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SF IT AI — Archive · Vol 343 Issue 2

6 articles that week

Friday, November 6th, 2026: 9:00 AM to 4:00 PM, Saturday, Nov. 7th

Pink Leadership Lab - Leading in the Age of AI: From Understanding AI to Building Personal Leadership Advantage (Nov. 6th)

Vol 343 · Issue 2 · 2026-11-06

This is not your typical sit-and-listen conference. The Pink Leadership Lab is designed as a two-day immersive leadership intensive where participants will learn by doing - through interactive workshops, AI demonstrations, case studies, strategic planning exercises, peer collaboration, and leadership panels.

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Thursday, October 29th, 2026: 6:00 PM to 9:00 PM

Mindstone Miami October AI Meetup (Oct. 29th)

Vol 343 · Issue 2 · 2026-10-29

Join us once a month as we delve into the world of artificial intelligence, explore its cutting-edge practical applications, and marvel at the astonishing projects that are shaping our future.

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Thursday, October 29th, 2026: 6:00 PM to 8:00 PM

Health Tech Flock Meetup (Oct. 29th)

Vol 343 · Issue 2 · 2026-10-29

Miami's go-to monthly happy hour for healthcare and health tech - founders, clinicians, operators, investors, and everyone in between. Come hang out, meet new people, and connect with the community.

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Wednesday, October 21st, 2026: 1:00 PM to 2:30 PM

(CS)2 AI Online Seminar: Cybersecurity Vulnerability Reporting & Remediation (Oct. 21st)

Vol 343 · Issue 2 · 2026-10-21

Last year Billy and his team hacked a connected wheelchair and sent it careening down a flight of stairs.

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Wednesday, October 21st, 2026: 5:30 PM to 8:30 PM

AI Uncorked: Monthly AI Expert Speakers and Networking Over Wine (Oct. 21st)

Vol 343 · Issue 2 · 2026-10-21

AI Uncorked brings top AI experts to share insights on innovation, strategy & real world impact. Join us for our next session!

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Tuesday, October 20th, 2026: 6:00 PM to 8:00 PM

Global AI Community - Miami: Agentic Safety & Security (Oct. 20th)

Vol 343 · Issue 2 · 2026-10-20

As AI moves from answering questions to executing tasks, leaders and builders face new questions: What should an agent be allowed to do? What data should it access? When should a human step in? And how do we spot problems before they become business risks?

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