Join us for morning coffee and a chance to chat to peers
IAPA National Conference "Advancing Analytics" 2022
16 & 17 November
Join the analytics community in person and virtually as we explore insights that advance your world
Wednesday 16th & Thursday 17th November 2022
It goes by many names - that moment of a-ha, epiphany, realisation, eureka or brainwave where suddenly the road forward is clear.
No matter the name, they are all driven by one thing - insight.
Join us in November to celebrate insights that drive clarity, innovation, understanding and momentum.
Insights that advance your world.
Insights driven by analytics.
In 2022, we again bring the community together over two days to tackle topics like synthetic data, machine learning biology, little data, case studies, privacy & data and instances where analytics insights have advanced the world for sportspeople, business leaders, data for good workers, policymakers and analytics leaders.
The Conference features speakers sharing their experience and lessons learned so you can stay up to date with analytics in business, be inspired by peers using data and insights to advance their world and network with like-minds.
Delivered in asynchronous hybrid format, you can choose to attend two days (in person and virtual) or one day (virtual only).
Speakers | Program | Register now
16 November is the first IAPA in-person event since late 2019.
Gathering in Docklands in Melbourne, the day features global and local experts sharing their insights and knowhow. Including generous networking time before, during and after sessions ensure delegates can interact with peers and sponsors.
ACS Technology & Innovation Hub
Level 14, 839 Collins Street
Docklands VIC 3008
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17 November brings the Australia-wide community together virtually.
Attend from anywhere on any device to learn from global and local leading thinkers and network (virtually) with others.
Five reasons to attend
1. Get inspired
Find inspiration from the global and local leaders using data and analytics to change the world
2. See analytics through a new lens
Get a new perspective on analytics through radically different use cases and approaches
3. Network with like-minds
Virtually connect with professionals just like you, share experiences and build your network
4. Explore key issues
Expand your understanding of key issues in analytics today as part of thoughtful presentations
5. Support talent in your community
Support talent presenting for the first time on a conference program
NEW - OneInTenTalk
The IAPA "OneInTen Talk" program provides an opportunity for IAPA members to practice and refine their presentation skills, especially those who are new to presenting.
A OneInTenTalk is designed to be one idea presented in ten minutes (with no sales pitches allowed) with coaching and support provided by IAPA to help prepare presenters.
Note: transaction processed by IAPA's sister association , ADMA.
IAPA member rates
IAPA corporate or individual members can register at discounted rates:
2-day pass (16th and 17th)
$340pp inc GST
1-day pass for the virtual day (16th)
$225pp inc GST
Email contact@iapa.org.au for more information
Teams pay 15% less
Bring your team of 5 or more and save 15% on single Conference Pass rates - purchase a 2 day Conference pass for a team of 5 for $1,900 inc gst or a 1 day pass (virtual) Conference Pass for a team of 5 for $1,275 inc gst
Just add 5 passes to your cart to get the team saving.
Special membership bundle
Want to be an active part of the analytics community, get industry-recognised AND attend the IAPA National Conference?
Join IAPA as an individual member for as little as $722.25pp and attend Advancing Analytics as a bonus!
Just choose the membership + ticket option when you buy your ticket. Individual member benefits are outlined here
Individual membership + Conference Pass
inc 1 day pass $572 inc gst
inc 2 day pass $722 inc gst
Alexandra Ebert
Chief Trust Officer
MOSTLY AI
Alexandra Ebert is a Responsible AI, synthetic data & privacy expert and serves as Chief Trust Officer at MOSTLY AI. As a member of the company's executive leadership team, she is engaged in public policy issues in the emerging field of synthetic data and Ethical AI and is responsible for engaging with the privacy community, with regulators, the media, and with customers. She regularly speaks at international conferences on AI, privacy, and digital banking and hosts The Data Democratization Podcast, where she discusses emerging digital policy trends as well as Responsible AI and privacy best practices with regulators, policy experts and senior executives.
Apart from her work at MOSTLY AI, she serves as the chair of the IEEE Synthetic Data IC expert group and was pleased to be invited to join the group of AI experts for the #humanAIze initiative, which aims to make AI more inclusive and accessible to everyone.
