YOW! Data 2019
Wesley Conference Centre Sydney
We’re delighted to Present an online version of YOW! Data in 2020, featuring selected invited speakers. YOW! Data is an opportunity for data professionals to share their challenges and experiences while our speakers share the latest in best practices, techniques, and tools.
To avoid attendee “screen fatigue” and ensure we can accommodate reasonable time slots for both speakers and attendees across time zones, our online conference will take place across three days, with talks scheduled by theme (Data Science, Data Engineering, Machine Learning/AI) for a few hours each day. Talks will be delivered live and after each session, we’ll head over to the YOW! Data Slack workspace for 25 minutes where you can participate in an interactive Q&A with the speaker, chat about the last talk, visit our partner channels or network in the #hallway-track.
So although we can’t meet face to face right now – you can still 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
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