The IAPA National Conference "Advancing Analytics" is the conference for the true analytics and data science professional.

17 & 18 November 2020

The 2020 virtual conference features speakers who will share their experience and lessons learned so you can stay up to date with analytics in business, be inspired by peers using data for good and network with like-minds. Delivered virtually and live, all sessions will include dedicated time for speakers to answer your questions face-to-face (virtually)

“If not now, when?” explores all the reasons why now is the exact time organisations should seek out their analytics team, pore over data insight reports and balance agility with real-time trends and analysis to select the best path forward.

It also brings together the top analytics leaders in Australia for indepth, face-to-face discussions with attendee on ten topics that matter today and tomorrow for anyone working in data, analytics or data science.

Don’t miss this chance to learn from leaders, be part of the community and discuss key issues – sessions will not be recorded so clear your mornings on 17 and 18 November now so you can attend live! 

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 $500pp and attend Advancing Analytics as a bonus!

Just choose the membership + ticket option when you buy your ticket. Individual member benefits are outlined here

Teams pay 15% less

Bring your team of 5 or more and save 15% on single ticket rates - use code ANALYTICSTEAM when you checkout.

Watch a five-minute overview of the Advancing Analytics program


IAPA's Managing Director, Annette Slunjski explains the theme "If not now, when?" and how each session helps to inform and engage analytics professionals, businesses and governments on the analytics topics that matter right now.

International Keynote & Plenary Speakers

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Tom Davenport

Babson College

Tom Davenport is a world-renowned thought leader and author, is the President’s Distinguished Professor of Information Technology and Management at Babson College, a Fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte Analytics.

An author and co-author of 20 books and more than 200 articles, he helps organizations to transform their management practices in digital business domains such as artificial intelligence, analytics, information and knowledge management, process management, and enterprise systems.

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Cynthia Rudin

Duke University

Cynthia Rudin is a professor of computer science, electrical and computer engineering, and statistical science at Duke University, and directs the Prediction Analysis Lab, whose main focus is in interpretable machine learning. She is also an associate director of the Statistical and Applied Mathematical Sciences Institute (SAMSI). Previously, Prof. Rudin held positions at MIT, Columbia, and NYU. She holds an undergraduate degree from the University at Buffalo, and a PhD from Princeton University. She is a three-time winner of the INFORMS Innovative Applications in Analytics Award, was named as one of the "Top 40 Under 40" by Poets and Quants in 2015, and was named by as one of the 12 most impressive professors at MIT in 2015. She is past chair of both the INFORMS Data Mining Section and the Statistical Learning and Data Science section of the American Statistical Association. She has also served on committees for DARPA, the National Institute of Justice, and AAAI. She has served on three committees for the National Academies of Sciences, Engineering and Medicine, including the Committee on Applied and Theoretical Statistics, the Committee on Law and Justice, and the Committee on Analytic Research Foundations for the Next-Generation Electric Grid. She is a fellow of the American Statistical Association and a fellow of the Institute of Mathematical Statistics. 

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Dr Pamela Peele

Chief Analytics Officer
UPMC Health Plan & UPMC Enterprises

Pamela Peele, Ph.D., is the Chief Analytics Officer at UPMC Insurance Services Division and UPMC Enterprises    Dr. Peele brings 13 years of direct patient care experience along with 12 years of academic research experience to her position as a leader of health care analytics at UPMC.  She is responsible for creating innovative analytics that drive financial and clinical performance including economic modeling, predictive modeling, statistical analysis and machine learning.  Prior to joining the UPMC in 2006, Dr. Peele was the Vice Chair of the Department of Health Policy & Management at the University of Pittsburgh Graduate School of Public Health.  She currently holds faculty appointments in the Graduate School of Public Health and the School of Medicine at the University of Pittsburgh.  She is core faculty at the Center for Research on Health Care at the University of Pittsburgh Medical Center and an elected fellow of the Centre for Interuniversity Research and Analysis on Organizations in Montreal, Canada.  She has numerous published articles and book chapters. She was the first person chosen by IBM as an IBM Big Data Hero and was voted the 2014 IT News Men & Women of the Year as a top innovator in healthcare analytics.

Dr. Peele has a BA in economics from Roanoke College in Salem, VA, and a MA and a PhD in economics from Virginia Tech in Blacksburg, VA.

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Gibson Biddle


Gibson Biddle joined Netflix as VP of Product in 2005.In 2010 he became the Chief Product Officer of Chegg, a textbook rental and homework help startup that went public in 2014.Today he’san adviser, speaker, and guest lecturer at both Stanford and INSEAD.

