All are welcome! Whether you are trying to break into the product world (product, ux, ui, data, dev, marketing, etc.) or are a seasoned veteran, we can all learn from one another!

We often call data the lifeblood of our organizations; but rarely do we design user experiences with that principle in mind. This talk explores the critical intersection of user experience and data quality. Drawing from years of experience across industries, I'll highlight common UX anti-patterns that quietly sabotage data integrity, erode trust in reporting, and stall progress in AI and machine learning initiatives. More importantly, I'll share practical strategies for spotting these patterns early, redesigning interactions to generate high-quality, usable data, and embedding user empathy into the foundation of your data programs. Whether you're a designer, engineer, or data leader, you'll leave with a sharper eye for experience-driven data risks—and tools to turn them into opportunities.

AI product requirements usually describe what the system should produce, but they often leave out the decisions the system is allowed to make. That gap creates confused ownership, weak human oversight, and surprises after launch. In this practical session, product managers will learn how to map an AI-enabled workflow from business goal to individual decisions, impacts, controls, and evidence. We will work through a realistic product example and identify where AI should recommend, act, escalate, or stop. Drawing on experience leading AI products in a Fortune 50 company and reviewing risk as a former federal bank examiner, Frank Sellhausen will show how product teams can make decision authority explicit before launch. Attendees will leave with a one-page tool they can use during discovery, requirements, design reviews, and launch readiness—and a clearer way to work with engineering, legal, risk, and business leaders.

The hiring process today feels less human than ever. The first eyes on your resume are often not human. Communication throughout the process is automated. AI is even in the interview. After 14+ years in product marketing, I found myself back in the job market and decided to fight fire with fire. I now use Claude to find jobs, determine my fit, help me apply, prepare for interviews, track progress, and stay on top of all the moving pieces. In this session, I'll walk through what I built, the privacy tradeoffs I navigated, and where I intentionally kept AI out of the driver's seat. You'll leave with practical guidance for how to apply AI in your own job search without losing the human thread that gets you hired.