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Autonomous Database for Developers Office Hours

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June 03

17:00 UTC   Start Times Around the World

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Description

Building Smarter Applications with Machine Learning on Autonomous Database
Applications are smart when they can spot trends, react to unusual events, predict outcomes, recommend choices or detect and prevent fraud. Data Scientists are constantly producing AI and ML models that can be invoked in real-time to provide these smart functionalities. But most of these models don’t make it to production due to challenges in integrating them in the application. Join us as we show you how Autonomous Database makes it simple to understand and code the integration points between your Application and these models. You will learn all the different options available for adding AI and ML into your projects when using Oracle Machine Learning that is available inside the Oracle Autonomous Database. You will also learn about interfaces with SQL, PL/SQL, Python and REST APIs, and see live demos of the different components, as well as see a live demo of a ChatBot App used for Image Classification.

Your Experts

thegreeneman
thegreeneman, Autonomous Database Product Management    
I lead Product Management for Oracle’s Autonomous Database - Dedicated Infrastructure and Cloud@Customer. Extensive experience with distributed database technology and associated industry landscape. Software product management expert with a history of defining and executing strategic product roadmaps while evangelizing and supporting the technical aspects of marketing and sales. Built and managed engineering development teams who've delivered innovative, mission critical quality database products to market.
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.
Navita Sood
Navita Sood, Director Product Marketing