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Thursday, February 27 • 10:55am - 11:45am
Using Oracle Data Studio for Machine Learning on Autonomous Data Warehouse

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We give an overview of Oracle Labs Data Studio and its functionality and then show how Data Studio can be used as the Data Scientist toolbox for Machine Learning with a focus on ML using Autonomous Data Warehouse. Data Studio comes with a pluggable interpreter technology and supports a broad set of languages and technologies including Python, SQL, PGQL and more. It is implemented using Oracle JET and runs either locally or hosted on Oracle Cloud Infrastructure. In the presentation we will show how to build Machine Learning Models in Data Studio using Autonomous Data Warehouse and then how to consume those ML models in OML micro-services. We will focus on use cases centered around Digital Process Automation.

avatar for Matthias Brantner

Matthias Brantner

Research Director, Oracle
Matthias is a Research Director at Oracle Labs. His research interests are at the cross road of data processing and language compilers. He holds a PhD from the University of Mannheim, Germany.
avatar for Ralf Mueller

Ralf Mueller

Architect, Digital Process Automation
Ralf Mueller is an Architect at Oracle working on Digital Process Automationtechnologies in Oracle R&D. He leads the development of severalcore components of Oracle Process Cloud and BPM Suite. He represents Oracle inthe standardization of BPMN 2.0 and CMMN 1.1 within OMG and acted... Read More →

Thursday February 27, 2020 10:55am - 11:45am PST
Bldg 23- Rm 1710 .