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Conferences / Data Con LA

Data Con LA 2019

Aug 17, 2019 · University of Southern California, Los Angeles, CA, United States

Conference
Data Con LA Data science & ML
Dates
Aug 17, 2019
Venue
University of Southern California
Place
Los Angeles, CA, United States
Format
In person
Status
Past
Attendance
2,000
Organizer 'About' text (2021 site): 'over 1800 attendees [2018] and over 2000 in 2019'.
Website
dataconla.com
Recorded
41 sponsors · 54 speaker appearances
Notes
Seventh edition overall (Big Data Camp LA 2013, Big Data Day LA 2014-2017, renamed Data Con LA in 2018). 5 tracks, 39 sessions, 40+ speakers per the organizer's archive page. Keynote speakers (from the archived 2019 home page) are added without talk titles where they have no session on the archive. Included a Startup Showcase pitch competition. Registration was $50 (through Aug 15) on Eventbrite.

Ticket prices

TicketPriceValid untilNotesSource
Registration (through Aug 15)$50Aug 15, 2019'Pricing now $50 though August 15th'web.archive.org

Sponsors 41

Title / headline 1

  • USC · Host Sponsors

Platinum 3

Gold 7

Silver 10

Bronze 1

  • Bird · Bronze Sponsors

Community 18

Other 1

Speakers and talks 54

SpeakerCompanyRoleTalkLinks
Abbass Sharif, PhD.University of Southern CaliforniaKeynote——
Ani OkkasianOMDKeynote——
Anita SenguptaAirspace Experience TechnologiesKeynote——
Elizabeth Owen, PhDAge of LearningKeynote——
Elliot BrookAccentureKeynote——
Jeffrey CarpenterDataStaxKeynotePatterns for Persistence and Streaming in Cloud Architectures—
Joe DevonDiamondKeynote——
Keila Banks—Keynote——
Mukund KaushikSoCal EdisonKeynoteElectrifying Big Issues Through Analytics—
Ron GalperinCity of Los AngelesKeynote——
Sid MohassebUSCKeynote——
Subash D’SouzaData Con LAKeynote——
Amarita NattEconOne ResearchSpeakerHow to Teach an Old Firm New Tricks—
Annie FlippoUrgently, IncSpeakerUser Motivation: Refining Customer Segments with Location—
Ash PahwaCaltechSpeakerOptimization Algorithms for Deep Learning—
Boaz BrudnerZillowSpeakerMove Fast, Think Big: The Principles of Managing Large Scale Big Data and Application Development Projects—
Chaitanya RudrabhatlaSonySpeakerOrchestration of Blue-Green deployment model with AWS Document DB and ECS cluster using Terraform—
Christian SiagianAI LASpeakerState of the Art of Innovation in Computer Vision—
Dan KernaghanPitney BowesSpeakerPitney Bowes methodologies to Organize, Enrich and Analyze data from a location perspective—
David AndersonMemSQLSpeakerIntegrating Kafka with a Real-Time Database—
Don MalloyOATHSpeakerSo You got Hacked, how Quickly Can your Company Recover?—
Eysha Shirrine PowersIBMSpeakerSecuring IoT Data with Pervasive Encryption—
Fiona LiTicketmasterSpeakerKnow Your Customer—
Heather A McphersonUniversity of California - BerkeleySpeakerApplied Privacy Engineering Study on SEER database—
Jacklyn AgorPuppet Master MarketingSpeakerDon't Talk Data to Me—
Jatinder SinghGumGumSpeakerTime Series Forecasting of Programmatic Inventory at Scale—
Jay PalaniappanDatabricksSpeakerLarge scale streaming analytics using cloud based managed services—
Jayesh PatelRockstar GamesSpeakerBig Data Modeling with Spark SQL: Make data valuable—
Jeff CooperFabFitFunSpeakerWorking with data from your most engaged customers—
Jesse Steinweg-WoodsHoneySpeakerE-Commerce Product Categorization at Scale—
Jim BenedettoCore ScientificSpeakerData is the New Business Currency—
Joey BeitdashtooSystech SolutionsSpeakerInnovating with Data—
John PeachAmazon Web ServicesSpeakerCareers in Data Science—
Jose-Luis AmbiteUSCSpeakerBuilding a Knowledge Graph for Data Science Training on the Web—
Juan VasquezCity of Los AngelesSpeakerOpen Data & Maps As Tools for More Impact—
Kaylin LinkeSocialgistSpeakerData Acquisition Made Easy: Accessing social conversations at scale—
Ken ChangUniversity of California - BerkeleySpeakerApplied Privacy Engineering Study on SEER database—
Lorenzo RossiCity of Hope Medical CenterSpeakerBest Practices for Prototyping Machine Learning Models for Healthcare—
Maria KhalusovaJetBrainsSpeakerA closer look: Exploratory Data Analysis with Spark and IntelliJ IDEA—
Mark QuinslandNeo4jSpeakerGraph Theory Takes on the Opioid Epidemic—
Matt HolmesUniversity of California - BerkeleySpeakerApplied Privacy Engineering Study on SEER database—
Mingming ChenUberSpeakerUnifying streaming and message queue with Apache Kafka—
Obaid SarvanaAccentureSpeakerReal Time Face Detection through a Webcam Using AI—
Piyush KumarMakeMyTripSpeakerMetaConfig driven FeatureStore with Feature compute & Serving Platform powering Machine Learning @MakeMyTrip—
Preet SinghEnginelitixSpeakerBox Office Strategy: Do Release Dates Matter?—
Rashmina MenonGumGumSpeakerTime Series Forecasting of Programmatic Inventory at Scale—
Robert HodgesAltinitySpeakerData warehouse and Kubernetes: Lessons from ClickHouse Operator—
Serena VilalobosUniversity of California - BerkeleySpeakerApplied Privacy Engineering Study on SEER database—
Shweta ShettyTeradataSpeakerOne (Key) Ring to Rule Them All: Unified Identity Management for Vantage—
Sonia MaciasSensei AgSpeakerScrum Overview—
Stan DyroLos Angeles TimesSpeakerThe challenges of data science for veteran media organizations—
Tim KerytakIronsideSpeakerPitney Bowes methodologies to Organize, Enrich and Analyze data from a location perspective—
Todd StoffelMariaDBSpeakerHybrid Transactional Analytical Processing (HTAP) with MariaDB Platform—
Vivian SultanCSULASpeakerLocation Analytics For Smart Grid Reliability—

Sources