June 20, 2022 (4:15 PM CT) at Kscope 2022

If you’re interested in how best to leverage the power of machine learning and predictive analytics using OAC and ADW in real world situations, then this is the session for you. We’ll review client use cases and cover how to frame, organize, and execute real world machine learning projects. Oracle Analytics has a range of capabilities, but knowing which to use and how to sequentially develop your projects is important to delivering value quickly while still building a strong foundation for future work. We’ll cover building enterprise scale models in Oracle Machine Learning using Autonomous Data Warehouse (Oracle Database) and registering them in OAC. We’ll also cover simple “quick hit” use cases for OAC that are practical and deliver excellent value. You’ll see how to find the data you need, prepare the data for ML objectively, and sequentially build your models.