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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

How to Experiment Quickly

  • Juliet
    Hougland
    Data Vagabond
    Bagged & Boosted

Lessons from Building a Data Platform for Smart Cities

  • Simon
    Kaplan
    CEO
    [ui!] the urban institute

Speakers

The Magic of Unsupervised Learning: Teaching an AI to Understand Our World

  • Agustinus
    Nalwan
    AI & Machine Learning Technical Development Manager
    Carsales.com

From Zero to Tensorflow: Building an Analytics Dept.

  • Antoine
    Desmet
    Analytics Manager
    Komatsu

My 5 Biggest Database Blunders

  • Brad
    Urani
    Staff Engineer
    Procore

Look at GDPR from a Data Engineering Perspective

  • Daniel
    Deng
    Sr. Data Engineer
    AirTasker

Predictive Modelling for Online Advertising

  • Diana
    Mozo-Anderson
    Marketing Science Lead
    VGW

From Sparse Data-sets to Graphs: When Explicit Relationships Bridge the Gaps

  • Enrique
    Bustamante
    Loyalty Data Analyst
    EB Games Australia

Search at Scale: Using Machine Learning to Automate Content Metadata

  • Gareth
    Seneque
    Machine Learning Engineer
    Australian Broadcasting Corporation

Is Agile Data Science a thing now?

  • Hercules
    Konstantopoulos
    Sr. Data Scientist
    Atlassian

Entity Resolution at Scale

  • Huon
    Wilson
    Sr. Software Engineer
    CSIRO's Data61

Scaling Analytics as your Company Grows

  • Itzik
    Feldman
    Product Manager for Data Engineering and Analytics
    Atlassian

Working with Large Numbers of Non-Trivial ETL Pipelines

  • Jessica
    Flanagan
    Chief Data Architect
    Deckard Technologies

Modern Time-Series Methods

  • Kale
    Temple
    Co-founder & Practice Director
    University Of Sydney

Data Driven Diversity

  • Larene Le
    Gassick
    Inclusion Engineer
    larene.dev

Emerging Best Practices for Machine Learning Engineering

  • Lex
    Toumbourou
    Sr. Consultant
    ThoughtWorks

The Sceptical Data Scientist

  • Linda
    McIver
    Executive Director
    Australian Data Science Education Instute

Practical Learning To Learn

  • Mat
    Kelcey
    Machine Learning Principal
    ThoughtWorks

Transparent Government: The Stories we can Tell with Data

  • Mel
    Flanagan
    Content & Service Designer
    Nook Studios

Practical Geometric Deep Learning in Python

  • Pantelis
    Elinas
    Sr. Research Engineer
    Data61/CSIRO

Bringing Continuous Delivery to Big Data Applications

  • Reza
    Yousefzadeh
    Principal Data Engineer
    SEEK

New Technologies to the Rescue of Epileptics

  • Robin
    Champseix
    Data Scientist
    OCTO Technology

Which Plane Woke Snowy the Cat?

  • Simon
    Aubury
    Data Engineer Architect
    IAG

Sketch algorithms

  • Simon
    Belak
    Mad Scientist
    Metabase

Making The Black Box Transparent: Lessons in Opacity

  • Xuanyi
    Chew
    Chief Data Scientist
    Ordermentum

Bootstrapping the Right Way

  • Yanir
    Seroussi
    Distinguished Data Scientist
    Automattic

Building a Scalable Data Science Pipeline at REA

  • Justin
    Hamman
    Sr. Developer
    REA Group
  • Jack
    Low
    Sr. Developer
    REA Group

Game Engines and Machine Learning: Training a Self-Driving Car Without a Car?

  • Paris
    Buttfield-Addison
    Founder
    Secret Lab
  • Mars
    Geldard
    Researcher
    University of Tasmania

Engineering an Ethical AI System

  • Simon T.
    O'Callaghan
    Sr. Research Engineer
    Data61 & Gradient Institute
  • Alistair
    Reid
    Sr. Research Engineer
    Gradient Institute
  • Finn
    Lattimore
    Research Scientist
    Gradient Institute
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