Before joining the company, she researched GDPR's impact on the deployment of artificial intelligence in Europe and its economic, societal, and technological consequences. Besides being an advocate for privacy protection, Alexandra is deeply passionate about Ethical AI and ensuring the fair and responsible use of machine learning algorithms. She is the co-author of an ICLR paper and a popular blog series on fairness in AI and fair synthetic data, which was featured in Forbes, IEEE Spectrum, and by distinguished AI expert Andrew Ng.
Brad Petry
Executive Director, Operations, Insights and Digital Channels
Jobs Victoria
Brad is the executive lead at Jobs Victoria for digital platforms and data insights. He has over 15 years of experience in data, analytics and digital transformation in government. Prior to joining Jobs Victoria, Brad was the Head of Advanced Analytics at the Victorian Centre for Data Insights. Brad has a passion for building and developing multi-disciplinary teams and unlocking the value of data to drive decision making, and was recently awarded the 2022 IAPA top analytics leader in Australia.
Megan Brown
Director, Global Center of Excellence for Advanced Analytics and Data Science
Starbucks
Megan Brown is an analytics leader with 20 years of experience using experimentation, analytics, econometrics, and AI/ML to address business and research opportunities. They have delivered analytics to inform pricing, store development, personalized marketing, digital customer experience, employee performance, and educational research. Megan is passionate about data literacy, storytelling, and solving hard problems. They have a Ph.D. in Experimental Psychology from the University of Wisconsin-Madison with a minor in Econometrics. In their free time, Megan parents two children (ages 3 and 5), gardens, and practices modern dance.
Sameli Mäenpää
SVP, Chief Data Officer
OP Financial Group
Dr AJ Lanyon
Program Manager, Statistical Infrastructure Branch
Australian Bureau of Statistics
Dr AJ Lanyon has over 25 years’ experience in leading complex projects in challenging environments, improving return on research and development investment and building high performing teams. She is committed to making a difference in whatever role she holds and to delivering effectively on agreed outcomes for her organisation. AJ is now focusing on looking after foundational statistical infrastructure for the ABS including cross-cutting standards and classifications e.g. Australia's Occupation and Industry Classifications and Statistical Business Register. Leading innovation in the way that this infrastructure is maintained and improved is critical to ensure it can support the production of quality statistics as well as be used flexibly to meet Australia's ever evolving information needs!
She has also recently taken on responsibility for supporting the ABS Chief Information Governance Officer to mature ABS information management practice and governance and also represents the ABS on the Australian Public Service' Data Professions Working Group. In addition, AJ is currently the Chair of the Australian Government Leaders Network - Queensland, a network which aims to, among other things develop leadership capability of Queensland public servants, exchange innovative thinking, ideas, knowledge and experiences and promote peer support, collegiality and collaboration.
AJ is passionate about building Australian's evidence base to evaluate and monitor economic, social and environmental change. and is committed to strategic positioning of organisations, proactive change management and best practice in effective corporate services development and provision.
Alex Engler
David M. Rubenstein Fellow
The Brookings Institution
Alex Engler is a David M. Rubenstein Fellow at the Brookings Institution, where he studies the implications of artificial intelligence and emerging data technologies on society and governance. Engler also teaches classes on large-scale data science and visualization at Georgetown’s McCourt School of Public Policy, where he is an Adjunct Professor and Affiliated Scholar. Most recently faculty at the University of Chicago, he previously ran UChicago’s MS in Computational Analysis and Public Policy and designed the MS in Data Science and Public Policy at Georgetown University.
Andy Nelson
Director of Product Management
Lily AI
Kate Bower
Consumer Data Advocate
Choice
Coert Du Plessis
Chief Executive Officer
MaxMine
Coert is one of those high-energy people that loves to build products, businesses, teams and communities. At heart he is an entrepreneur, avid water athlete and regular keynote speaker and investor.
Coert is CEO of MaxMine, a world leader in productivity technology for miners combining expert coaching, AI, Industrial IoT, and Software as a Service.
