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Conferences / EARL (Enterprise Applications of the R Language)

EARL 2026: Data Intelligence Conference

Oct 6–8, 2026 · Leonardo Royal Hotel Brighton Waterfront, Brighton, United Kingdom

Conference
EARL (Enterprise Applications of the R Language) Data science & ML
Dates
Oct 6, 2026 – Oct 8, 2026
Venue
Leonardo Royal Hotel Brighton Waterfront
Place
Brighton, United Kingdom
Format
In person
Status
Past
Attendance
—
Website
earl-conference.com
Recorded
1 sponsors · 50 speaker appearances
Notes
Run by Datacove; rebranded 'EARL 2026: Data Intelligence Conference' with the site footer reading 'International Data Intelligence Summit', widening scope beyond R and Python (SQL, Rust, AI/ML tooling). Speakers from the speakers page (11 Jul 2026 snapshot; panel members from the live page). Keynote role inferred from the page's 'Keynotes' tab order (first three profiles, no talk titles yet); the homepage promised 4 keynotes, the fourth not found. No post-event report found. Prices not found. Attendance not found.

Ticket prices

No ticket prices recorded

Sponsors 1

Other 1

  • Capgemini · Sponsor ("Introducing Our Sponsor")

Speakers and talks 50

SpeakerCompanyRoleTalkLinks
Leanne FitzpatrickFinancial TimesKeynote——
Mike SmithPfizerKeynote——
Nicola RennieOffice for National StatisticsKeynote——
Abbie BrookesDatacoveTalkYour Marketing Is a Mess and Your Google Analytics Is the Problem—
Agnes TrocinskaFreelanceTalkThinking Beyond the Data—
AJ SmallSkyTalkApplying a Survey based segmentation to a Analytical Customer Database—
Alessandro AbatiLSEGTalkAgentic AI Systems for Cloud Migration: Embeddings, Orchestration, and Azure Integration—
Alice Dewar-MillsFractional on DemandPanelistStop Seeking Certainty: Leadership Bravery in the Age of Data Overload—
Alison TelfordCity & GuildsTalkShiny Happy Centres: Visualising Performance with Speed and Ease—
Andres BaravalleOn The BeachTalkIs Someone Poisoning Your Data? Or, The Curious Misadventure of a Holiday Company That Trusted Price Intelligence and Began to Suspect Their Competitors Had Other Plans—
Andrew KellySkyTalkBeyond 30-60-90: Finding the True Duration of Churn Benefit—
Ashley BaldryAcuity AnalyticsTalkShiny, but Make It Reproducible—
Aswin VijayanUniversity of SussexTalkBuilding Your Universe in Python—
Ben CooperDogs TrustTalkWho is that doggy in the classified advert? Using standard laptop hardware for deduplication and programmatic classification of web-scraped advertisements of dogs—
Bianca StratulatUnifeyeWorkshopAPI to AI: Building End-to-End Pipelines in Databricks—
Bianca StratulatUnifeyeTalkFrom Individual Contributor to Data Leader: The Skills No One Teaches—
Bree MerrittRoyal Veterinary CollegeTalkWho is that doggy in the classified advert? Using standard laptop hardware for deduplication and programmatic classification of web-scraped advertisements of dogs—
Charlotte HadleyGraph Plot Chart Data StoryTalkPlease Tell Me That Graph Isn't a Plot—
Ciarán FitzsimonsNational Audit OfficeTalkFrom Data to Narrative: Developing an interactive scrollytelling for the Asylum system—
Colin GillespieJumping RiversTalkBeyond Functions: Choosing the Right Object-Oriented Paradigm for Business R Development—
Dayo OguntoyinboAmazon Web ServicesWorkshopAgentOps: Operationalise Agentic AI at Scale Using AWS—
Elizabeth BrownBranding ScienceTalkBridging the Gap: A practical, opinionated checklist for designing tech solutions that deliver real business impact—
Fanzhou LiangConnect Fibre LtdTalkLets Hunt Aliens—
Fiona PyeAutotraderTalkSuccess from Interdisciplinary Collaboration Personalisation at Autotrader—
George OxleyDabAppsTalkBuilding a Realistic Physics-Constrained Concentrated Solar Power Plant Revenue Optimiser using Python and PyTorch—
Hurma EhteshamCivic EngineersTalkBuilding Stakeholder Confidence in (inconsistent) Enterprise Data—
James BoreBores Group LtdTalkFuzzy Navel: Modelling Subjective Cocktail Experiences in R—
James MullanAnalytix 360TalkBeyond the Code: Thriving in Data Careers—
Jonathan TaylorPanlogicTalkFrom Insight to Impact: A Shiny App for Public Decision Making—
Kat MitchellMPBPanelistStop Seeking Certainty: Leadership Bravery in the Age of Data Overload—
Laura MawerDatacoveTalkFrom Data to Blockbuster: Insights that Stick—
Lee DaviesHiAiTalkAnatomy of an AI Agent: From Prompt Chains to Production Workflows—
Lowell GouldSmithfield FoodsTalkThe Bacon Pipeline: Is AI Changing The Way We Make Bacon?—
Lydia HawthornCprime, IncTalkThe Most Common Mistakes Women in Tech Make When Interviewing For More Senior Roles—
Martyn FaggTilloPanelistStop Seeking Certainty: Leadership Bravery in the Age of Data Overload—
Matt ThomasBritish Red CrossPanelistStop Seeking Certainty: Leadership Bravery in the Age of Data Overload—
Megan BourneLevyTalkData, People and Planet—
Mohamed El Fodil IhaddadenHDI Seguros MéxicoTalkmini007: Designing, Managing, and Orchestrating AI Agents in R—
Namrah GhafoorDomino's Pizza UK & Ireland LtdWorkshopFrom Data to Decisions: Storytelling with Power BI Dashboards—
Nick HowlettBNSSG ICB (NHS)TalkLessons from the SPHEREPPL NHS Severe Patient Harm Forecasting Contest—
Samuel Anees-HillCity & GuildsTalkSee your pipeline while it runs: lightweight monitoring in Python with plotsrv—
Seb DaviesDabAppsTalkBuilding a Realistic Physics-Constrained Concentrated Solar Power Plant Revenue Optimiser using Python and PyTorch—
Seth ShenbanjoRodan AnalyticsTalkFrom Prototype to Production: Building Agentic AI Systems That Actually Work in the Enterprise—
Simon DixonInkieTalkAI Marketing in a Customer Centric World—
Sophie BoulderstoneInkieTalkAI Marketing in a Customer Centric World—
Stephen PriceCity & GuildsWorkshopDevelopment to Deployment: Infrastructure for Data Teams—
Stephen WilkinsUniversity of SussexTalkBuilding Your Universe in Python—
Steve HooleyData Steve LtdTalkModel over Mindset—
Timothy WongLSEGTalkAgentic AI Systems for Cloud Migration: Embeddings, Orchestration, and Azure Integration—
Will MillardNational Biodiversity Network TrustTalkUK Biodiversity Data: Stories and Opportunities—

Sources