AI AMA: horror stories, wins, advice
AI that's not rooted in a business context... leads to hallucinations and nightmares...
Here's how to avoid that. I'll share AI wins, horror stories, and practical advice for start-ups in these "Ask Me Anything: AI" sessions.
Discussions will include:
What can go wrong when companies do "AI" wrong and make the news about it?
Who are some companies that have gotten it right?
What are some frameworks for starting the data/ML/AI journey?
What are some things to consider when doing due diligence on AI start-ups?
Get ready for some "hot takes"!
Speaker
(v. 0.0.3) InnovatorMD University MasterClass on September 5, 2024 (deck)
(v. 0.0.2) Post-Exit Founders Community on February 16, 2024 (deck)
(v. 0.0.1) Emmeline Ventures' Female Founder Circle on January 29, 2024 (deck)
To Learn More from Me
Accelerator mentor
Founder FAQs on blog
Pitch deck advice (Apr 4)
($) Pitch deck office hours (group, ~monthly, free for accel mentees)
($$) Pick my brain (1-1)
($$$) AI diligence (1-1)
Further Reading
AI and Product-Market Fit:
Talk: Power of Data for Product Market Fit (or) Your Product Market Fit Roadmap to Escalate Your Growth (including slides and recording)
Dear Advisor: How do I do Product-Led Growth (PLG) as my Go-to-Market (GTM) Strategy for Product-Market Fit (PMF)?
Pitch decks:
Getting Started with AI:
(Step 1) Dear Advisor: How do I get Started on a Data Strategy from the Beginning?
Dear Advisor: What should (not) be your AI roadmap? (or) Why You Don't Need AI in your SaaS MVP
Dear Advisor: How do I avoid the biggest data/AI/ML mistakes others make?
NYC’s AI Chatbot Tells Businesses to Break the Law, by Colin Lecher for The Markup
References
Cartoon: https://xkcd.com/1838