As budgets tighten and AI accelerates product cycles, the insights industry faces a crisis: evolve or be bypassed. Digital twins and synthetic audiences offer speed and scale, but they risk automating bias if trained on flawed data. Can we maintain human truth at machine velocity? Join our panel to discuss the ethics, governance, and future of research in an AI-driven world.
Key Takeaways:
1. Research must match AI’s speed to remain relevant in shrinking decision cycles.
2. What a "hybrid future" means for the research industry: the pros and the cons.
3. The new frameworks and guardrails needed to balance machine efficiency with human authenticity.
