The mission of the Machine Learning Research Group is to scale Machine Learning (ML) across Oracle by evangelizing ML throughout Oracle, collaborating with product groups to develop ML-based solutions to improve their products and services, developing ML tools and systems to help them implement ML solutions on their own, and doing fundamental ML research to better understand what will be needed by product groups in the future. The Machine Learning Research group is composed of three teams that collaborate closely with each other, with other Labs research groups, and with product groups and business units across the entire company.
The Data Science Team collaborates with product groups on specific ML projects. Members of the Data Science Team work directly with engineers and managers in other groups to determine what problems they are facing, what data they have available, how they can collect annotations to enable ML algorithms, and, ultimately, how to deploy the ML solution in their product. The Data Science Team works with the Research Team to find novel solutions to collaborator problems and with the Software Team to build solutions that can be transferred easily to the product teams. A sampling of current active collaborations includes:
The Software Team builds systems and infrastructure that enables ML work in our group and throughout Oracle. There are three main focuses for their work:
The Research Team works on emerging technologies that may be of use to Oracle in the future. Their research interests span a number of areas, including:
Stephen Green
Jeffrey Alexander
Karl Haberl
Pallika Kanani
Philip Ogren
Jason Peck
Adam Pocock
Jean-Baptiste Tristan
Michael Wick
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