Coert’s impressive career in digital and data change, which started from a Commodore VIC20 computer on a remote farm, has seen him lead BHP's global digital transformation, building BHP's innovation mine, and lead BHP's global data strategy and data initiatives reporting to the Executive Leadership Team. Prior to BHP, Coert was a Senior Partner with Deloitte leading the data analytics practice specialising in machine learning and application in energy and resources.
Jennifer Ding
Research Application Manager
The Alan Turing Institute
Jennifer Ding is a Research Application Manager at The Alan Turing Institute. Previously, she was a startup founder and Data Scientist at several public interest tech companies where she worked with Computer Vision and Natural Language Processing to develop research and product deliverables for Fortune 50 and government customers. Her research interests lie in algorithmic ethics and privacy by design, and she has a personal interest in small data projects and data visualisation.
Antony Ugoni
Chief Data Officer
go1
Antony Ugoni is the Chief Data Officer at go1 and is the chair of the Institute of Analytics Professionals of Australia (IAPA). Ant is one of the most passionate and practical analytics leaders in Australia having led data and analytics team at Bupa, Seek, NAB and part of the advisory boards for the Centre for Business Analytics at the University of Melbourne, Flow of Work and Zetaris. He has also been a judge for the IAPA Top 25 Analytics Leaders for the past five years.
Kathryn Gulifa
Head of Data and Analytics
Catch
Kathryn Gulifa is the Head of Data and Analytics at catch, deputy chair of the Institute of Analytics Professionals of Australia (IAPA) and also chair of the IAPA Skills and Talent Working Group. Kathryn brings a vibrancy and intellect to analytics that sets her apart. A strong advocate for upskilling and capability recognition, Kathryn has built and led analytics teams at WorkSafe Victoria, NAB, ANZ and Tabcorp. She has also been a judge for the IAPA Top 25 Analytics Leaders for the past five years.
Louise Cooper
Director of Data Strategy & Management
News Corp
Director of Data Strategy at NewsCorp since 2021. A Data strategist, Maori technologist and Cultural ambassador - Louise goes beyond the tech to build data products fuelled by a data-literate workforce.
Rolando Garcia
PhD Researcher
UC Berkeley
Keith Russell
Interim Director Outreach | Manager, Engagements and Expertise
Australian Research Data Commons
Duncan Cambridge
Principal Cloud Architect
Google Cloud
Duncan helps retail organisations leverage Google Cloud to engage with their customers more effectively and optimise their operations. As part of Google’s global retail industry community, Duncan has a view of the changing nature of retail and how retailers around the globe are leveraging innovative technology to transform their businesses. He has many years experience working with organisations in Australia, New Zealand and Europe leading teams applying to deep technical expertise to business challenges.
Andrew Pym
Regional Partner
Servian
Andrew is a Regional Partner at Servian who works with clients across Retail, Financial Services, Telco and Mining delivering solutions in Data, Machine Learning, Digital, DevOps plus Cyber. His clients range from large enterprises to digital natives. He has successfully built a number of their award winning practices including Google Cloud which involves interviewing several hundred people a year and establishing learning pathways to create great data and ML engineers.
He has a varied work experience building and leading teams which have delivered mission critical data migrations, building strategic data platforms, running MDM platforms and creating predictive sporting ML models.
Introducing the OneInTenTalk Speakers
Jaimie McGlashan
Data Scientist
WorkSafe Victoria
Czarina Deldio
Business Analytics and Insights Manager
Rheem ANZ
Xi Liang
Data Science Practice Lead
Endeavour Group
David Lim
Senior Manager
Synergy Group
Rachel Atkinson
Manager, Analytics Development
Ambulance Victoria
Issam Hijazi
Head of Data Management Solutions
Quantexa
Ravinendra Pratap
Senior Data Consultant
Blackbook.ai
Abie Arumugam
Senior Strategy and Commercial Manager
Afterpay
A knowledge-sharing, diversity-embracing and connection-building two days for anyone working in data, analytics or data science.
