Autonomous Database Learning Lounge series presents: Embedding AI/ML in applications using OML in Autonomous Database

Oracle Machine Learning and Autonomous Database Product Management will introduce Oracle Machine Learning in-database capabilities, as well as Python, R, REST and the latest no-code UI options for this component that is included with every Autonomous Database.

- Introduction to Oracle Machine Learning concepts and capabilities in ADB
Mark Hornick, Senior Director of Product Management will introduce concepts surrounding in-database machine learning from SQL, Python, R and REST APIs, along with OML components exclusive to Autonomous Database. He will highlight the benefits of using machine learning in ADB, common use cases, and the upcoming features.
- Oracle Machine Learning UI for Autonomous Database
Marcos Arancibia, Senior Principal Product Manager will show a quick live demo of the different UI options available for using OML with Autonomous Database and the no-code OML AutoML UI.
- Oracle Machine Learning for Developers: Python and R Third-Party packages, REST APIs and Model Monitoring
Sherry LaMonica, Consulting Member of Technical Staff will demo how to use Conda environments for third-party Python and R packages with Autonomous Database, show how to use ML models deployed to OML Services using the REST API for real-time scoring, followed by invoking user-defined Python and R functions through REST and SQL APIs, and the use of Model Monitoring for detecting the need to replace an ML model in production.
- Open Q&A
Autonomous Database product managers will answer any technical questions about the Autonomous Database service, its features, integration capabilities and use cases.