ACCELERATED DELIVERY | AUTOMATION | COLLABORATION
Discover how your organisation can reap the benefits of automation, scalability, and consistency in delivering data and ML products.
With DataOps, MLOps and even LLMOps at the core of your operations, you'll unlock levels of efficiency, enabling you to stay ahead in the evolving landscape of data and ML. Join us as we explore robust and streamlined technologies, efficient processes, and production pipelines that facilitate the operationalisation of AI. Learn how to enhance workflows by incorporating reliability, reusability, and reproducibility into every step of the data and ML product lifecycle. From a value-add, these methodologies have become a necessity for modern organisations.
Keen to enable automation, streamline technology and processes to support efficient development and production pipelines to productionalise AI?
We’re investing two days on delivering applications, data, analytics, and ML models FASTER. Covering Ops principals of compliance, how to reproduce results, effectively test, CD, automation, monitoring and continuously generating business value in a sustainable way. Modern data management, processes and platforms are agile and automated.
DataOps, AnalyticOps, MLOps, LLMOps are enhancing workflows and we’ll reveal how your organisation will benefit from automation, scalability, and consistency of delivery at its core to deliver data and ML products efficiently.
The event removes the hype and focuses on the Ops principles and approaches that are generating business value. How are we effectively productionalising data and ML products?
CONFIRMED SPEAKERS INCLUDE:
We actively seek to feature a diverse speaker faculty at all our events. By continuing to keep diversity and inclusion at the forefront in our community, together we can drive change for our future workforce. If you would like to share your hard-earned insights but haven’t felt comfortable before, let us know as we’d love to support you.
For speaking opportunities click below or email Kate Tappin
Varun Verma
Chief Data Analytics Officer, L’Oreal
Ben Pattison
Group Head of Data & Analytics, DuluxGroup
Kelli Dudley
Head of Data Science and Data Engineering, Wesfarmers OneDigital
Revital Rosenberg
Chief Data Officer, Murdoch Children’s Research Institute
Soon-Ee Cheah
General Manager - AI Products, Xero
Maoyuan (Mao) Liu
ML Engineering Chapter Lead, ANZx
Kathryn Gulifa
General Manager - Data & Analytics, HBF
Ravi Gerald-Vishwanath
Global Director: Analytics, AI, Automation, Kerry Group
Orla Glynn
Executive Telstra AI Acceleration & Adoption, Telstra
Pasan Karunaratne
Machine Learning Engineering Lead,
REA Group
Champ Mendis
Chief Data Scientist, Triple A Super
Alex Cummaudo
Machine Learning Engineer, REA Group
Su Jella
Director Data & Insights, Tennis Australia
Xi Liang
Head of Data & AI Product, Judo Bank
Halasya Siva Subramania
Head of AI & Automation, Telstra
Craig Rowlands
General Manager Enterprise Data, Australian Unity
Arwen Griffioen
Director of Data Science, Culture Amp
Sandeep Shankar
Head of Data & Analytics, iSelect
Vicent Osabel
Principal Sales Engineer, Dataiku
Sarah Dods
Southern Hemisphere Regional Leader for Advanced Analytics and AI, GHD
Sean Lee
Director, Advanced Analytics - Data & Analytics, RMIT University
Michiel Kalkman
Principal Consultant, Mantel Group
Gavin Soebiantoro
ML Platform & Engineering Team Lead, Carsales.com
Elma O'Sullivan-Greene
Staff Machine Learning Engineer - Tech Lead, Culture Amp
Raghavendra Rojkhird
Senior Manager - Data Empowerment, Block
Felipe Flores
Chief Data Analytics & Technology Officer, Honeysuckle Health, Founder & Host, Data Futurology
Annie Yu
Senior Manager - Commercial Analytics, Carlton & United Breweries (CUB)
Joey (Joselito) Chua
Senior Manager Advanced Analytics, Transurban
Dr Oliver Fleming
Senior Vice President, Strategic Transformation, H2O.ai
Kavitha Dhanraj
Former General Manager Data Platforms, Xero
Mohammad Oloomi
Senior Machine Learning Engineer, Wesfarmers OneDigital
Priya Laxman
Data Scientist, Energy Safe Victoria
Paridhi Jha
Principal Machine Learning Engineer, Wesfarmers OneDigital
Dan Fraser
Former General Manager - Data Applications Engineering, Xero
Hany Hossny
Former Data Science Manager, Catch
Amal C Sekhar
Software Engineer, Carsales.com
Rob Ciolli
Engineering Manager, SEEK
Nic Emery
Former Chief Customer & Digital Officer, Crown Resorts
AGENDA
Join us for two full days of actionable insights.
Key Themes
Securing buy-in and fostering a data-centred culture towards an agile and self-service data environment.
Enabling greater collaboration amongst disparate teams with the break-down of organisational silos.
Establishing process frameworks and rules to ensure the maximum value, efficiency and performance from core processes and automation tools.
How can we measure improvements, efficiency, and agility?
Amplifying your existing practices to deliver improvements across the entire data value chain.
The latest trends and best practices for managing, and monitoring data pipelines and dataintensive workloads.
Effective continual maintenance and monitoring KPIs.
The future of Data-centred Ops
Data Futurology is talking honestly about business problems and motivated to solve them collaboratively with the community. Informed industry experts together with the data, analytics, technology, ML and AI community will discuss how to embolden your vision, inform your data-centric operations and drive innovation.
Join us on 24-25 October to hear how to:
Convince executive that AI & ML requires time to implement and is not a switch you can flick on!
With increasing volumes of data and model builds, how to ensure they are serviced by accurate and timely data.
Ensure the business data owner takes accountability for data strategy or integrity and it’s not just passed on to centralised IT or data teams.
Manage the quality of data used for AI Models. Do you depend on engineering teams? What's an effective and robust feedback loop for DQ?
JOIN US IN MELBOURNE!
Choose your ticket type below and secure your seat for OpsWorld.
End-User Ticket
AUD $494 + GST
Vendor Ticket
AUD $2999 + GST
OR email traceyh@datafuturology.com for team booking discounts, government pricing or to request an invoice.
By submitting the form you are accepting our pricing terms and our terms & conditions
Thank you to our 2023 sponsors
"What a fantastic OpsWorld event it was at Data Futurology this week. I had a great experience sharing a Kasna success story with the super curious and energetic data savvy audience here in Sydney."
- Dheerendra Nath, Principal Consultant, Mantel Group