Day 1 - 16 November 2022 - Docklands, Melbourne
Antony Ugoni
Chief Data Officer, go1 and Chair, IAPA (AU)
Brad Petry
Executive Director, Operations, Insights and Digital Channels, Jobs Victoria, Victorian Government (and 2022 IAPA Top 25 Analytics Leader) (AU)
In response to the pandemic, Brad led the Jobs Victoria team that used analytics to remove flawed logic, bias and other manual processes from the job application processes to promote inclusivity and help people into work. Hear how data analytics, artificial intelligence, and machine learning helped to deliver more efficient employment services and matching of applicants to vacancies – and positive feedback from both applicants, partners and employers.
Coert du Plessis
Chief Executive Officer, MaxMine (AU)
Mining is intrinsic to human progress and survival. It produces essential elements, not only for our modern lifestyles but also for our green NetZero future. The IEA estimates we need to mine SIX times more metals than we do today! To better manage humanity’s scarce resources, MaxMine was born and has mastered operationalising data with operators and leaders to optimise performance and reduce mining’s carbon footprint.
Coert will touch on 3 lessons learnt at MaxMine in accelerating and advancing analytics in mining, a traditionally slow adopter of digital and data technology. Big Data Gamification, Establishing Data Trust and Making Sustainable Impact
Rachel Atkinson
Analytics Development Manager, Ambulance Victoria
Dr AJ Lanyon
Program Manager, Statistical Infrastructure Branch, Australian Bureau of Statistics
A modern data economy at its most fundamental depends on recognising the importance of data skills and roles. This foundation creates a scaffold for industry to accelerate, skills to be better valued and greater insights to be gained. In this interview with Dr Lanyon, we explore the exciting work being undertaken by the Australian Bureau of Statistics that has a direct effect on analytics professionals and the analytics industry.
Abie Arumugam
Senior Strategy and Commercial Manager, Afterpay
Andrew Pym
Regional Partner, Servian
Vini Vivo
Head of Analytics and Insights, ASX
Kate Bower
Consumer Data Advocate, CHOICE
After several consumer data controversies in recent months, including the Optus data breach and CHOICE’s investigation into the use of facial recognition tecnology in retail, consumer trust in businesses handling of data is at an all-time low. I’ll present CHOICE’s original research on the issues of most concern to consumers and suggest how we can restore trust in the system, so consumers and businesses can share the benefits of responsible data use while being protected from the harms of bad data practices.
Jaimie McGlashan
Data Scientist, WorkSafe (Victoria)
Keith Russell
Interim Director Outreach | Manager, Engagements and Expertise, Australian Research Data Commons (ARDC)
The Australian Research Data Commons (ARDC) drives the development of national digital research infrastructure to provide Australian researchers with competitive advantage through data. Hear the lessons learned in maintaining a data-intensive digital research infrastructure and platform, including the main considerations for structure, governance, collaboration, access and maintenance of data quality?
Czarina Deldio
Business Analytics and Insights Manager, Rheem ANZ
Antony Ugoni - Chief Data Officer, go1 (AU)
Kathryn Gulifa - Head of Data and Analytics, Catch (AU)
Moderated by Annette Slunjski - Managing Director, IAPA
Sameli Mäenpää
SVP, Chief Data Officer, OP Financial Group (Finland)
OP Financial Group’s Data Balance Sheet provides an open and transparent description of the governance, management and use of data in Finland’s biggest financial services group. Hear Sameli discuss how OP Financial Group uses data to develop banking and insurance services, to achieve greater understanding of the customer’s needs, and to secure the future of the Finnish financial system. The Data Balance Sheet describes how they use data to realise the Group’s strategy from the business, customer benefit and risk management perspectives. For customers and other stakeholders, the report provides information on the key principles and practices governing responsible and safe data processing.
Antony Ugoni
Chief Data Officer, go1 and Chair, IAPA (AU)
Day 2 - 17 November 2022 - Virtual
Annette Slunjski
Managing Director, IAPA
Alex Engler
David M Rubenstein Fellow, The Brookings Institution (US)
Both the EU and US have recently announced policies for AI regulation with New York passing AI audit legislation. What does the Blueprint for an AI Bill of Rights (US) and EU AI Act mean for the use of AI and algorithms in financial services, healthcare, hiring, education, human resources and law enforcement? Can legislation effectively reduce civil rights harms? Alex explores what these developments mean for those developing algorithms, data privacy, data collection and the role of humans in AI or algorithmic use.
