Preparing and Designing the Data Lakehouse for Artificial Intelligence Vini Jaiswal, Databricks

October 28, 2021 — Just as software has transformed the business landscape, so will AI. Most of the time spent in developing AI is focused on data, and if you get the data right, most of the problems are solved at the beginning of designing the pipeline. In this lecture, Vini Jaiswal will cover the modern data paradigm called the data lakehouse, which provides all of the capabilities needed to train and deploy machine learning models, and an overview of the end-to-end Databricks machine learning, which is built on an open lakehouse foundation. Vini will also share her experiences working with data practitioners in different industries who are using the lakehouse to build AI applications. Vini Jaiswal is a developer advocate at Databricks and brings 9 years of data and cloud experience working with unicorns, digital natives, and Fortune 500 companies. She helps data practitioners to be successful in building on Apache Spark, Delta Lake, Databricks, MLflow, and other open source technologies. Pre