Big Data Meetup: Can Machines Model Data?

Washington, D.C. campuses

GA D.C., 1776
1133 15th Street NW, 8th Floor
Washington D.C. 20005

GA D.C. (Northern Virginia)
2231 Crystal Drive #1000
Arlington VA 22202

Past Locations for this Event

Big Data Meetup: Can Machines Model Data?

Washington, D.C.

Washington, D.C. campuses

GA D.C., 1776
1133 15th Street NW, 8th Floor
Washington D.C. 20005

GA D.C. (Northern Virginia)
2231 Crystal Drive #1000
Arlington VA 22202

Past Locations for this Event

About this event

Join us in San Francisco on Monday, November 16 at 6:30 PM PST for an evening of networking with Big Data professionals and a progressive presentation from Larry Lancaster, Founder of Zebrium, where Larry will discuss the future of data modeling and the role that machines will play in it!

In his presentation, Can Machine’s Model Data, Larry will discuss the reality that today’s organizations are vying for decisive advantage using data alone, creating a virtual data “arms race” and driving the long tail of dataset complexity into mainstream importance. However, despite the band aids provided by standard data relationship software and data preparation technologies, the limits of human capability force a trade-off between complexity and effectiveness. Because of this dynamic, a great opportunity exists for those organizations who learn to leverage machines to model data, turning a database or analytical platform into an interface, leading to orders-of-magnitude improvement in query time and storage/compute efficiency.

About the Speaker:

Larry Lancaster is well-known in the storage array industry as visioneer of the IoT approach to PLM, support, and services. Before founding Zebrium, Larry was Chief Data Scientist at Nimble Storage, founding that company’s data science team and architecting/implementing their peta-scale platform for automation and analytics. He’s received a number of patents and published a number of peer-reviewed and trade-secret articles in neuroscience, reliability analysis, and industrial applications of queueing theory. He’s also founded NetApp’s Engineering Informatics and Support Automation group as Senior Engineer, invented Glassbeam’s ETL-focused SPL technology as CTO/Co-Founder, and received a leadership award from the International Congress on Neural Networks as graduate student.

Schedule:

6:30- 7:00pm Networking (Food & Drinks provided)

7:00- 7:45pm Presentation

7:45- 8:00pm Q&A

8:00- 8:30pm Networking and Additional Q&A with Speaker

We hope to see you there!

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