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 […]
AI – Myth #1 – AI is a distraction
The rapid evolution of generative AI in recent years has sparked a wave of excitement and apprehension in equal measures. One thing is undeniable though: it’s fundamentally changing how we gather, analyse, and utilise insights. As with any major disruption, separating fact from fiction is crucial. This blog series aims to do just that. We […]
Our journey to becoming pioneers in AI-driven strategy
In our new three-part blog series, Paul Jackson, Managing Director of Bonamy Finch, discusses how STRAT7 has leveraged its data science expertise and embraced generative AI to create game changing client solutions. Paul kicks off the series by outlining STRAT7’s AI journey and ethical approach to generative AI. Q: Can you tell us about the […]
Three principles for building bespoke AI solutions
In the final blog of our AI series, we share three fundamental principles for building AI solutions in a financially astute and agile way, drawing upon our experiences here at STRAT7, lessons learned, and the insights we’ve gathered along the way. In case you missed our last two blogs, we shared how STRAT7 is leveraging AI in […]
