REvolution Computing and Sybase Offer Seminar on Financial Risk Analytics and High Performance

Experts to Demonstrate Time Saving and Cost Reducing Advances in Parallel Processing for Market Analytics Using Sybase RAP and REvolution R Enterprise

NEW HAVEN, Conn.--(BUSINESS WIRE)--Sybase, a leading provider of enterprise infrastructure and mobile software, and REvolution Computing, a leader in open source predictive analytics software, announced a joint seminar to discuss advances in financial risk analytics using Sybase RAP and REvolution R Enterprise. The seminar will take place beginning at 9:30 am on Wednesday, March 18, 2009 at Sybase Global Financial Solutions Center, The Grace Building, 1114 Ave. of Americas, 32nd floor, New York City.

High Performance Analytics

The Power of Sybase RAP and REvolution R

Wednesday, March 18, 2009

9:30 a.m. - Registration and Breakfast

10:00 a.m. - 12:00 p.m. - Seminar Presentation

12:00 p.m. - 1:30 p.m. - Q&A / Lunch

Sybase Global Financial Solutions Center

Grace Building

1114 Ave. of Americas, 32nd floor

New York City

(Midtown Manhattan, near 42nd and 6th)

Sybase RAP – The Trading Edition is a unified market analytics platform that lets capital markets firms make better, faster and safer trading and portfolio decisions across the trade lifecycle. Sybase RAP can enhance sophisticated quantitative analytics on days, months, or decades of market analytic data with a high-performance in-memory database and historic data store.

REvolution Computing's high performance distribution of the R language is an open source data analysis, statistics, and visualization system with a large and rapidly-growing following in the quantitative finance and risk analysis communities. Revolution offers a risk analytics engine featuring enhanced “100% R and more” that is gaining popularity as a faster, more affordable and less error prone alternative to other predictive models.

Together, Sybase RAP – The Trading Edition and REvolution Computing's R language software represent a complete solution enabling financial analysts to create risk models that derive meaning from large sets of mission-critical data in record time, integrated with robust data storage architecture.

During the seminar, Yale University's Dr. Jay Emerson will provide an introduction to the power of the R language by reference to examples of use and characteristics that make the open source R language the lingua franca of statistical computing, both in academia and increasingly in finance. Dr. Emerson, an assistant professor of Statistics at Yale University and a developer of the "bigmemory" package in R, is an advisor to REvolution Computing.

Dr. Bryan Lewis from REvolution Computing will present an overview of risk analysis methods with the R language backed by the Sybase data management platform. Concise examples of value at risk measures, Monte Carlo simulation, and backtesting for market and credit risk illustrate the power and ease of use of the REvolution R system for financial risk analysis. The discussion will focus on interoperability between back-end Sybase data sources and analysis in the R language, and highlight high performance.

Domenic Iannaccone, Director of Business Development for Sybase FSI, will present an overview of Sybase’s RAP, the unified data platform that manages and processes data as it enters the enterprise in high-speed streams as well as after it is persisted to storage. The discussion will focus on the alternative database technologies that augment traditional RDBMS model’s which allow for extremely efficient storage of large amounts of historical data and provide rapid analytic execution. The discussion will also address future plans for tighter integration of RAP and REvolution analytics.

The seminar is open to the public. To register please visit www.revolution-computing.com/events, or call Linda Heinig at 203-777-7442, ext. 220.