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Data Council Barcelona 2019

Oct 2–3, 2019 · UTOPIA126, Barcelona, Spain

Conference
Data Council Vendor & industry
Dates
Oct 2, 2019 – Oct 3, 2019
Venue
UTOPIA126
Place
Barcelona, Spain
Format
In person
Status
Past
Attendance
—
No reported headcount found; organizer aimed to keep attendance under 500.
Website
datacouncil.ai
Recorded
4 sponsors · 33 speaker appearances
Notes
The AI Council archive lists this edition as 25 Sep 2019, but the archived event page shows Oct 2-3, 2019 with a day-by-day schedule. Sponsors are logos filtered to 'BCN '19' on the partners page; no tiers. Speakers: all talks listed in the AI Council (formerly Data Council) past-events archive; affiliations as given there, which may reflect a speaker's title at a later date.

Ticket prices

TicketPriceValid untilNotesSource
Super Early Bird€479—Lowest published price in organizer's comparison tableweb.archive.org
Regular Bird€649—web.archive.org
Late Bird€749—An August 2019 snapshot listed Late Bird at EUR 799 (not yet on sale); the October snapshot shows EUR 749.web.archive.org

Sponsors 4

Other 4

Speakers and talks 33

SpeakerCompanyRoleTalkLinks
Fernando CucchiettiBarcelona Supercomputing CenterKeynoteFrom Water Purification to Science Documentaries: Industrial Applications of AI, High Performance Computing, and Data Visualization Other—
Ricardo Baeza-YatesNTENTKeynoteExplainable AI ML & MLOps—
Wouter de BieDatadogKeynoteBuilding Data Engineering Teams Strategy & culture—
Agata LapedrizaUOC / MIT Media LabTalkEmotion Recognition in Images and Text ML & MLOps—
Albert Franzi CrosAlpha HealthTalkVEA: Validating, Evolving & Anonymizing Data in Real Time Governance & security—
Alessandro PregnolatoMarfeelTalkData at Marfeel: Addressing Complexity at Scale with the Latest Technologies Data engineering—
Alexander KudryashovNew RelicTalkKafka Streams in Production: From Use Case to Monitoring Streaming—
Ananth PackkilduraiSlackTalkMurron: Reliable Logging Pipeline Data engineering—
Andrea SpinaRadicalbitTalkBlending Event Stream Processing with Machine Learning Using the Kafka Ecosystem Streaming—
Arnau Tibau PuigletgoTalkBuilding a 1500-Class Listing Categorizer from Implicit User Feedback ML & MLOps—
Aureli Soria-FrischStarlab Consulting DivisionTalkMachine Learning for Brain Health and Understanding at Starlab Neuroscience ML & MLOps—
Carmen HerreroMango SolutionsTalkA Machine Learning Approach to Optimize Prices During Clearance Sales at MANGO ML & MLOps—
Gerard MaasLightbendTalkKubernetes as a Streaming Data Platform: A Federated Operator Approach Streaming—
Jackson ArgoSlackTalkMurron: Reliable Logging Pipeline Data engineering—
Joan Albert d’EscofetAQuASTalkThe Value of Data for Citizens and Health Professionals Strategy & culture—
Joerg SchadArangoDBTalkThe Case for Metadata for Machine Learning Platforms ML & MLOps—
Karina GibertUPCTalkA Data- and Knowledge-Driven Approach for Mental Health Policy-Making at World Health Organization Strategy & culture—
Lewis HemensDataformTalkWhy We Defined a Metalanguage for SQL Analytics engineering—
Malte SandstedeClockworksTalkIt's About Time: An Introduction to Timely Dataflow Streaming—
Maria Crosas BatistaNestléTalkChatbots at Nestle: Improving Performance on Intent Detection ML & MLOps—
Markus LudwigScout24TalkImproving Search with Natural Language Processing and Deep Learning ML & MLOps—
Miguel AlvarezCARTOTalkRethinking Transportation in Cities: Making Traffic Smarter Through Optimization and Location Intelligence Other—
Nikolas GoebelClockworksTalkIt's About Time: An Introduction to Timely Dataflow Streaming—
Pau GarciaDomestic StreamersTalkData Physicalization BI & semantic layer—
Petia RadevaUniversity of BarcelonaTalkUncertainty-Aware Food Recognition by Deep Learning ML & MLOps—
Steve Coppin-SmithSnowplowTalkIssue with Tracking? Fail That Build! Data quality & observability—
Tamás NémethPreziTalkEvolution of Data Ingestion and Product Instrumentation at Prezi Data engineering—
Tiago HenriquesMicrosoftTalkCloud-Based Practices for Effective Data Science at Scale Data science—
Timo WaltherConfluentTalkStream Processing Beyond Streaming Data Streaming—
Vicente Valls RiosDelivery HeroTalkBuilding a Scalable Real-Time Data Pipeline Streaming—
Xaquín G.V.—TalkData Stories by Humans, for Humans BI & semantic layer—
Xavier Gumara RigolAdevintaTalkA Federated Information Infrastructure That Works Data engineering—
Yizhar TorenShopifyTalkTalking Bayes to Business: A/B Testing Use Case Data science—

Sources