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Oracle Machine Learning Office Hours

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September 21

15:00 UTC   Start Times Around the World

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Description

OML usage highlight: Live Demo of Oracle Stream Analytics with OML AutoML UI and OML Services
Join us on this weekly Office Hours for Oracle Machine Learning on Autonomous Database, where Hadi Javaherian, Senior AppDev and Integration Platform Specialist will explain all the benefits of the integration between Oracle Stream Analytics and Oracle Machine Learning Services. He will share how this is directly related to the concept of Data Mesh at a high level, and will also show how easy it is for a user to create models using OML AutoML UI and deploy them in seconds to OML Services, which then are made available immediately to Oracle Stream Analytics for real time scoring.

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
00:40 Topics for Today
00:52 Upcoming Sessions
01:34 GGSA and AutoML UI - Data Mesh in Practice
02:31 Data Fabric, Stream Processing and Data Mesh
03:04 Data Capital
03:28 Attributes of a Trusted Data Mesh
05:15 Data Products
06:08 A Decentralized Mesh
07:23 Streaming Data Pipelines
08:03 GoldenGate Stream Analytics
08:58 Tangible, Trusted Data Products
10:15 AutoML UI Experiment - OML Simplified
10:55 GGSA and AutoML UI Integration
12:33 Data Mesh with Stream Analytics and AutoML UI
14:37 Live Demo - Oracle Stream Analytics
16:18 Live Demo - Oracle Machine Learning AutoML UI
17:09 Live Demo - OML Models
17:58 Live Demo - Oracle Stream Analytics
21:42 Q&A

Your Experts

Hadi Javaherian
Hadi Javaherian, AppDev and Integration Specialist
Hadi Javaherian is an Integration specialist with the AppDev and Integration Team at Oracle. He has been working as a software Engineer and an Architect for the past 20 years in industries such as Commercial, Aerospace and Defense and Telecommunication. Hadi specializes in the areas of AI and Machine Learning, Oracle GoldenGate and Big Data including Stream Analytics as well as the Oracle Middleware stack and Blockchain. He holds a Bachelor’s degree in Mechanical Engineering and a Master's degree in Artificial Intelligence and has done extensive postgraduate work in Thermodynamics and Energy.
Marcos Arancibia
Marcos Arancibia, Senior Principal Product Manager, Machine Learning    
Marcos Arancibia is the Product Manager for Oracle Machine Learning, working with Machine Learning in the Oracle Database and on Spark. He develops product strategy, roadmap prioritization, product positioning and product evangelization, helping define the product roadmap for Oracle Machine Learning. 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, Senior Director, Product Management, Data Science and Machine Learning    
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, working with internal and external customers in the application of Oracle’s machine learning technologies for scalable and deployable data science projects. Mark is Oracle’s representative on the R Consortium’s Board of Directors, an Oracle Adviser and founding member of the Business Intelligence Warehousing and Analytics (BIWA) User Community, and Content Selection Committee Chair for the Analytics and Data Summits.

All Sessions

December 7 2021 15:00:00 UTCOracle Machine Learning Office Hours
November 23 2021 16:00:00 UTCWeekly Office Hours: OML on Autonomous Database - Ask & Learn
November 16 2021 16:00:00 UTCWeekly Office Hours: OML on Autonomous Database - Ask & Learn
November 9 2021 16:00:00 UTCOML Usage Highlight: Leveraging OML algorithms in Retail Science platform - Fraud Detection
September 21 2021OML usage highlight: Live Demo of Oracle Stream Analytics with OML AutoML UI and OML Services
August 17 2021OML Usage Highlight: ML on SailGP data: Predicting the best sailing direction
August 10 2021OML feature highlight: Deploy an XGBoost Model using OML Services
August 3 2021ML Concepts - Using Cross-Validation with OML in-Database and with Embedded Python Execution
June 29 2021Weekly Office Hours: OML on Autonomous Database - Ask & Learn
June 22 2021ML Concepts - Encoding of Categorical Attributes: OneHot vs Mean vs WoE and when to use them
June 15 2021OML usage highlight: Machine Learning Recommendations for Maintenance and Repair
May 25 2021Hands-On Lab using Oracle Machine Learning AutoML UI on Autonomous Database
May 18 2021Hands-On Lab using Oracle Machine Learning Services on Autonomous Database
May 11 2021OML usage highlight: Oracle Process Automation with Real-time OML Services scoring
April 20 2021OML usage highlight: Oracle Stream Analytics with Real-time OML Services scoring
April 13 2021OML usage highlight: Making Oracle Digital Assistant smarter with OML Services
March 30 2021OML feature highlight: OML AutoML UI for Automated Model Building
March 23 2021Weekly Office Hours: OML on Autonomous Database - Ask & Learn
March 11 2021OML feature highlight: OML Services on Autonomous for Model Deployment
March 2 2021Weekly Office Hours: OML on Autonomous Database - Ask & Learn