EARL 2018, London

Conference Day 1 {.tabset .tabset-fade}

Wednesday 12 September

###Keynote

####Edwina Dunn, Starcount

####Garrett Grolemund, RStudio

###Session 1 ####1. “A Validated R Environment in the Cloud for Life Science R&D” Jobst Loffler, Bayer Business Services GmbH

  • Waiting on Rstudio
  • Item 2

####2. “A brief history of Data at Autotrader; how R has got us here” Paul Owens, Autotrader

  • Item 1
  • Item 2

####3. “Making multi-million pound baseball decisions with R, Shiny and H2O AutoML” Jo-Fai Chow, H2O.ai

  • Item 1
  • Item 2

###Session 2 ####1. “Interpretable Machine Learning with LIME – now and tomorrow” Kasia Kulma, Aviva

####2. “Costing the Armed Forces using the Tidyverse” Tomas Westlake, Ministry of Defence

####2. “Forecasting Work Demand with Random Forests” Eduardo Contreras Cortes, Ernst & Young

###Lightning Talks

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Conference Day 2 {.tabset .tabset-fade}

Thursday 13 September

###Keynote ####Richard Pugh, Chief Data Scientist, Mango Solutions

  • Community in Practice
    • Identity
    • Communication
    • Technology
    • Hackathon
    • Internal Events
  • Best Practices
  • Analytic Governace
    • Objectives, Definitions, Prioristations, Language, Deploy, Quality, Measure, Innovation, Ethics
  • Community of Practice + Best Practices + Analytic Gonverance = A consistent and coherent analytic capabiltiy focused on delivering value via high quality analytics
  • know how to buld the “engine” … now it needs to drive the car!
  • Big Data Anallytics Ecosystem = A datalake of all available data + tools to access & analyse data + capable analysts to provide insight
    • strategic ideas and
  • Educate the business
    • Language (analytics, use cases and results), Preconceptions, Inspire
  • Focus on Decisions
    • Seek Enthusiasm, Workshops, Decisions
  • Measure Success
    • Agree Metrics, Measure, Report, Evangelise

Panel

  • boring

Session1

####1. “Data Visualisation in R Shiny: from Interactive reports to Automated Tools” Taisiya Merkulova, Photobox

  • “By visualizing information, we turn it into a landscape that you can explore with your eyes, a sort of information map. And when your’re lost in information, an information map is kind of useful.” - David McCandless, Data journalist
  • build interactive web apps, free visualization tool, effective, versatile, one-stop-shop
  • collect & store, extract, process, visualize
  • snapshots in between to improve performance

####2. “Re-think not re-write: bridging quant modelling and engineering with R” Scott Finnie and Nick Forrester, Hymans Robertson

Relevant packages:

  • pacman
  • flexdashboard
  • googleAnalyticsR
  • googleAuthR
  • quanteda
  • here

####3. “Shiny Graph Networks for Organisation Design” Jonathan Ng, HSBCY

Session2

####1. “The power of machine learning in segmenting CRM databases” Jeremy Horne, MC&C Media

  • CRM analytics

####2. “Future of R in our enterprise (and perhaps yours)” Alexis Iglauer, PartnerRe

  • Insurance
  • gitlab
  • focus on a single analytics platform; centralised infrastructure; hiring to an absolute bar
  • more communication; more collaborations
  • dedicated R-Studio und Shiny server
  • Docker & cloud are the future

####3. “Hello Soda Bridging the gap between Data Scientists and Engineers; using R in production” Leanne Fitzpatrick

  • Barrier Spider
  • Docker
  • Plumber
  • Schemas with YAML
  • pacman
  • cookie cutter (reproducable framework)
  • testthat & usethis

Session3

####1. “Training 3,000 R models to predict parcel volumes using Docker and Microsoft Azure” Christoph Bodner, Austrian Post

####2. “A ‘caret’-based Framework for Training Multiple Tax Fraud Detection Models” Lars Kjeldgaard, Danish Tax Authority

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