Justin Grammens

**Overview** A practical, comparison-driven session on what actually happens when LLM projects go to production—across two very different environments: a regulated international medical company and a mid-sized software company. We’ll distill the key implementation takeaways, share patterns that worked (and the ones that didn’t), and close with a clear, non-lawyer intro to what the EU […]

**Overview** **Applied AI: What Actually Works** brings together experienced leaders across product, data, security, and business to cut through the noise and talk honestly about using AI in real organizations. This panel will focus on practical lessons, real-world failures, and actionable best practices for leaders navigating AI adoption today. Expect candid stories, concrete frameworks, and […]

**Overview** Organizations frequently discuss the skills they want from entry level AI talent. Far less often do we ask students what they are already building. This panel shifts the focus from employer expectations to student reality. Moderated by (https://www.linkedin.com/in/jenaz/), Chief Data and AI Officer at the University of St. Thomas, the session features graduate and […]

**Overview** (https://www.linkedin.com/in/shannon-seaver-nbct-23a2a933/) is a former math teacher who looked at a classroom full of teenagers and thought “you know what sounds easier? Building AI companies.” She’s the founder of TailoredU, co-founder of RealPath Learning, ran the Applied AI Minnesota fall conference, and just won the Lovable She Builds Buildathon Season 2. She’s here today to […]

**Overview** (https://www.linkedin.com/in/shannon-seaver-nbct-23a2a933/) is a former math teacher who looked at a classroom full of teenagers and thought “you know what sounds easier? Building AI companies.” She’s the founder of TailoredU, co-founder of RealPath Learning, ran the Applied AI Minnesota fall conference, and just won the Lovable She Builds Buildathon Season 2. She’s here today to […]

**Overview** Co-Intelligence: The Next Competitive Advantage *Why humans who learn to think with AI will outperform those who just use it* 2026 marks the transition from AI as a tool to AI as a collaborator—a shift that requires moving beyond prompt-and-response interactions toward genuine cognitive partnerships that compound skill, insight, and impact over time. This […]