AI Use Cases in Research & Analytics

When industry insiders spin their yarns about “the chatbot that wrote my survey” or “the LLM that could read human emotions,” how often do they weave them together into a clear picture of how AI changed their insight workflows and drove them to higher levels of accomplishment?

Some technologies fundamentally transform the workflow. AI-enabled research and insights platforms that sit inside or across the research lifecycle reduce manual effort, tighten quality controls, and speed up analysis-to-output with humans not only in the loop, but outside it, controlling it. 

We’ll look at where AI best fits and what to ask from it before placing more trust in it, reviewing solution types from copilots embedded in familiar research platforms to agentic orchestration layers to VoC/social intelligence with GenAI synthesis, and more. We’ll review features like:

• Anomaly or key driver detection
• Explainability & audit trails
• Multi-modal analysis (text, audio, video)
• AI persona simulations

Learn not only about how AI fits into a general workflow, but how you can control it to fit your workflow and meet your objectives.

Who should attend?

• Insights, MR, and analytics leaders evaluating whether to standardize AI workflows
• Research ops/program owners responsible for quality, compliance, and repeatable delivery
• Research practitioners who already run surveys, qual, VoC, or trackers
• CX, product, and marketing teams that need faster synthesis