and insight teams, is that AI struggles to deliver on the promise of customer centricity. In fact, in our experience, the opposite is true – AI propels us closer to the heart of customer needs and preferences. In the final blog in our AI myth series, we explore […]
AI Myth #4: AI can’t quantify challenges and opportunities at scale
If you missed our last blog, which looked at the perceived lack of representativeness in online data, you can read it here. Next up in our blog series on AI myths, we address the common misconception that traditional quantitative methods are the sole route to meaningful insights. While obviously valuable, these approaches can overlook AI’s […]
AI Myth #3: Generative AI can never be representative
Previously, we explored the power of human-AI collaboration in market research, highlighting how AI augments our capabilities rather than replacing them. This time, we’re tackling a common concern, the perceived lack of representativeness in online data. Generative AI isn’t representative, but AI can be While generic generative AI tools might struggle with representativeness, bespoke and […]
AI Myth #2: Humans are better but AI will still replace me!
In our previous blog, we debunked AI Myth #1: AI is a distraction – by showcasing the undeniable impact generative AI is having on the way that we gather, analyse and utilise insight. Nonetheless, like any disruptive technology, AI brings a degree of uncertainty. Initial reactions often range from scepticism, with some asserting “AI isn’t […]
