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.
NewMR has recently conducted its third wave of a study on the State of Insights, focusing on Optimism/Pessimism, the main Positives and Negatives. Here is a summary of the finding and a link to the full report.
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?”
The third wave of the NewMR study looking at the state of insights has just closed its data collection and we have the view of 330 insight and research professionals from around the world. In this post I used World Cloud Plus to have a first look at the responses.
2024 will be an exciting ride for the world of insights and research. But before I jump into what I think will happen, let’s address the caveats. Pandemics, wars, economic crashes, political instability, and climate catastrophes could all derail the probable world. In this post, I set out my predictions for 2024 and my prescriptions for some good actions to take, assuming that no black swan events happen.
NewMR produced the second wave of its study of optimism and pessimism in the insight and research ecosystem. Here are the top findings and a link to the full report.
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.
Yesterday, I shared a word cloud showing a summary of the main things that were worrying research and insight professionals. To balance the picture, this post looks at what researchers and insight professionals see as the positives, answering the question, “What are the most positive things about the insights and research world in 2023?”
In September, NewMR ran a study focusing on the research industry, looking at levels of optimism and pessimism, topics that were seen as positive and negative, and plans for the near future. This study will be analysed over the next week, and a report will be released shortly.
As a first step in conducting the analysis, I looked at a word cloud of the open-ended comments using NewMR’s Word Cloud Plus. The results are interesting and I thought I would share them as a teaser for the upcoming report.
We create standards, codes, checklists, and best practices to separate good research from poor research. However, unless we recognise the differences between the theoretical underpinnings of different research methods, we will likely do a bad job.
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