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Wednesday, March 21 • 11:10am - 12:00pm
Operationalizing Machine Learning
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Most data science projects begin with data, “tools” and scripts but fail to get beyond the data scientist. They hit a wall when attempting to “operationalize” the models. Netflix never implemented the algorithm that won the Netflix $1 Million Challenge. This dichotomy between enterprise and algorithms is eliminated when algorithms are built into the data management platforms. By “moving algorithms to the data”, Oracle Database and Big Data Clouds are now data management and advanced analytical platforms. “Robots” can replicate human tasks by capturing best practices discovered in the data and automating that process using machine learning deployed models. Developers use SQL, R and Oracle Data Miner UI to build, evaluate and deploy advanced analytical methodologies. See how to go beyond “tools” to enabling RPA (robotic process automation) applications. Several Oracle “predictive” Applications will be shown as examples._x000D_
Speakers
avatar for Charlie Berger

Charlie Berger

Sr. Dir. Product Mgmt, Oracle Machine Learning, AI, Oracle
Charlie Berger is the Sr. Director of Product Management, Machine Learning, AI and Cognitive Analytics in Oracle Server Technology. Since 1999, he has been responsible for Oracle’s machine learning—starting when Oracle acquired Thinking Machines Corporation where he was VP of... Read More →

Wednesday March 21, 2018 11:10am - 12:00pm PDT
2-Rm 102
  Machine Learning