Revolution Analytics Upcoming Events

The Business of Big Data Conference, NYC

Oct 23 - 25
New York, NY

Revolution Webinar: Actuarial Analytics in R

With data analysis showing up in domains as varied as baseball, evidence-based medicine, predicting recidivism and child support lapses, judging wine quality, credit scoring, supermarket scanner data analysis, and “genius” recommendation engines, “business analytics” is part of the zeitgeist. This is a good moment for actuaries to remember that their discipline is arguably the first – and a quarter of a millennium old – example of business analytics at work. Today, the widespread availability of sophisticated open-source statistical computing and data visualization environments provides  the actuarial profession with an unprecedented opportunity to deepen its expertise as well as broaden its horizons, living up to its potential as a profession of creative and flexible data scientists. 

Revolution Webinar: Models Collecting Dust? How to Transform Your Results from Interesting to Impactful

Data scientists sometimes lament, "Why can't I get anyone to use my predictions?" Great models that make accurate predictions are sometimes disconnected from organizational decision-making. This hurts the business and reduces the data scientists’ perceived value the within the organization. But it doesn't have to be this way. Leading expert James Taylor, author of Decision Management Systems: A Practical Guide to Business Rules and Predictive Analytics, has developed a practical approach you can use to improve adoption and elevate your organization. In this webinar, James will show you proven framework for putting predictive analytics to work.

Revolution Webinar: Using R for Analyzing Loans, Portfolios and Risk:  From Academic Theory to Financial Practice

Dr. Sanjiv Das has held positions as at Citibank, Harvard University Professor and Program Director at the FDIC’s Center for Financial Research. His research relies heavily on R for analysis and decision-making. In this webinar, Dr. Das will present a mix of some of his more current and topical research that uses R-based models, and some pedagogical applications of R.

Revolution Webinar: Turbo-Charge Your Analytics with IBM Netezza and Revolution R Enterprise: A Step-by-Step Approach for Acceleration and Innovation

Everyone involved in high-stakes analytics wants power, speed and flexibility regardless of the size of the data set and complexity of the analysis. Trailblazing organizations that have deployed IBM Netezza Analytics with their IBM Netezza data warehouse appliances (TwinFin) with Revolution R Enterprise are getting all three. Register for this webinar to find out how.    

Revolution Webinar: Revolution R Enterprise - 100% R and More

R users already know why the R language is the lingua franca of statisticians today: because it's the most powerful statistical language in the world. Revolution Analytics builds on the power of open source R, and adds performance, productivity and integration features to create Revolution R Enterprise. In this webinar, author and blogger David Smith will introduce the additional capabilities of Revolution R Enterprise.

Revolution Webinar: A Backstage Tour of ggplot2 with Hadley Wickham

GGplot2 is one of R’s most popular, widely used packages. It was developed by Rice University’s Hadley Wickham, who is also on the core development group for the R Open Source Project. Ggplot2’s exploratory graphics capabilities are driving the use of R as a complement to legacy analytics tools such as SAS. SAS is well-regarded for its strength in data management and "production" statistics, where you know what you want to do and need to do it repeatedly. On the other hand, R is strong in data analysis and exploration in situations where figuring out what is needed is the biggest challenge. In this important way, SAS and R are strong companions. 

Big Data Analysis Starts with R

Join us for a 30-minute executive Webinar to find out how companies of all types and sizes can integrate “R” into their “big data” analytics infrastructure strategy.

We’ll cover:

• An overview of the Open Source “R,” language, and why it’s become the de-facto standard for statistical computing;
• How ‘Big Data’ requires R’s ‘Big Analytics’ capabilities, including leveraging the new breed of popular data sources—such as Hadoop, NoSQL, and in-database data warehouses;
• Use cases and implementation scenarios that share best practices for integrating R into your corporate analytics projects.

