This talk will discuss the evolution of the GPU Open Analytics Initiative (GoAi) from its inception to today. GoAi, at its core, is a collection of libraries, frameworks, and APIs that lower the barrier of GPU adoption for data scientists. The goal of GoAi is to enable end to end data science workflows across many multi-GPU servers, to analyze and understand data more efficiently than ever before. To date, GoAi includes methods for performing SQL, machine learning, data processing or feature engineering, graph analytics, and graph visualization all on the GPU. This talk will discuss the who, what, when, where, and whys of GoAi, and its integration into the traditional big data world through leading open source projects like Apache Arrow and Apache Parquet. Finally, this talk will highlight major achievements of GoAi, our plans for the future, and how developers can become a part of this rapidly evolving ecosystem.