Megan Brown
Director, Global Center of Excellence for Advanced Analytics & Data Science, Starbucks (US)
Megan will discuss:
- A few of the ways self-service fails, in spite of our best intentions
- Keeping analytics products top of mind for business leaders
- Building accessible analytics products for business leaders
- Using micro-learning to bring your stakeholders to self-service independence.
Duncan Cambridge
Principal Cloud Architect, Google Cloud
Rolando Garcia
PhD Researcher, UC Berkeley (US)
Organisations rely on machine learning engineers (MLEs) to operationalize ML, i.e., deploy and maintain ML pipelines in production. The process of operationalising ML, or MLOps, consists of a continual loop of (i) data collection and labeling, (ii) experimentation to improve ML performance, (iii) evaluation throughout a multi-staged deployment process, and (iv) monitoring of performance drops in production. When considered together, these responsibilities seem staggering -- how does anyone do MLOps, what are the unaddressed challenges, and what are the implications for tool builders?
Rolando and team conducted semi-structured ethnographic interviews with 18 MLEs working across many applications, including chatbots, autonomous vehicles, and finance. These interviews expose three variables that govern success for a production ML deployment: Velocity, Validation, and Versioning. Rolando will present the paper outcomes and summarize common practices for successful ML experimentation, deployment, and sustaining production performance. Finally, he will discuss pain points and anti-patterns, and their implications for tool design.
Xi Liang
Data Science Practice Lead, Endeavour Group
Andy Nelson
Director of Product Development, Lily AI (US)
David Lim
Senior Manager, Synergy Group Australia
Louise Cooper
Director of Data Strategy & Management, News Corp
Ravinendra Pratap
Senior Data Consultant, Blackbook.ai
Sameli Mäenpää
SVP, Chief Data Officer, OP Financial Group (Finland)
OP Financial Group’s Data Balance Sheet provides an open and transparent description of the governance, management and use of data in Finland’s biggest financial services group. Hear Sameli discuss how OP Financial Group uses data to develop banking and insurance services, to achieve greater understanding of the customer’s needs, and to secure the future of the Finnish financial system. The Data Balance Sheet describes how they use data to realise the Group’s strategy from the business, customer benefit and risk management perspectives. For customers and other stakeholders, the report provides information on the key principles and practices governing responsible and safe data processing.
Issam (Sam) Hijazi
Head of Data Management Solutions, Quantexa
Fast-forwarding Master Data Management thinking for the modern data economy
While Master Data Management (MDM) has been around since the early 2000’s, a lot has happened since then including the exponential evolution of data management. However, MDM hasn’t really kept up, continuing to use unsuccessful traditional methods and approaches to solve the master data challenge that has resulted in a string of failures.
To reverse these failures, we need to change our thinking, our definition and working approaches for MDM.
In this session, Sam will explore these issues and a proposed way to a paradigm shift for modern-day MDM.
Jennifer Ding
Research Application Manager at The Alan Turing Institute (UK)
Open Source Artificial Intelligence (Open AI) collaboratives offer alternative pathways for how AI can be developed beyond well-resourced technology companies and who can be a part of the process. This talk focuses on three such communities, each focused on a different kind of activity around AI: building models (BigScience workshop), tools/ways of working (The Turing Way), and ecosystems (Mozilla Festival’s Building Trustworthy AI Working Group). We will cover the community structures, collaboration styles, and user journeys through each organisation. Ultimately, this work aims to highlight the diversity of AI work and workers that have come forth through these collaborations and how they offer a broader practice of openness to the AI space to address the question: what defines the ‘open’ in ‘open AI’?
Alexandra Ebert
Chief Trust Officer, MOSTLY AI (Austria)
Annette Slunjski
Managing Director, IAPA
Program subject to change without notice
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