Date: November 19, 2025 | 12 p.m. ET | Free
Presenter: Mary Lois Smith, VP, Market Researcher, Suzy
Duration: 1 hour
Description: Instead of replacing human researchers, AI is becoming a collaborator – a co-pilot that boosts scale, speed and creativity. In this session, we’ll discuss how to enable a symbiotic researcher + AI workflow, where the best of both worlds come together. In this presentation, we will discuss:
- Role redefinition: how research & AI complement, conflict and co-evolve.
- Collaboration patterns: suggestion, validation, override, meta-coaching.
- Scenario walkthrough: researcher + AI optimizing study design, coding, insight generation.
- Metrics to track co-pilot success (e.g. human effort saved, insight lift, adoption).
Outcomes:
- Identify practical ways to collaborate with AI across the research workflow, from study design to synthesis.
- Apply new frameworks for measuring the value of AI augmentation (e.g., productivity, quality, adoption).
- Adopt strategies for elevating their role as decision partners, leveraging AI to focus more on interpretation, storytelling, and business impact.
Presenter: Mary Lois Smith, VP, Market Researcher
Bio: Mary Lois (ML) Smith is a seasoned consumer insights leader with over a decade of experience turning questions into actionable strategy. A former Dynata veteran with experience spanning diverse industries and global brands, ML brings a unique blend of rigor, creativity, and audience fluency to every challenge.
At the forefront of innovation in research, ML is a passionate AI Insights Architect — spearheading the integration of artificial intelligence into the research process to unlock new levels of speed, depth, and strategic clarity. Her work bridges traditional methodologies with AI-powered tools to elevate how businesses understand and respond to consumers in real-time.
Whether designing high-impact studies, exploring untapped opportunities, or partnering across cross-functional teams, ML is known for making insights resonate—and for helping teams move from data to decision with confidence.