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About this event...

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

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.