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Synthetic Sample

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Friday, Mar 29th at 1:00 PM ET

Watch on Demand

Introductory Presentation by Greenbook + Tech Demos with Live Q&A

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Acquiring the right sample for your surveys or qualitatives has always been a costly, time-consuming, and inexact process. With the industry’s growing concerns about sample quality, availability, and fraud, these drawbacks are more exacerbated than ever, plus stakeholder confidence in sample-based research may be in jeopardy.

What if you could acquire sample that fits your exact requirements, devoid of fraud and human-errors, requires no cleaning, and produces results in practically no time for a small fraction of the cost? Advances in AI make this possible via synthetic sample; quantitative or qualitative responses generated from an artificial population engineered to precisely match your target. Before you say it’s too good to be true, consider the long history and routine use of simulations in market research as well as scientific research. Is it so far-fetched to think we can simulate data as well as results if we consider the data to be a result? 

Join us on Friday, March 29th, to see how synthetic sample can help you save time and money, increase research project throughput, improve quality, and bolster stakeholder confidence in sample-based research!

You’ll also learn about the role synthetic sample can play in protecting privacy and complying with regulations. 

If you buy sample, manage projects that rely on sample, or use insights that were developed from sample-based research, this showcase is for you. If you are a skeptic, listen to how the strongest advocates address your concerns. If sample and panels are a key part of your revenue stream, you definitely need to attend this showcase to learn more about the opportunities and risks for your business.

Agenda

Synthetic Sample 101

Class

presented on March 29, 2024

Join us as we delve into the evolving landscape of AI-enabled synthetic data. In this session, we'll navigate through the historical context of synthetic data, from its inception decades ago to its current prominence in addressing modern data challenges. Explore how recent advancements in generative AI are revolutionizing the creation of synthetic populations that mimic human characteristics and respond dynamically to queries. Discover the potential of synthetic samples in supplementing sparse human data, reducing biases, democratizing data sharing, and accelerating insights delivery. Gain insights into various use cases, from market research to healthcare and financial services, and learn about tools and services offered by insights technology providers. Whether you're curious about the benefits, potential pitfalls, or integration strategies, this session will provide valuable perspectives to help you navigate the complexities of synthetic sample adoption.

Panoplai
Glimpse: Revolutionizing Research with Generative AI

Demo

presented on March 29, 2024

Glimpse is the only platform that infuses the power of generative AI into every stage of the research, analysis, insights, and content creation process.  That’s why Adweek says Glimpse’s approach is “changing the business of marketing.” With Glimpse you can also extract value from any source of data, from surveys to NPS, social chatter to customer reviews.  Examples of what you’ll see at the demo: Chat with an AI customer–on-demand Have an ongoing conversation with the personas that matter most to your organization. Glimpse layers in the power of leading Large Language Models (LLMs), demographic and firmographic data points, and unique, first party data to custom generate the right conversation partner. Chat with your data Now you can ask your entire dataset questions in simple English. What are the most important trends, opportunities, and challenges?  Augment your data Use the power of generative AI to ask additional questions. Or add more depth to your existing dataset.

Fairgen
Fairgen: Boost Under-Sampled Survey Data with AI

Demo

presented on March 29, 2024

Learn how you can use state-of-the-art synthetic data technology to generate “booster samples” that double the effective sample size of underrepresented niches, without having to go back to the field - See a live demo of FairBoost™ and the process of generating synthetic respondents - Understand under what bounds AI can reliably boost real data and double its effective sample size - Explore the scientific validation process and best practices for governing AI at scale

PersonaPanels
PersonaPanels: KnowNow- Revolutionizing Message Testing with Synthetic Respondents

Demo

presented on March 29, 2024

This presentation introduces PersonaPanels' innovative Synthetic Respondents and the KnowNow message testing system, revolutionizing text-based message testing for various contexts like concepts, advertising, web content, and newsletters.  Unlike other methods prone to delays, high costs, and biases, the KnowNow system delivers instant, secure results.  Synthetic Respondent segments, crafted from extensive human segmentation data, dynamically update 24/7 via continuously curated internet-scraped content, ensuring up-to-the-minute insights without exposure to external models like ChatGPT.  This discussion will delve into Synthetic Respondent construction and maintenance, showcasing the unparalleled advantages of the KnowNow system.

Key Takeaways

Cost, Throughput, and Quality

Learn how synthetic sample stacks up against human sample and how it can improve the performance of your research or insights group.

Ethical and Less Biased

Advocates of synthetic sample tout how it helps you avoid running afoul of regulators and watchdogs and reduces bias in your research.

Synthetic Sample Use Cases

Which situations are more or less appropriate for synthetic sample? Can it completely replace human sample?

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