Revolution R Enterprise - 100% R and More

R users already know why the R language is the lingua franca of statisticians today: because it's the most powerful statistical language in the world. Revolution Analytics builds on the power of open source R, and adds performance, productivity and integration features to create Revolution R Enterprise. In this webinar, author and blogger David Smith will introduce the additional capabilities of Revolution R Enterprise.

Revolution Webinar: New Features in Revolution R Enterprise 5.0 (including RevoScaleR) to Support Scalable Data Analysis

Revolution R Enterprise 5.0 is Revolution Analytics’ scalable analytics platform.  At its core is Revolution Analytics’ enhanced Distribution of R, the world’s most widely-used project for statistical computing.  In this webinar, Dr. Ranney will discuss new features and show examples of the new functionality, which extend the platform’s usability, integration and scalability.

Revolution Webinar: Scalable Data Analysis in R

For the past several decades the rising tide of technology -- especially the increasing speed of single processors -- has allowed the same data analysis code to run faster and on bigger data sets. That happy era is ending. The size of data sets is increasing much more rapidly than the speed of single cores, of I/O, and of RAM. To deal with this, we need software that can use multiple cores, multiple hard drives, and multiple computers. That is, we need scalable data analysis software.

Revolution Webinar: Revolution R Enterprise - 100% R and More

R users already know why the R language is the lingua franca of statisticians today: because it's the most powerful statistical language in the world. Revolution Analytics builds on the power of open source R, and adds performance, productivity and integration features to create Revolution R Enterprise. In this webinar, author and blogger David Smith will introduce the additional capabilities of Revolution R Enterprise.

Revolution Webinar: Successful Uses of R (along with SAS and Excel) in Banking:  A Look at Mortgages, Loan Portfolios and Probabilities of Default

Hong Ooi’s analysis supports bottom line-impacting decisions made a wide spectrum of groups at Australia and New Zealand Banking Group (ANZ). He has broad experience with both SAS and R, and depends on R for the bulk of his analysis. In this webinar, he will discuss his challenges and how he’s using R along with SAS and Excel to overcome them.

Revolution Webinar: An Introduction to R for SAS and SPSS Users

R is free software for data analysis and graphics that is similar to SAS and SPSS. Two million people are part of the R Open Source Community.  Its use is growing very rapidly and Revolution Analytics distributes a commercial version of R that adds capabilities that are not available in the Open Source version. This 60-minute webinar is for people who are familiar with SAS or SPSS who want to know how R can strengthen their analytics strategy.

September 29, 2011

Webinar: Netezza vs. the Cloud: Using R to Profile Distributed Computing Platforms with Applications in Backtesting FINRA's Limit Up/Down Rules

This webcast is for statisticians, analysts and IT teams responsible for Big Data Analytics who are looking for ways to achieve greater innovation and leapfrog current performance. On May 6, 2010, at 2:45 PM, the Dow Jones Industrial Average plummeted approximately 900 points and rebounded within a matter of minutes. This temporary disappearance of one trillion dollars in market value prompted hearings by the U.S. Congressional House Subcommittee on Capital Markets, Insurance, and Government Sponsored Enterprises to investigate this event, which later became known as Flash Crash. As a result of these hearings, the Financial Industry Regulatory Authority (FINRA) instituted rules to regulate trading in the event of a precipitous drop in stock price.

Strata NY 2011

Strata Conference covers the latest and best tools and technologies for this new discipline, along the entire data supply chain—from gathering, cleaning, analyzing, and storing data to communicating data intelligence effectively. With hardcore technical sessions on parallel computing, machine learning, and interactive visualizations; case studies from finance, media, healthcare, and technology; and provocative reports from experts and innovators, Strata Conference showcases the people, tools, and technologies that make data work.

Strata Conference is for developers, data scientists, data analysts, and other data professionals.

Visit Revolution Analytics at Kiosk #11

Revolution Webinar: Leveraging R in Hadoop Environments

Traditional IT infrastructure is simply unable to meet the demands of the new “Big Data Analytics” landscape. Many enterprises are turning to the “R” statistical programming language and Hadoop (both open source projects) as a potential solution. This webinar will introduce the statistical capabilities of R within the Hadoop ecosystem.  

