ORACLE WINE DINNER WITH SOMMELIERWine dinners are exclusive and by invitation only for executive IT professionals. Offered only to a select group of customers, TechTalk Wine Dinners are intimate events that deepen relationships. Certified sommelier, Rachel Jeanne, one of three sommeliers on the team honored with the 2016 James Beard award for best wine program, leads the tasting with wines she has hand selected especially for the evening's dinner. Unlocking The Value of Enterprise Data: Machine Learning, Oracle Database and Exadata
Machine learning applied to existing enterprise data is proving to be enormously valuable in making better decisions that ultimately lead to better outcomes. Whether it’s customer service, finance, sales or manufacturing: machine learning is proving its value. Unfortunately, traditional approaches to applying machine learning can often be complex, time-consuming and expensive. Join us for an informational session where we’ll share how the Oracle Database and Exadata can help you quickly and inexpensively gain machine learning insights across your organization using your enterprise data.
Register now to join us.Oracle Host: Dr. Matthew O’Keefe, VP, Corporate Technologist, Cloud Infrastructure Group
Dr. Matthew O’Keefe is a corporate technologist in the Cloud Infrastructure group at Oracle, specializing in helping customers leverage the Oracle cloud to build out next-generation enterprise IT and new applications. He spent nearly five years at Hitachi Data Systems in product R&D and delivery for enterprise storage and big data. Prior to Hitachi, Matthew started and sold two infrastructure IT companies, Sistina Software (sold to Red Hat) and Alvarri (sold to Dell). Sistina focused on Linux storage management software, Alvarri on cloud backup. He began his computing career with a Ph.D. at Purdue University in parallel computing and before entering the enterprise IT world, spent 10 years as a tenured professor at the University of Minnesota, developing parallel applications that leveraged very large scale computing systems, the precursors to today’s clouds. .