Join us in Boston!
No conference would be what it is without the support of those speaking, and EARL is no exception. Our speakers come from around the world to present their ideas and approaches. They represent companies of all sizes and give their time to share their knowledge and experience with attendees.
Kenneth Cukier is the Data Editor of The Economist. From 2007 to 2012 he was the Japan business and finance correspondent, and before that, the paper’s global technology correspondent based in London, where his work focused on innovation, intellectual property and Internet governance. Previously, he was the technology editor of The Asian Wall Street Journal in Hong Kong and a regular commentator on CNBC Asia. Earlier still, he was the European Editor of Red Herring and worked at The International Herald Tribune in Paris.
Garrett Grolemund is RStudio's Master Instructor and the Editor-in-Chief of the Shiny Development Center at shiny.rstudio.com. He is also the author of R's popular lubridate package. A statistician by training, Garrett designs webinars, workshops, and other learning material to help statisticians use the open source R language. You may recognize Garrett from his video courses for Datacamp.com and O'Reilly media, for his books Hands-On Programming with R and R for Data Science, or for his series of popular R cheat sheets distributed by RStudio.
David Smith is the R Community Lead at Revolution Analytics, a Microsoft company. With a background in data science, he writes daily about applications of R and predictive analytics at the Revolutions blog (blog.revolutionanalytics.com), and is a co-author of 'Introduction to R', the R manual.
Joe Cheng is a software engineer who joined J.J. Allaire at RStudio in 2009 to help create the RStudio integrated development environment. He is best known for creating Shiny, the reactive web application framework for R; and RPubs, a well known document publishing service. Joe has spent most of his career working for Boston-area tech startups, plus a stint at Microsoft prior to joining RStudio.
Lou Bajuk-Yorgan is the Chairman of the R Consortium. He leads Predictive Analytics product strategy at TIBCO Spotfire, including the development of TIBCO Enterprise Runtime for R (TERR). Lou frequently speaks and tweets (@LouBajuk) about the value of Predictive Analytics for getting the most out of your data.
Gabor was awarded a grant by the R Consortium to implement the R-Hub project, to ease the difficulties associated with developing an R package for submission to CRAN. Gabor works part time for Mango Solutions as a consultant and was previously a postdoctoral research associate at the Dept of Statistics at Harvard University.
SQL Server 2016 with R!
Transforming a Museum to be data-driven using R
Social Marketing using InstagRam
Using the Azure ML cloud to productionise R models
Reconciling the Seemingly Disparate: Unifying R use in a scientifically diverse company
R in a Controlled Enterprise Environment
Polyglot R with cross language interoperability and debugging
There's an R in PartnerRe - Case Studies from the World of Life Insurance
Technology and insights to deliver better service, retain and sell to existing customers: a Shiny app development
How R has significantly improved supply chain efficency
Real-Time Predictive Analytics for Automated Medical Claims Processing
'R we there yet', or How Enterprise IT Learned to Love R
Forecasting retail sales: Product prototyping with R and Shiny
Stream processing with R and Amazon Kinesis
Generating reports getting you down. Use R to automate Word and Excel benchmarking reports
Travel & Expense Decision Tree: a Strategic Approach to Travel & Expense Spend Analysis
Create innovative web applications powered by R
Automating Exploratory Data Analysis with rmarkdown
Automated deployment of externally driven demand for goods and services. A real-time and radical shift in media campaign planning
How data shapes athletic performance: Creating, prototyping and validating new solutions with R.
ggplot2 as a creativity engine
Digital Behaviour Analytics: State-Space Modelling for the Next Generation
How R we Doing? Exploring New Ways for Metrics Development in Operations Assessment
Live Credit Scoring for Marketplace Lending in R
Large Scale Experiments at eBay
Evolution of the brain. Tuning the algorithm behind user journeys
Super-charging websites with a real-time R API
Snow, R and keeping people safe
Energy prediction and load shaping for buildings
It's not the size that matters, it's how you use it: how good use of data can trump 'big' data.
R at BCS: Present success stories , Future challenges
A Shiny Application to Evaluate Cardiovascular Effects
Aggregating Predictions from an MCMC Sampler
The Capital One Journey from SAS to R
Heatmaps in R – Overview, Challenges, and Best Practices
Big Data Finance and the Emergence of a New Kind of Data: Online proxies of human behaviour
Putting R in OR: Transforming the analysis of modelling and simulation data in the Ministry of Defence
A Shiny application for optimally allocating budget across marketing channels
Jumpers for goalposts: Football modelling from the ground up
Multi-seasonal Time Series Modelling using Recurrent Neural Nets
ML for SparkR: just add water