NewMR recently had the pleasure of hosting Liubov Ruchinskaya, Head of Strategy Analytics and Consumer Planning at Diageo Northern Europe, for a deep dive into the evolving world of insights. With over 22 years in the industry, including extensive experience on both the agency and client sides, Liubov shared invaluable perspectives on the challenges and opportunities shaping our industry. This interview is a must-listen for anyone in the insights, analytics, or marketing industries.

After more than 40 years in the research and insights world, I thought I had fine-tuned my approach to finding the story in the data. Indeed, I have been teaching courses on story finding for over 20 years. However, the rise of Generative AI has caused me to redesign my methods and to adopt an AI-enhanced Socratic Method.

Are you using Notebook LM yet? If not, I think you should be using it; it is frankly quite mind-blowing. To illustrate the power of Notebook LM I took the YouTube link for my presentation “How should you plan for AI and its impact on you?” from the April NewMR AI Webinar and uploaded it to Notebook LM.

Earlier this week, I discussed the use of Digital Twins in research; you can read that post here. Today, I am sharing a concept piece that illustrates one approach to Digital Twins, using ChatGPT.

Over the last year, there has been a growing interest in Digital Twins, which are virtual participants based on real individuals. In this note, I will outline what is happening, why it is happening, and share some key concerns that need to be considered.

Currently, I am spending four weeks in Japan, a mix of work, including workshops and presentations, and leisure activities (such as hiking and running). Today I checked into an AirBNB in central Tokyo and washed some clothes, after spending the weekend running a marathon on the West coast of Japan. The apartment is tiny, so I hung the clothes in the combined bedroom and living room. I have some standard photos I use to demonstrate using ChatGPT for qual, but I thought I would add a new one, so I took the photo below and asked ChatGPT to analyse it.

One key variable that differentiates one large-language model (LLM) from another is the size of its context window. In this post, I explain what a context window is and why it matters.