One of the surprises about the sudden and widespread interest in Synthetic Data is that it has forced us to revisit things we have been doing for decades. This revisiting of old practices is useful for framing where we think Synthetic Data should go and how it should be evaluated and regulated. In this post I explore why weighting is a form of synthetic data and what that means for researchers.
AI is a hot topic, and in the insight and research ecosystem, the hottest topic is Synthetic Data. In this post, I look at what Synthetic Data means, why it is such a hot topic, some of the key issues, and share some thoughts about Synthetic Data and its use.
In this post, I want to highlight one way that ChatGPT can help you be more efficient. In this example, I have taken a Focus Group Transcript from a published study and used ChatGPT to help speed up my analysis.
The third wave of the NewMR study looking at the state of insights has just closed its data collection and we have the views of 330 insight and research professionals from around the world. A few days ago, I shared a word cloud based on one part of the data. As the next step in looking at the data, I used ResearchWiseAI to produce an automated summary. This was achieved by loading a raw export of the 330 responses into the platform and I asked the following question “What is the state of optimism/pessimism in the research and insights world? What are the main things that researchers are positive about and worried about?”
In this post Ray Poynter shows how a a document can be uploaded to ChatGPT to create a Q&A tool to interrogate the document.
Over the last year, I have started using ChatGPT 4 to increase my productivity and efficiency, and I am keen to share some of what I have learned. In this post, I highlight why and how I use ChatGPT4 as a better way of searching for information. In future posts, I will highlight other ways I use ChatGPT to improve my productivity.
In September, NewMR conducted a study with research and insight professionals to understand the state of research and insights. We will be writing a report on this study next week and sharing the results, but this week we have been experimenting with the data. On Monday and Tuesday, I presented sneak peeks of the study, looking at what insight professionals thought were the main positives and the main negatives of the research industry. Today, I want to share a summary of the data generated 100% via AI using a tool called ResearchWiseAI.
One way to use ChatGPT is to check your questionnaire design by asking ChatGPT to generate a questionnaire. In the example below, I have asked ChatGPT to show me the most important demographic questions to include in a
I wanted to check out ChatGPT4’s story writing. So, here is a quick experiment. First, I write a short story about a dystopian future based on AI and market research. Then, I asked ChatGPT4 to improve it. Below are both stories.
At every event I go to, I hear, at some stage in the discussion, ‘Will AI steal our jobs?” So, here are my thoughts about that question and my views on the prospects for people working in the insights and research industry.
Well, the short answer is yes, but maybe not before you change role, retire, or retrain.
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