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Speakers
Deirdre Thomas
Chief Product Officer, Dynata
Alain Briancon, Phd
Vice President of Research u0026amp; Data Science, Dynata
Lessons Learned: Applying Machine Learning, Generative, and Conversational AI to improve key aspects of survey data collection
Thursday 16th October at 9 am SGT (Singapore) / HK (Hong Kong), 12 pm AEDT (Sydney), 2 pm NZDT (New Zealand)
Artificial Intelligence (AI) is no longer just a tool—it’s a strategic imperative. At Dynata, we believe AI success is 80% data quality and 20% using that data effectively. With unmatched access to high-quality first-party data, we’re building AI applications that elevate decision-making for our clients.
In this session, we’ll explore how we apply Machine Learning, Generative AI, and Conversational AI to improve every stage of research execution. You’ll see real-world examples—from ensuring data quality at scale, to driving respondent engagement with AI-powered targeting, to enabling richer insights through in-survey chat.
We’ll also look ahead to the AI-powered future of market research, including:
- Predictive feasibility and automated scoping in study preparation
- GenAI-assisted question creation
- Dropout prediction and adaptive routing during fielding
Key Takeaways:
- Learn how AI is enhancing market research
- Understand the practical applications of synthetic data and where it can be applied (and where it can’t)
- Real-world examples you can apply to improve research efficiency and impact