Mason, the founder of Fast Forward Labs (now Cloudera Fast Forward Labs), is intrigued by problems that seem impossible and believes that clients often miss out on high-impact ideas if they only focus on obvious ones. She uses applied machine learning, graph technology, and specifically Neo4j to help customers accelerate and embrace machine learning and AI opportunities. Mason finds that the graph metaphor resonates with her work, particularly in building machine learning systems, and has been effective in turning complex problems into engineering challenges. Her team has worked on projects like a tool for banks to support better trading decisions, utilizing graph technology and Neo4j to connect entities and analyze relationships. Mason encourages exploring less obvious uses for graph technology and is excited about the future of developer experience for data science and machine learning applications, where she envisions tools that can support data scientists across various metaphors.