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Explore the critical challenges of transitioning GenAI prototypes to production environments in this 23-minute conference talk recorded at the AI Engineer World's Fair. Examine how different project stakes—including dollar impact, brand reputation, privacy concerns, bias considerations, health and safety implications, and regulatory requirements—determine the specific hurdles you'll face when deploying AI systems. Learn practical strategies for "getting unstuck" when accuracy, explainability, compliance, cost, or privacy issues block your path to production. Discover how the bar for production readiness varies dramatically based on what you stand to gain or lose from good and bad AI outputs. Participate in discussions about real-world examples and challenges, drawing insights from collective experiences in overcoming AI deployment obstacles. Gain perspective from Neo4j CTO Philip Rathle, who brings extensive experience in data and database technologies, having helped pioneer the graph database category and led product management for over a decade at the company that enabled major breakthroughs like the Panama Papers investigation and accelerated NASA's Mars missions.
