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June 03

17:00 UTC   Start Times Around the World


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.

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Your Experts

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, Product Manager, Data Science and Big Data    
Marcos Arancibia is the Product Manager for Oracle Data Science and Big Data. He works with Machine Learning in the Oracle Database and on Big Data clusters under Hadoop and Spark, on premises and in the Oracle Cloud. He works within Product Management to develop product strategy, roadmap prioritization, product positioning and product evangelization, working closely with the engineering team in defining the product roadmaps for Oracle Machine Learning and Big Data in the Cloud. Before joining Oracle 9 years ago he was at SAS Institute Inc. for 13 years as a Data Mining architect and expert in the US and Latin America. He holds a Bachelor Degree of Science in Statistics with additional courses in the Master of Science in Statistics, both from UNICAMP in Brazil. He has Certifications from Stanford on AI and Machine Learning, and from the University of Washington on Computational Neuroscience. He is an expert on Deep Learning and passionate about Machine Learning.
Navita Sood
Navita Sood, Director Product Marketing