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Conferences / Data Council

Data Council Singapore 2019

Jul 17–18, 2019 · Microsoft Operations, 1 Marina Blvd, Singapore, Singapore

Conference
Data Council Vendor & industry
Dates
Jul 17, 2019 – Jul 18, 2019
Venue
Microsoft Operations, 1 Marina Blvd
Place
Singapore, Singapore
Format
In person
Status
Past
Attendance
—
Website
datacouncil.ai
Recorded
6 sponsors · 16 speaker appearances
Notes
First Asia edition. Venue from an events listing (discover.events.com). Only the lowest early-bird price was published on the archived page. Sponsors are logos filtered to 'SG '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
Early BirdSGD 449—Shown as lowest published price in organizer's comparison tableweb.archive.org

Sponsors 6

Other 6

Speakers and talks 16

SpeakerCompanyRoleTalkLinks
Arpit AgarwalZoomcarTalkRevenue Maximization in the Shared Bike Business Using Network Analysis and Geospatial Mapping Data science—
Ashish DubeyQuboleTalkSparklens: Understanding the Scalability Limits of Spark Applications Data engineering—
Bence FaludiIndependent ConsultantTalkData Architecture 101 for Your Business Strategy & culture—
Bin FanAlluxioTalkBuilding Data Orchestration for Big Data Analytics in the Cloud Orchestration—
Chris HauslerZendeskTalkBuilding Data Products with Machine Learning at Zendesk ML & MLOps—
David TanThoughtworksTalkDelivering ML Models the Safe and Sane Way ML & MLOps—
Greg RoodtCanvaTalkArgo: Kubernetes Native Workflows and Pipelines Orchestration—
Kamil Bajda-PawlikowskiStarburstTalkPresto: Optimizing Performance of SQL-on-Anything Database internals—
Karthik ThirumalaiTeradataTalk7 Habits to Build Ethical AI Governance & security—
Le ZhangMicrosoftTalkTaking Recommendation to the Masses ML & MLOps—
Miguel RiosTwitterTalkScaling Data Science Teams: Twitter's Perspective Strategy & culture—
Mikhail FilippovQuod AITalkTranslating Source Code into Natural Language with AI GenAI & agents—
Paul BeaumontQuantumBlackTalkCausal Inference: Making the Right Intervention Data science—
Rendy Bambang JuniorTravelokaTalkData Modeling and Processing for a Travel Super App Analytics engineering—
Tzu-Li (Gordon) TaiVervericaTalkA View from Apache Flink on Evolution and Outlooks for the Modern Stateful Stream Processor Streaming—
Yiqun HuSP GroupTalkAutoencoder Forest for Anomaly Detection from IoT Time Series ML & MLOps—

Sources