What Is Agentic Research? How AI Fuels Innovation and Discovery
AI Summary
Summary of ‘What Is Agentic Research? How AI Fuels Innovation and Discovery’
- Introduction to Agentic Research:
- Importance of agentic systems across industries.
- AI agents significantly reduce research time compared to human efforts.
- Stanford University Example:
- Introduction of STORM, a multi-agentic system that conducts research and generates Wikipedia pages in minutes.
- Understanding Research:
- Origin of the word “research” (Old French) meaning to seek or search.
- Research begins with questions and often involves simple to complex inquiries.
- Complex Research Questions:
- Example of a lawyer’s complex query requiring multi-step reasoning and legal analysis.
- Process of Research:
- Defining objectives, planning, gathering data, refining insights, and generating answers.
- Role of AI in Research:
- Multi-agent systems mimic human research processes by defining objectives, breaking tasks into steps, gathering data, and synthesizing findings.
- Emphasis on iterative, contextual research that builds on prior knowledge.
- Future of Research:
- Integration of humans and AI in research is essential for augmenting capabilities rather than replacing them.
- Encouragement for data scientists and researchers to explore agentic research frameworks.
- Conclusion:
- Offloading routine research tasks to AI allows more time for innovation, experimentation, and decision-making.
Video Details:
- Title: What Is Agentic Research? How AI Fuels Innovation and Discovery
- Channel: IBM Technology
- Published: April 10, 2025
- Views: 10,553
- Likes: 389
- Comments: 20
- Watch here: Video Link