I'm honoured to be giving the opening keynote at the Effective Applications of R Conference (EARL) Conference in Boston on November 2. My presentation will be on the business economics and opportunity of open source data science, with a focus on applications that are now possible given the convergence of big data platforms, cloud technology, and data science software (especially R) charged by the contributions of the open source community.
Given the outstanding calibre of talks at last months' EARL London conference, I'm can't wait to learn about more uses of R in business and industry. The whole agenda looks great, but a few of the sessions that caught my eye include:
- Mark Sellors' workshop on "Getting Started with Spark and R"
- Gergely Daroczi talking about how CARD.com is analyzing and managing Facebook ads from R
- Oliver Keyes on how Wikipedia (one of the top 10 websites) analyzes traffic data with R
- Ari Lamstein (a frequent contributor to this blog) on mapping census data with R
- Bob Rudis from Verizon, with a behind-the-scenes look at making "the most respected report in information security"
- Tim Hesterberg from Google on measuring brand ad effectiveness
- William Denney from Pfizer on monitoring Phase 1 clinical drug trials
If you haven't yet signed up for EARL Boston (organized and hosted by Mango Solutions), registration is still open here. (Discount academic registrations are sold out, though.) I hope to see you there!