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RSVP on Luma: https://luma.com/pfciee9d
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Use AI as a research and analysis co-pilot to process information faster and sharpen your strategic thinking. This session covers how to structure AI-assisted research for markets, products, and strategy so you get useful outputs you can trust.
What you’ll experience / walk away with

  • ​Best practices for using AI to scan reports, articles, and datasets, and extract only the insights that matter.
  • ​Methods to use AI for scenario analysis, hypothesis testing, and synthesizing complex inputs into clear recommendations.
  • ​A practical checklist for making AI-generated analysis more reliable, transparent, and defensible to your team and investors.

Who should attend
Startup founders and operators who regularly research markets, investors, or product decisions and want to cut research time while improving the quality of their thinking.

About Danny Setiawan
​​​Danny Setiawan is an expert in AI integration and fundraising strategy for early-stage startups. He has coached over 200 founders through successful product development and capital raises, combining real-world business experience with hands-on, practical training. Danny has led workshops for Fortune 500 companies like PwC and Kimberly-Clark and teaches at General Assembly. He is passionate about helping founders use AI to fundraise smarter and faster.

## ​​​About Stifel

​​​Stifel Financial Corp. (NYSE: SF) is a diversified global wealth management, investment bank, and commercial banking institution with $500B in AUM. Stifel Bank, Member FDIC, provides venture and fund banking solutions to venture capital-backed companies and their investors. Backed by the strength and legacy of Stifel, the Bank delivers tailored banking, treasury management, and lending solutions - working closely with Stifel’s Investment Banking and Wealth Management teams to meet the diverse asset management needs of companies and individuals.
​​​To learn more, visit: https://stifelventurebanking.com/

Related topics

Artificial Intelligence
Artificial Intelligence Applications
Productivity

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