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May 11, 2021

15:00 UTC   Start Times Around the World

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OML usage highlight: Oracle Process Automation with Real-time OML Services scoring
This week in our Office Hours for Oracle Machine Learning on Autonomous Database Ralf Mueller, Architect for Oracle Intelligent Automation provided the architecture and demo of integrating Process Automation with direct calls for scoring OML models using the OML Services REST APIs in real-time.

The Oracle Machine Learning product family supports data scientists, analysts, developers, and IT to achieve data science project goals faster while taking full advantage of the Oracle platform.

The Oracle Machine Learning Notebooks offers an easy-to-use, interactive, multi-user, collaborative interface based on Apache Zeppelin notebook technology, and support SQL, PL/SQL, Python and Markdown interpreters. It is available on all Autonomous Database versions and Tiers, including the always-free editions.

OML includes AutoML, which provides automated machine learning algorithm features for algorithm selection, feature selection and model tuning, in addition to a specialized AutoML UI exclusive to the Autonomous Database.

OML Services is also included in Autonomous Database, where you can deploy and manage native in-database OML models as well as ONNX ML models (for classification and regression) built using third-party engines, and can also invoke cognitive text analytics.

Video highlights:
01:04 Agenda
02:36 Digital Process Automation and Machine Learning
03:39 Two patterns for Process - Structured vs Dynamic
04:57 Oracle Process Automation internal SaaS adoption
05:36 Use of OML Services for Real-time scoring
09:36 Demo
09:42 Oracle Machine Learning AutoML UI
10:16 Oracle Machine Learning Models management
10:39 End-to-end Process Applications demo: Car Rental
16:50 Oracle Integration Cloud demo for Process Applications
17:34 Oracle Integrations for REST Connector with OML Services
21:03 Oracle Integrations with connection to OML Services via OAuth Two Legged Flow
22:30 Process Automation Roadmap
24:08 OML Services links and Github
24:49 Announcement of OML Services Hands-on-Lab for May 18, 2021
25:24 Q&A

Your Experts

    Marcos Arancibia

    Marcos Arancibia   

    Marcos Arancibia is a Senior Principal Product Manager in the Oracle Autonomous Database team. He is charted with developing a comprehensive platform for enabling all customers and use cases to be successful on Autonomous Database, and working with developers to bring their Applications and workloads as well. Within Product Management he works to develop product strategy, roadmap prioritization, product positioning and product evangelization, working closely with the engineering teams in defining the product roadmap for Autonomous Database. He previously was a PM for Oracle Machine Learning, and before joining Oracle in 2010 he spent 13 years at SAS Institute Inc., from Country Manager in LAD to Regional Data Mining lead in the US. He holds a bachelor's degree with additional courses in the master's degree, both in Statistics from UNICAMP in Brazil. He has Certifications from Stanford on AI and Machine Learning, and from the University of Washington on Computational Neuroscience.
    Mark Hornick

    Mark Hornick   

    Mark Hornick is the Senior Director of Product Management for the Oracle Machine Learning (OML) family of products. He leads the OML PM team and works closely with Product Development on product strategy, positioning, and evangelization. Mark has over 20 years of experience with integrating and leveraging machine learning with Oracle technologies, and working with internal and external customers in applying Oracle’s machine learning technologies for scalable and deployable data science projects. Mark is Oracle’s representative to the R Consortium and an Oracle adviser and founding member of the Analytics and Data Oracle User Community. He holds a bachelor's degree from Rutgers University and a master's degree from Brown University, both in Computer Science.
    Ralf Mueller

    Ralf Mueller   

    Ralf Mueller is an Architect at Oracle working on Digital Process Automation technologies in Oracle product development. He leads the development of several core components of Oracle Process Cloud and BPM Suite. He represents Oracle in the standardization of BPMN 2.0 and CMMN 1.1 within OMG and acted as co-chair for CMMN. Ralf is a frequent speaker at local BPM conferences and delivered keynotes for BPM Integration Days and SOA Partner Community Forum conferences. Ralf received his Ms. in Mathematics from University of Kaiserslautern in 1994. He works for Oracle for 24+ years. His work and research interests are in Intelligent Automation, Workflow Systems, Integration and Cloud Service Infrastructures.

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