Started from the Bottom Now We’re Here: Revisiting the AI Hierarchy of Needs by Sarah Catanzaro Visit https://rstats.ai/nyr/ to learn more. Abstract: Five years ago, Monica Rogati (AI/ML advisor and former VP Data at Jawbone) published a blogpost outlining the AI Hierarchy of Needs. Although she warned readers that her guidance is “not an excuse to build disconnected, overengineered infrastructure,” many data teams have met this fate. In this talk, Sarah Catanzaro will revisit the AI Hierarchy of Needs and critically examine at which levels tools and the adoption of best practices have enabled teams to make progress and at which levels most teams are still failing to unlock rapid development and iteration on AI products. She will investigate why existing tools and ML stacks may inhibit the productivity of data teams and provide actionable recommendations to accelerate inner and outer ML development loops. Bio: Sarah Catanzaro is a Partner at Amplify Partners, where she focuses on investing in and advising high potential startups in machine intelligence, data management, and distributed systems. Her investments at Amplify include startups like RunwayML, Maze Design, OctoML, and Metaphor Data among others. Sarah also has several years of experience defining data strategy and leading data science teams at startups and in the defense/intelligence sector including through roles at Mattermark, Palantir, Cyveillance, and the Center for Advanced Defense Studies. Twitter: https://twitter.com/sarahcat21 Presented at the 2022 New York R Conference (June 9, 2022)