YOW! Data 2019
Wesley Conference Centre Sydney
YOW! Data is a technical conference for data professionals which provides the opportunity to share challenges, best practices, experience, techniques and tools.
The conference brings together leading industry practitioners and applied researchers working on data-driven technology and applications, providing in-depth coverage of current and emerging technologies in the areas of Big Data, Analytics and Machine Learning. Network, meet the experts and hone your skills all in one event.
Keynotes and Invited Speakers
Speakers
The Magic of Unsupervised Learning: Teaching an AI to Understand Our World
- Agustinus
NalwanAI & Machine Learning Technical Development ManagerCarsales.com
Auto feature engineering - Rapid feature harvesting using DFS and data engineering techniques
- Ananth
GundabattulaSr. ArchitectCommonwealth Bank of Australia
Techniques Used to Analyse the Affordability, Commutability and Demographics of Real Estate in School Catchment Areas
- Anthony I
JosephChief Technology OfficerMy House Geek Pty Ltd
Custom Continuous Deployment to Uncover the Secrets in the Genome
- Brendan
HoskingSolutions EngineerCSIRO
Building Rome Every Day - Scaling ML Model Building Infrastructure
- Dana
MaSr. Software EngineerZendesk
From Sparse Data-sets to Graphs: When Explicit Relationships Bridge the Gaps
- Enrique
BustamanteLoyalty Data AnalystEB Games Australia
Search at Scale: Using Machine Learning to Automate Content Metadata
- Gareth
SenequeMachine Learning EngineerAustralian Broadcasting Corporation
Scaling Analytics as your Company Grows
- Itzik
FeldmanProduct Manager for Data Engineering and AnalyticsAtlassian
Working with Large Numbers of Non-Trivial ETL Pipelines
- Jessica
FlanaganChief Data ArchitectDeckard Technologies
Bitcoin Ransomware Detection with Scalable Graph Machine Learning
- Kevin
JungSoftware EngineerCSIRO's Data61
Transparent Government: The Stories we can Tell with Data
- Mel
FlanaganContent & Service DesignerNook Studios
CLASSIEfier: Using Machine Learning to Paint a Picture of Social Sector Trends
- Paola
Oliva-AltamiranoData ScientistOur Community
Image Classification in a Noisy Fraudulent World - A Journey of Computational and Statistical Performance
- Roger
QiuPrincipal Machine Learning Engineer ConsultantMatrix AI
The Three-Rs of Data-Science - Repeatability, Reproducibility, and Replicability
- Suneeta
MallSr. Data ScientistNearmap
Building a Scalable Data Science Pipeline at REA
- Justin
HammanSr. DeveloperREA Group - Jack
LowSr. DeveloperREA Group
Game Engines and Machine Learning: Training a Self-Driving Car Without a Car?
- Paris
Buttfield-AddisonGame Developer and Machine Learning PersonSecret Lab - Mars
GeldardResearcherUniversity of Tasmania
Engineering an Ethical AI System
- Simon T.
O'CallaghanSr. Research EngineerData61 & Gradient Institute - Alistair
ReidSr. Research EngineerGradient Institute - Finn
LattimoreResearch ScientistGradient Institute
Community Gold
Gold Partners
Bronze Partners
