Agentic & Conversational AI for Research

• Agentic & conversational AI technology overview
• Types of solutions
• Key features
• Next frontiers
• Other considerations when shopping for technology

With Recollective’s Conversational AI, participants get to engage in dynamic, back-and-forth discussions—while you stay focused on uncovering insights.

In this session, Dana Cassady will walk through real-world scenarios to show how Conversational AI can:

• Nudge participants to open up and reveal the “why” behind their answers
• Spark richer stories that translate into business impact
• Turn conversations into insights you can actually do something with

Meet the AI agent helping researchers focus on thinking, not filtering.
Gone are the days spent wading through participant responses, irrelevant data, and unanswered questions. With Bulbshare’s moderation agent, researchers can get to the why faster: AI now moderates, filters, and summarises responses, conversational AI probes deeper in real time within surveys, and predictive agents guide question flow—turning hours of manual work into actionable insight in minutes.

Understanding customers at scale requires more than charts and dashboards. In this tech showcase, we introduce Caplena’s Insight Agent — an AI analyst designed to actively discover insights in customer and brand data.

See how the Insight Agent explores feedback from trackers, ad-hoc studies, and ongoing research to uncover emerging themes, experience drivers, and sentiment patterns in real time. Instead of manually coding or building queries, simply ask questions and watch the agent surface the answers — from journey friction and product signals to brand perception and segment-level performance.

Designed for CX, brand, and research teams as well as agencies, Caplena accelerates insight discovery, supports hypothesis testing, and scales analysis across projects and clients. Interactive exploration, transparent source links, and executive-ready visualizations ensure every finding is explainable, shareable, and ready to drive decisions.

Join this session to see how AI agents are redefining how insights are discovered — and how customer data becomes strategic intelligence.

Innovation success is often determined long before concepts are validated or products are launched — at the Discovery stage. Yet Discovery is also where uncertainty is highest, and traditional qualitative research often becomes a bottleneck rather than an enabler.

In this session, we’ll explore why Discovery remains one of the highest-risk phases of New Product Development, and how Yasna can support teams at this stage. 

We will introduce a new, iterative approach to Discovery. Built on a model that combines AI-moderated conversational research with expert human interpretation, this framework enables teams to generate deep qualitative insight at speed, at scale, and with consistency across markets.

We will cover:

• When and why Discovery risk increases.
• How structured, iterative Discovery reduces late-stage failure and increases decision confidence.
• How AI-moderated research with Yasna supports Discovery, from exploration to validated concepts.