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April 13, 2021

15:00 UTC   Start Times Around the World

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Description

OML usage highlight: Making Oracle Digital Assistant smarter with OML Services
This week in our Office Hours for Oracle Machine Learning on Autonomous Database, Senior Oracle Cloud Engineer Bob Peulen, and Principal Cloud Specialist Engineer Maurits Dijkens explained how to use the Oracle Digital Assistant with Oracle Machine Learning Services REST API, and demonstrated a simple use case of a Smart ChatBot that can request a scoring 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.

Your Experts

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    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.
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    Bob Peulen

    Bob Peulen

    Cloud Engineer in NL, focusing on Analytics, Data Warehousing, Data Science, Machine Learning and Artificial Intelligence.
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    Maurits Dijkens

    Maurits Dijkens

    Focussing on Digital Experience and Natural Language Processing
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