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Kay Firth-Butterfield

Head of AI and Machine Learning and Member of the Executive Committee
World Economic Forum

Kay Firth-Butterfield is Head of AI and Machine Learning and member of the Executive Committee of the World Economic Forum. In the UK she is an Associate Barrister (Doughty Street Chambers), Master of the Inner Temple, London and serves on the Lord Chief Justice’s Advisory Panel on AI and Law. In the United States, she has been a Professor of Law and International Relations, co-founded AI Global and was the world’s first Chief AI Ethics officer in 2014 and created the AIEthics twitter hashtag.  Kay is Vice-Chair, The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems and was part of the group which met at Asilomar to create the Asilomar AI Ethical Principles. She is on the Polaris Council for the Government Accountability Office (USA) and the Advisory Board for UNESCO International Research Centre on AI. Kay has advanced degrees in Law and International Relations and regularly speaks to international audiences addressing many aspects of the beneficial and challenging technical, economic and social changes arising from the use of AI. She worked as a part-time Judge, mediator, arbitrator and business owner.

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Silvio Giorgio

GM Data Science, Transformation & Enablement
Australia Post

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Sveta Friedman

Data Analytics & Science Director

Sveta is a data science and business intelligence leader with extensive experience in consulting and client based environments. Vast of experience working in different industries including gambling, retail, health and online businesses (startups).

Sveta has a passion for connecting people to the data they need to make decisions ,build better products and execute marketing and customer strategies. Effective liaison between business and technology. Extensive experience in building data science and analytics practices from scratch, recruiting and developing teams.

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Dr Phillip Gould

Assistant Secretary, Office of the National Data Commissioner Branch
Department of the Prime Minister and Cabinet

Dr Phillip Gould is the Assistant Secretary atthe Office of the National Data Commissioner at the Department of the Prime Minister and Cabinet.In his currentrole, Dr Gouldis responsible for guiding whole of government reformsto the public sectordata system todeliver improved service, policies and research outcomesfor Australians.He is working to developnew data sharing legislation to promotea culture of safely using data to its maximum potential. A significant portion of Dr Gould’s work involvesengaging with the public to design and build trust in the scheme. Dr Gouldbrings in significant experience as the lead of methodology and data integration at the Australian Bureau of Statistics. He also holds experience in in the fields of banking and finance as well as aPhD in Time Series Econometrics.

Discussion Group Leaders - IAPA Top 10 Analytics Leaders

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Dr Alex Antic

Head of Data Science
Australian National University

Duhita Khadepau Photo

Duhita Khadepau

Director - Analytics and Data Science

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Kshira Saagar

Chief Data Officer
Latitude Financial Services

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Hema Prasad

#6 in 2020
IAPA Top 25 Analytics Leaders

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Craig Napier

Chief Data Officer

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Angela Kim

Head of Analytics and AI
Teachers Health Fund

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Scott Wynne

Head of Claims Analytics

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Moha Ganji

Head of Data Science
ANZ Bank

Moha is a PhD qualified award-winning AI and data science leader with a passion for bringing people, dataand technology together to drive strong business and customer outcomes. She has a successful track record in building and leading cross functional high performing teams, developing data and AI capability and driving and executing data strategy across finance, retail, and energy industries.

Moha's influence and contribution to the industry have been recognised through multiple awards including women leading tech award nomination by B&T and Google in 2020, ranked 5th (1st woman) among top 25 analytics leaders of Australia by Institute of Analytics Professionals Australia (IAPA) in 2019, and 30 under 30 tech award by B&T. Also, as featured speaker in several industry conferences such as Chief Data Officer Melbourne and AI summit for business, she shared her experience on leveraging AI and data products for enterprises.

Moha holds an honorary position at The University of Melbourne and she taught machine learning in graduate programs in Melbourne Business School. She is currently head of data science at ANZ bank setting and executing data strategyin the home loans business.

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Keegan O'Shea

Director of Behavioural Science


With 20 years of experience across software, telco, and finance businesses, Keegan has twice been selected as one of IAPA's Top 10 Analytics leaders in Australia. As the global Director of Behavioural Science at Afterpay, he leads a team that uses data science and analytics to identify opportunities to drive business strategy and build products for merchants and customers.

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Silvio Giorgio

GM Data Science, Transformation & Enablement
Australia Post

With thanks to sponsors:

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Advancing Analytics 2020


Sisense offers an independent analytics platform for simplifying complex data and building and embedding analytic apps capable of delivering insights to everyone inside and outside an organization. Sisense allows builders to collaborate on a single platform, delivered in a hybrid, cloud-native environment with low cost of ownership, for democratization of data and analytics. 

More than 2,000 customers worldwide, including large enterprises, Fortune 500 companies, smaller startups, and nonprofits rely on Sisense. UiPath, Tinder, Philips, Nasdaq, the Salvation Army, and other organizations employ Sisense to turn complex data into insights with the speed, power, and flexibility needed to gain a competitive advantage. Learn more at

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Advancing Analytics 2020

Dataiku is one of the world’s leading AI and machine learning platforms, supporting agility in organizations’ data efforts via collaborative, elastic, and responsible AI, all at enterprise scale. Hundreds of companies use Dataiku to underpin their essential business operations and ensure they stay relevant in a changing world. More info:

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Advancing Analytics 2020

Domo’s mission is to help all employees – from the CEO to the front-line worker – optimize business performance by connecting them in real time to the right data and people they need to improve business results. The company works with many of the world’s leading and most progressive brands across multiple industries including retail, media and entertainment, manufacturing, finance and more. For more information, visit