Peter JeffcockJeff Pohlmann

Sponsored by

Oracle

What’s coming for big data in 2017?

Date: This event took place live on December 13 2016

Presented by: Peter Jeffcock, Jeff Pohlmann

Duration: Approximately 60 minutes.

Cost: Free

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Description:

Every year brings new challenges for big data, from applications to security to discovery. This webcast brings together some of Oracle's leading experts to give useful—and provocative—insight into what's coming over the horizon. Some long-term trends will see tipping points, as Machine Learning, for example, blurs into Artificial Intelligence with easier-to-use tools and better data access. In other cases, long-term developments that have been in tension will see new strategies for coexisting: hybrids of private and public cloud will become much more common, and tools and strategies for making the best of each of their virtues will be a major theme of 2017.

On top of these established trends, new technologies are enabling long-desired applications, with Kafka supporting simpler data-bus architectures for Real-Time data analytics, and data virtualization giving analysts access to data across storage platforms and language barriers.

Learn more about:

  • Trends in data architecture
  • Bleeding-edge applications of data
  • What you can do now to prepare your organization for what's to come.

About Peter Jeffcock, Senior Principal Product Director at Oracle

Peter Jeffcock works in the go to market organization at Oracle, focusing on Oracle Cloud Platform for Big Data. Prior to joining Oracle, he worked at Sun Microsystems holding a variety of marketing positions in Grid Computing, Developer Tools and High Performance Computing.

About Jeff Pohlmann, VP of Big Data and Analytic Platforms at Oracle

Jeff Pohlmann is the Vice President, Big Data and Analytic Platforms, Oracle Corporation. Prior to joining Oracle, he has been in executive roles at Genpact (GE Partner) leading industrial analytics and IBM Global Business Service's Smarter Oil & Gas Practice, Teradata, and SPSS where he worked with market leaders in developing the strategies for driving value out of analytics and big data. He has spent recent years developing cross industry analytical solutions driving operational excellence through the use of Big Data and analytics.