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Conferences / EARL (Enterprise Applications of the R Language)

EARL 2024

Sep 3–5, 2024 · The Grand Brighton, Brighton, United Kingdom

Conference
EARL (Enterprise Applications of the R Language) Data science & ML
Dates
Sep 3, 2024 – Sep 5, 2024
Venue
The Grand Brighton
Place
Brighton, United Kingdom
Format
In person
Status
Past
Attendance
—
Website
earl-conference.com
Recorded
3 sponsors · 47 speaker appearances
Notes
First EARL run by Datacove with Silicon Brighton (taking over from Ascent); first in Brighton and first to add Python. Workshops 3 Sep, talks 4-5 Sep, evening event at the British Airways i360. Speaker names as printed on the agenda page (page spells 'Romain Francios'; HCA listed as 'HCA' with 'Healthcare' run into the title). Ticket prices not found (ticketpass widget, price list only as an image). Attendance not found; the site pitched sponsors 'over 200 tech leaders'.

Ticket prices

No ticket prices recorded

Sponsors 3

Platinum 1

Silver 1

Other 1

Speakers and talks 47

SpeakerCompanyRoleTalkLinks
Andy FieldUniversity of SussexKeynote——
Christel SwiftBBCKeynote——
Hadley WickhamPositKeynote——
Steph LockeMicrosoftKeynote——
Abbie BrookesDatacoveTalkReviving User's Passion for the R Community Post-COVID—
Adam GajtkowskiBooking.comTalkImproving Insights by Utilizing Causal Inference Methods—
Adriana De PalmaNatural History MuseumTalkUsing R to Protect the Future of Biodiversity—
Alex GlaserUK Health Security AgencyTalkData Science During COVID Times—
Amieroh AbrahamsJumping RiversTalkRevolutionising Water Management: Exploring Advanced Sensor Analyses for Enhanced Precision and Efficiency—
Amit KohliAccess Social CareTalkData is STILL useless—
Anastasiia KostivBarefootoceanTalkUnleashing the Power of Integration: Enhancing Shiny Apps with React Native/Ionic Mobile App—
Andrew CollierFullFibreTalkBuilding Effective Docker Images—
Andrie de VriesPositWorkshopAn Introduction to Shiny for Python—
Andrie de VriesPositTalkLessons Learnt from Project Management, Applied to Data Science—
Charlotte OsborneProlific10TalkHow R Can Work to Support PPC Efforts—
Chris HolmesFullFibreTalkWeaving Tomorrow's Networks: The Art and Science of Automated Fibre Optic Network Design—
Chris NewtonDogs TrustTalkEstimation of the Size, Density, and Demographic Distribution of the UK Pet Dog Population—
Dan GibsonPersonify AIWorkshopAn Introduction to RAG in Python—
David Lucydecember19TalkUsing R to Measure the Value of Our Marketing Investments—
Dayo OguntoyinboAmazon Web ServicesTalkLeveraging Amazon Bedrock for your Enterprise Generative AI Solutions—
Deepansh KhuranaAppsilonTalkHow I Built an API for My Life (and How You Can Too)—
Elizabeth BrownBranding ScienceTalkShiny for Python: A Call to the Community—
Ella ThompsonEdge HealthTalkR for Strategic Forecasting in Healthcare—
Ellis HughesGSKTalkDriving Innovation and Collaboration—
Gala CamachoDiagonal WorksTalkFinding My Favourite Bench – Urban Analysis with b6—
Hannah FrickPositTalkTidymodels for Time-to-Event Data!—
Hansel PalenciaDaVita InternationalTalkImplementing Machine Learning Models in Clinical Practice: A Practical Example—
Jaymin MistryFacultyWorkshopBuilding Data Pipelines in Python—
Kirsten McMillanDogs TrustTalkEstimation of the Size, Density, and Demographic Distribution of the UK Pet Dog Population—
Matt ThomasBritish Red CrossTalkWhere Data Meets Disaster: A Journey Through the British Red Cross' 'Humaniverse'—
Megan BourneLevyTalkA Recipe for Success: Using R to Cook Up Catering Sales Forecasts—
Mel WeedonDogs TrustTalkAnalysis of Dog Demographics: Insights into Patterns of Licensed Dog Breeding and 'Return to Kennel' Probabilities in the UK—
Neide Simões-CapelaHCA HealthcareTalkFinding Opportunities to Improve the Working Life of Clinical Staff Using R—
Nick HowlettNHS EnglandTalkImproving Acute Hospital Flow Through Real-Time Stochastic Modelling of Daily Discharge Requirements for Onward Care—
Quazi Nafiul IslamSonarTalkFrom Eggs to Poetry: The Evolutionary Saga of Python Packaging—
Romain FrançoisTada Data CompanyTalkFrom Tidy to Tada—
Sarah McDonaldDogs TrustTalkAnalysis of Dog Demographics: Insights into Patterns of Licensed Dog Breeding and 'Return to Kennel' Probabilities in the UK—
Sean BurtonAzura EarthTalkUsing R with Geospatial Data—
Stefania DeligiaEdge HealthTalkR for Strategic Forecasting in Healthcare—
Steph LockeMicrosoftWorkshopAzure for the R person: So you found yourself accidentally managing Azure environments!—
Stephen WilkinsUniversity of SussexTalkSolving the Mysteries of the Universe with the Help of Python—
Timothy WongVodafoneTalkUsing Linear Programming for Route Planning and Job Scheduling—
Tom JemmettNHS EnglandTalkUsing R and Python to Model Future Hospital Activity: The New Hospitals Programme Demand and Capacity Model—
Tom WagstaffOxford Policy ManagementTalkWhisper It! Taking Advantage of OpenAI's Open Source Transcription Model—
Xinye LiAscentTalkR Centric End-to-End Solutioning—
YiWen HonNHS EnglandTalkUsing R and Python to Model Future Hospital Activity: The New Hospitals Programme Demand and Capacity Model—
Zac NashFresh EggTalkUnlocking the Secrets of Fish Behaviour with Python—

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