Conferences / EARL (Enterprise Applications of the R Language)
EARL London 2019
Sep 10–12, 2019 · The Tower Hotel, London, United Kingdom
- Conference
- EARL (Enterprise Applications of the R Language) Data science & ML
- Dates
- Sep 10, 2019 – Sep 12, 2019
- Venue
- The Tower Hotel
- Place
- London, United Kingdom
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- earlconf.com
- Recorded
- 3 sponsors · 62 speaker appearances
- Notes
- Workshops on 10 Sep (R Markdown & dashboards, Keras deep learning, package development, explainable ML, Shiny for production), talks 11-12 Sep. Hosted by Mango Solutions. No US edition in 2019 (the US roadshow ran in 2018 only). Speakers from the official speaker/abstract PDF (58 talks) plus the three keynotes on the homepage; keynote talk titles not found; Ana Henriques's affiliation is not printed in the PDF and is taken from her talk title. Sponsor logos are shown without tiers; Mango Solutions (host) also appears in the logo row. Attendance not found.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| 1-day conference pass | £420 | — | web.archive.org | |
| 2-day conference pass | £780 | — | Evening reception sold separately for 1/2-day passes | web.archive.org |
| Full pass (workshop day + 2 conference days + evening reception) | £900 | — | web.archive.org |
Sponsors 3
Other 3
- Jumping Rivers · Sponsor (no tier shown)
- R Consortium · Sponsor (no tier shown)
- RStudio · Sponsor (no tier shown)
Speakers and talks 62
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Helen Hunter | Sainsbury's | Keynote | — | Video |
| Julia Silge | Stack Overflow | Keynote | — | Video |
| Tim Paulden | ATASS Sports | Keynote | — | — |
| Abigail Lebrecht | Mumsnet | Talk | Stopwords personalisation and Text cleaning at Mumsnet | — |
| Alexis Iglauer | PartnerRe | Talk | Medical underwriting triage: An end-to-end machine learning case study | — |
| Amanda Beedham | RSA Insurance | Talk | Harnessing AI to Create Insight from Text | — |
| Amit Arora | Hughes Network Systems | Talk | Exploring and predicting network service availability using R | — |
| Amit Kohli | ACDI/VOCA | Talk | R is for Reconciliation: how machine learning is helping Colombia move forward | — |
| Ana Henriques | PartnerRe | Talk | Using R in Production at PartnerRe | — |
| Andreas Cardeneo | Allianz | Talk | The documentation is the code: Reproducible workflows and reliable decision making | — |
| Andy Nicholls | GSK | Talk | Making Better Decisions | — |
| Annika Westphal | ORX Association | Talk | Making R’s data visualisation capabilities available to R non-users | — |
| Avision Ho | Department for Education | Talk | Why moving from a Nobel Prize algorithm to a simpler, bespoke one isn't a bad thing for business | — |
| Ben Byrne | Roche | Talk | Can R-Shiny get drugs to patients faster? | — |
| Ben Travers | Stephens Scown LLP | Talk | Successfully Preparing your R-Based Product for Investors or Sale: A Legal Perspective. | — |
| Charlotte Wise | Essence | Talk | Beyond the average: a bayesian approach for setting media targets | — |
| Chris Billingham | MAG (Airports Group) | Talk | Battle of the Bands - Starring Tidytext and Tensorflow | — |
| Chris Mainey | Healthcare Evaluation Data (HED) - University Hospitals Birmingham NHS FT | Talk | Driving R adoption in an NHS information service, barriers and solutions | — |
| Christel Swift | BBC | Talk | Building a shiny app to show affinity between programmes | — |
| David Baker | Toynbee Hall | Talk | haRnessing The Open Source Community to Help Local Communities | — |
| David Smith | Microsoft | Talk | A DevOps process for deploying R to production | — |
| Detlef Nauck | BT | Talk | Model Factories and Test-Driven Machine Learning | — |
| Doug Ashton | Mango Solutions | Talk | Rapid Reproducible R Projects | — |
| Duncan Garmonsway | Government Digital Service | Talk | Get good data out of bad spreadsheets: tidyxl and unpivotr | — |
| Eduardo Contreras Cortes | EY | Talk | Words that will inspire | — |
| Edward Watkinson | Royal Free London (NHS Foundation Trust) | Talk | R in the Hospital - Starting the journey | — |
| Elena Furlan | Aviva | Talk | Using fastText-based embeddings to categorise online search queries | — |
