This post is not a discussion of tech; it is a comment on strategy. Your organisation’s decision about the sort of AI companies it will depend on could have enormous consequences. This is the story of a company that, like Icarus, flew high but fell to earth, and the many customers whose AI plans were disrupted.
Microsoft have just published a study that predicts the 40 jobs most likely to be disrupted by AI – and Market Research Analysts and Data Scientists are both on their list (see more at Fortune). The Microsoft study is based on analysing 200,000 conversations with Bing. Microsoft examined the questions AI was asked and the instances where it was successful.
ChatGPT’s new Agent Mode is another major leap forward in how AI is advancing, especially in the field of Agentic computing. It also represents a significantly increased risk level. In this post, I outline what Agent Mode is, the associated risks, and provide a simple example.
This is another post looking at the hot topic of Agents, building on the post from yesterday that created a Data Checking Agent. Today, I am looking at the combination of Instructions and Knowledge to create a more powerful Agent. Specifically, I will upload an Online Consumer Questionnaire House Style document and create a set of instructions to accompany it. For this example, I am going to use Copilot, but any LLM that allows agents to use Instructions and Knowledge would be suitable.
Agents are one of the key AI developments that is re-shaping the way we conduct business and processes. An agent is a software tool capable of tackling a task without user supervision. In this post, I will illustrate agents with an example that takes data (for example, from a quantitative survey).
In today’s Tip, I am going to show you how you can upload a data file to Claude and instantly create an interactive dashboard.
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.
Ray Poynter, 28 June 2025 With Noriko Kishida (Japan), Tomoko Yoshida (Japan), Dangjaithawin (Orm) Anantachai (Thailand), and Seyo Adeoye (Nigeria), we have created a discussion and note relating to an experiment we ran earlier this year, examining the interaction between […]
You should not use standard t-test testing with synthetically boosted data. In this post I explain why and list three alternatives.
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