Pharmacist

AI Moderation in Pharma: IDIs with B2B Healthcare Experts in Days

When a new pain relief product sees a slower-than-expected start, there’s no time to wait for traditional research cycles. For large OTC and personal care manufacturer, a global leader in consumer health, every day counted — especially with advertising already in full swing.

This case study explores how an OTC brand responded to early sales pressure with speed and precision. Using an AI-powered research tool yasna.ai, they engaged both consumers and the notoriously hard-to-reach pharmaceutical technical assistants (PTAs) in just 10 days — a timeline that would normally take at least six weeks.

Synthetic Data Panel at ESOMAR Congress

AI and Synthetic Data Dominate ESOMAR Congress in Athens

Last week saw over 1000 insight and market researchers from 78 countries gather in Athens for ESOMAR’s Annual Congress. With three stages and a host of side events, the range of topics discussed was immense, but one theme stood out above all the rest and that was AI. One aspect of AI in particular was widely discussed, reviewed and commented on – namely Synthetic Data.

Image to convey Synthetic Data

Is weighting a form of synthetic data?

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.

Image implying the creation of synthetic data

Synthetic Data –an Overview, a Taxonomy & some FAQs

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.

Smiley image generated by ChatGPT

The State of Insights – February 2024 – An Automated Summary

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?”

Word Cloud showing the things insight professionals are positive about

The State of Insights – February 2024 – a Word Cloud approach

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

Predictions and Prescriptions for 2024

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 Report - Insight Health September 2023

The State of Insights – September 2023

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.