| Gwilym Morrison | Royal London | Talk | From Data to Deployment: overcoming the challenges of embedding R models in Production | — |
| Harold Selman | Ordina | Talk | Running R in a Spring Boot 2 application using GraalVM at the Dutch National Police | — |
| Hasnain Mahmood | London Clearing House (Subsidiary of LSEG) | Talk | Risk Management using Behavioural Analysis in R | — |
| Hayfa Mohdzaini | Universities & Colleges Employers Association (UCEA) | Talk | Delivering a GDPR-compliant pay benchmarking service without breaking the bank | — |
| Jack Pamely | BCA Bank | Talk | Machine Learning and Dev Ops: API Deployment with and without training wheels | — |
| James Laird-Smith | Financial Times | Talk | Introducing scheduler: making recurring calendar events a little easier | — |
| James Smythe | Culture of Insight | Talk | Powering Up Formula One's Market Research with R | — |
| Jeremy Horne | Freelance | Talk | Building a successful data science team with R at the heaRt! | — |
| Johannes Tang Kristensen | Arla Foods | Talk | How much milk do our cows produce? Lessons learned from putting our first R model into production | — |
| Jonas Muench | Bayer | Talk | Leveraging the power of R in a regulated life science environment | — |
| Julia Fumbarev | BWM Group | Talk | Process analysis and optimal allocation of parking space with R | — |
| Kasia Kulma | Mango Solutions | Talk | Integrating empathy in the Data Science process | — |
| Kelly O'Briant | RStudio | Talk | The R in Production Handoff: Building bridges from data science to IT | — |
| Kevin Kuo | RStudio | Talk | Towards open collaboration in insurance analytics | — |
| Kieran Martin | Roche | Talk | R in Pharma: A tailored approach to converting programmers to R in an industry resistant to change | — |
| Megan Stamper | Financial Times | Talk | Building a new data science pipeline for the FT with RStudio Connect | — |
| Mehrdad Mamaghani | Swedbank | Talk | Deployment of Deep Anomaly Detection in R | — |
| Michael Hurst | HEOR Ltd | Talk | Machine learning in healthcare: beyond performance | — |
| Mitchell Stirling | Heathrow Airport Ltd | Talk | Understanding Airport Baggage Demand through R modelling | — |
| Mohammed Amin Mohammed | NHS England | Talk | Promoting the use of R in the NHS - progress and challanges | — |
| Nassos Stylianou | BBC | Talk | How the BBC News data team uses R for graphics | — |
| Premal Desai | The Gym Group | Talk | Flexing analytical muscles - how data science, culture and commercial rigour comes together to drive better return on investment | — |
| Richard Marshall | Hiscox | Talk | Using data to drive better decisions | — |
| Robert Duff | Transport for London | Talk | Let me in! Let me on! Quantifying highly frustrating events on the Underground | — |
| Sam Collins | TravelSupermarket | Talk | R For A Data Driven SEO Workflow | — |
| Sam Hall | TravelSupermarket | Talk | R For A Data Driven SEO Workflow | — |
| Sandro Matos | Merkle Aquila | Talk | Preventing human trafficking through the power of advanced analytics | — |
| Sebastian Wolf | Freelancer i.a. for Roche | Talk | RSelenium or shinytest: How to make shiny apps ready for use in a regulated environment | — |
| Stephen Gormley | Amgen | Talk | An Enrolment Modelling R Package | — |
| Susanna Liberti | eBay | Talk | Using R to ”glue” together data from different sources | — |
| Theo Boutaris | Weber Shandwick | Talk | Deep Milk: The Quest of identifying Milk-Related Instagram Posts using Keras | — |
| Thomas Laber | Austrian Post | Talk | serveRless - how to deploy R code in a modern cloud infrastructure | — |
| Timothy Wong | Centrica | Talk | Large-Scale Time Series Forecasting in Apache Spark | — |
| Yizhar Toren | Shopify | Talk | Hard talks: Explaining Bayes to Business (marketing spend use-case) | — |
| Zhanna Mileeva | N Brown Group | Talk | Model Performance Assessment | — |
Sources
- https://web.archive.org/web/20190820202700/https://earlconf.com/
- https://web.archive.org/web/20191122181653/https://earlconf.com/
- https://web.archive.org/web/20190921192333/https://earlconf.com/assets/Speakabstracts.pdf
- https://www.r-bloggers.com/2019/08/whats-happening-at-earl-conference-2019/
- https://www.r-bloggers.com/2018/10/join-us-at-the-earl-us-roadshow-a-conference-dedicated-to-the-real-world-usage-of-r/