Analysing grain yields with IoT, Azure and. R. Cathy Atkinson, Department for. Business, Energy and Industrial. Strategy
EARL London 2017 – Agenda The Tower Hotel Tuesday 12 September – Workshops 9:00am – 10:00am 10:00am – 1:00pm
Registration and arrival tea and coffee Workshop 1: Spark and R with sparklyr Including morning refreshment break
1:00pm – 2:00pm 2:00pm – 5:00pm
Registration Workshop 2: Working with the MicrosoftML package
Workshop 3: Web scraping and text analysis in R
Workshop 5: Writing R functions for fun and profit
Including morning refreshment break
Including morning refreshment break
Workshop 4: Working with GitHub
Workshop 6: Introduction to Shiny
Including afternoon refreshment break
Including afternoon refreshment break
Including afternoon refreshment break
5:00pm – 6:00pm 6:00pm – 9:00pm
Registration Welcome and networking drinks – Tower Foyer and Bridges 1 & 2
Wednesday 13 September – Conference Day 1 8:00am – 9:00am SESSION 1 9:00am - 9:10am 9:10am – 9:55am 9:55am – 10:40am 10:40am – 11:00am
SESSION 2 11:00am – 12:30pm
Registration and arrival tea and coffee Welcome – Richard Pugh and Matt Aldridge, Mango Solutions Keynote: Tom Smith, ONS Keynote: Jenny Bryan, RStudio Mid-morning refreshments
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Grégoire Gauriot, Mango Solutions Analysing grain yields with IoT, Azure and R
Cathy Atkinson, Department for Business, Energy and Industrial Strategy What to do when your data is words Timothy Wong, Centrica plc Analysing high-frequency industrial component failure using text mining techniques
Derek Norton & Neera Talbert, Microsoft SAS to R: How to, and is it enough?
Rachel Kirkham, National Audit Office Using R and Shiny to automate audit
Beth Ashlee and Nicola Crane, Mango Solutions SAS to R: Doing it right
Dr Joy McKenny, Northumbrian Water Using R to monitor sewer network performance for the water industry 12:30pm – 1:30pm Gwilym Morrison, Royal London Data-driven disruption with R in the UK life insurance market
SESSION 3 1:30pm – 3:00pm
Dr Florian Gomez, PartnerRe A Shiny dashboard for monitoring business production in life reinsurance James Lawrence, The Behavioural Insights Team Reducing traffic deaths and serious injuries
3:00pm – 3:30pm
SESSION 4 3:30pm – 5:00pm
5:00pm – 6:00pm 7:00pm – 10:30pm
TBC
Lunch Manuel Eugster, Avira Operations GmbH & Co. KG Large-scale and continuous customer feedback analysis at Avira Neil Charles, Mediacom Just build it: Shiny apps in a large marketing agency
Jonathan Usmar, Schroders Perceptually uniform colour spaces and their interaction with brand identity visualisation Afternoon refreshments Dr Urszula Gasser, PartnerRe Grace Meyer, Mango Solutions Long term protection model in R Too good for your own good: Shiny prototypes out of control Richard Pugh, Mango Solutions Konrad Pabianczyk, Appsilon Data Building a cashflow framework with R Science How we built a Shiny App for 700 users? Tom Liptrot, Peak Dr Sergey Mastitsky, Derivco A car sales Machine Learning API Building an automated forecasting Application using R, Shiny and AWS Networking Pimms reception - Tower Foyer and Bridges 1 & 2 Conference evening reception on the Symphony – embarking at St Katherine’s Pier
Tomáš Jirotka, Robert Bosch s.r.o. České Budějovice Using R in manufacturing process development Maxime Burlot, Bank of France Application of predictive analysis to firms performance dynamics Lydon Palmer, Investec Bank plc Using data science in the real world, Integrating R models with data flow and visualisation Luisa Pires, Bank of England The Data and Statistics Division Journey into R
Jessica Peterka-Bonetta, eyeo GmbH Face with tears of joy: Social media and sentiment analysis with emojis Dr Tim Paulden, ATASS Sports We 'R' young, we run green: Transforming cities through youth-driven data science Daniel Dalevi, AstraZeneca Saving Millions using R and Shiny in Pharma
Thursday 14 September – Conference Day 2 8:00am – 9:00am SESSION 1 9:00am – 9:45am 9:45am – 10:15am 10:15am – 10:40am 10:40am – 11:00am
SESSION 2 11:00am – 12:30pm
Registration and arrival tea and coffee Keynote: Hilary Parker, Stitch Fix Community: R Consortium, Lou Bajuk-Yorgan Community: R Ladies, Alice Daish Mid-morning refreshments
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Dr Evangelia Tzala, Macmillan Cancer Support Forecasting the Cancer population in the UK Pieter Vos, Philips Research Getting predictive analytics in the clinical workflow of doctors Mike Smith, Pfizer How long must I wait? A Shiny app and dashboard for investigating queue wait times
Alexander Campbell, Receipt Bank Customer segmentation: Combining RFM analysis and clustering to predict profitable customers applications Chris Chapman, Google Choice models for product optimization and pricing Matthew O'Kane, Accenture Moving from Predictive to Prescriptive Machine Learning in R
Simon Field, Microsoft How to develop data scientist super powers
12:30pm – 1:30pm David Smith, Microsoft Reproducible Data Science with R
SESSION 3 1:30pm – 3:00pm
Dr Matthew Upson, Government Digital Service Reproducible analysis for government Adnan Fiaz, Mango Solutions Reproducible data pipelines
Lunch Annabel St John - Lyle, reed.co.uk Forecasting metrics with Facebook’s prophet package Dr Abigail Lebrecht, uSwitch The multi-touch marketing channel attribution problem - Can R help solve it? Dan Thompson, Kluster Intelligence R in the sales industry: Win more business with Machine Learning and R
Nigel Carpenter, RSA 5 tips to transform your analysts into high performing data scientists with R Mark Sellors, Mango Solutions An R Operating Model for the Enterprise
Philipp Gschoepf, Prudential Plc Location, location, location: Leveraging geo-tagged data Ashley Turner, TfL Using R at TfL Dr Dan Carpenter, Thames Valley Environmental Records Centre Bat alert map: predicting bat roost presence using R
3:00pm – 3:30pm
SESSION 4 3:30pm – 5:00pm
5:00pm – 5:10pm
Afternoon refreshments Mark Wilcock, Zomalex Ltd Herve Schnegg, Telegraph Media Amit Kohli, ACDI/VOCA Preparing and transforming small data Group Making international development data with R From classification to anomaly detection not useless Mark Hodnett, Johnson Controls Konrad Zdeb, CYBG PLC Tom Wagstaff, Crisis A framework for managing medium-sized Improving BI process and delivery with How many property guardians are there datasets in R Shiny in the UK? Scraping the web with R Dr Sarah Pollicott, Capital One Joe Cheng, RStudio Florian Brun, HABX The dataCompareR package A promising approach for more Using R as an architecture and property responsive Shiny apps development tool Conference closing remarks – Richard Pugh, Matt Aldridge and Mark Sellors, Mango Solutions
Please note: This agenda is correct at time of publication; Mango Business Solutions Ltd reserves the right to make any necessary changes to the agenda. Every effort will be made to keep presentations and speakers as represented.
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