Free Webinar: Revolution R Enterprise - 100% R and More

R users already know why the R language is the lingua franca of statisticians today: because it's the most powerful statistical language in the world. Revolution Analytics builds on the power of open source R, and adds performance, productivity and integration features to create Revolution R Enterprise. In this webinar, author and blogger David Smith will introduce the additional capabilities of Revolution R Enterprise.

useR! 2011

The useR! conference brings users from various fields together to provide a platform for discussion and exchange of ideas: both in the formal framework of presentations as well as in the informal times surrounding the conference sessions.

JSM 2011

JSM (the Joint Statistical Meetings) is the largest gathering of statisticians held in North America. Attended by more than 6,000 people, meeting activities include oral presentations, panel sessions, poster presentations, continuing education courses, an exhibit hall (with state-of-the-art statistical products and opportunities), career placement services, society and section business meetings, committee meetings, social activities and networking opportunities.

Enzee Universe

Enzee Universe 2011 offers the global Netezza community a single, multi-day event to learn about the latest Netezza technologies, interesting ways that industry leaders are using analytics for competitive advantage today, and the future of business intelligence, data warehousing and analytics.

R/Finance

The third annual R/Finance conference for applied finance using R, the premier free software system for statistical computation and graphics. The two-day conference will cover portfolio management, time series analysis, advanced risk tools, high-performance computing, econometrics and more. All will be discussed within the context of using R as a primary tool for financial risk management, analysis and trading.

Revolution Webinar: Deploying predictive analytics with PMML, Revolution R, and ADAPA

This webinar will be suitable for any technology professionals with an interest in predictive models and who wishes to learn more about Revolution R, PMML and ADAPA.

Structure Big Data 2011

The Structure Big Data conference is designed to provide you with a foundation for your future big data strategy. From storage and warehousing to intelligence and discovery, we look at what it takes to successfully plan for and utilize your company’s data.

Revolution Webinar: Integrating R into 3rd Party and Web Applications Using RevoDeployR

Join us, as Revolution Analytics CTO David Champagne will show how application developers can combine interactive Web applications, desktop applications such as Microsoft Excel, and BI dashboards with on-demand analytics and advanced visualizations published by R programmers.

Predictive Analytics World 2011

Predictive Analytics World is the business-focused event for predictive analytics professionals, managers and commercial practitioners. This conference delivers case studies, expertise and resources to achieve:

• Bigger wins: Strengthen the impact of predictive analytics deployment
• Broader capabilities: Establish new opportunities with predictive analytics
  

Feb 7 - 9, 2011
San Francisco, CA

JasperWorld 2011

JasperWorld 2011 will bring together BI industry leaders, the top experts, and most innovative users of Jaspersoft technology for two days of learning, sharing and looking forward.

Strata 2011, Booth #204

Big Data is here, and it changes everything. From startups to the Fortune 500, smart companies are betting on data-driven insight. Get control of the new data opportunity at Strata—immerse yourself in three full days of hands-on training, information-rich sessions, and a sponsor pavilion filled with the key players and products. This new O’Reilly conference brings together the people, tools, and technologies you need to make data work.

January 26, 2011

Revolution Webinar: Portfolio Design, Optimization, and Stability Analysis

Revolution Analytics is proud to present a new webinar from some of the leading researchers in portfolio design: Diethelm Würtz and Mahendra Mehta for the Rmetrics Association. This webinar will give an overview on current and recent developments and tools for portfolio design, optimization and stability analysis with the R/Rmetrics software environment.

Merck IDEA Days, Booth #116

The Third Annual MERCK INSIGHTS INTO DATA EXPLORATION & ANALYSIS (IDEA) Days, is an event that will bring scientists together for two days focused on turning data into decisions. This event is scheduled for January 18 & 19, 2011, with over 35 qualified suppliers present to exhibit and describe their products and services.