AIIA and KPMG: Navigating AI Report Roadshow – Adelaide
Join Dean Grandy, Partner at KPMG, Simon Bush, CEO at the AIIA, and expert panellists in unpacking how AI can be safely adopted across business and government. The event will also discuss the AIIA and KPMG major paper, Navigating AI which is an innovative guide to the development, use and adoption of Artificial Intelligence.
In the 21st century, machine learning, automation and AI are shaping up as the next great frontier for society to understand and adopt. Technology is advancing at an unprecedented rate, with innovations such as ChatGPT changing the game for universities, artists, technologists and lawyers alike. The AIIA and KPMG have partnered in the belief that industry, including businesses of all size, require greater confidence and guidance in adopting these technologies for the benefits of their customer and society at large.
Lead Partner, Technology – Infrastructure, Government & Healthcare
Dean is a government digital and business transformation specialist with extensive experience in the Federal Government domain. He delivers management consulting engagements to a wide range of public sector clients both nationally and internationally, with a focus on the design and delivery of government programs of scale, complexity, and national significance.
Based in Canberra, Dean is the Lead Partner for KPMG Australia’s Technology for Infrastructure, Government & Healthcare (IGH) group, and leads the Modernising Government strategic initiative within Management Consulting.
Dean began his career as a non-politically aligned Ministerial advisor. Prior to KPMG, he worked as a Lead Partner in Federal Government for an advisory firm, and a Senior Executive at a global systems integration firm.
Chief Executive Officer
Simon is an experienced business leader and strategic thinker with a career covering government, ICT, management consulting and media sectors. Simon has advised many of the world’s leading business consulting and technology companies in developing and implementing business strategies including assisting clients win large transformation deals as well as shape government policy and procurements worth billions to the industry.
Simon joined the AIIA as Head of Policy and Advocacy in 2019 before being appointed, via a competitive process, to the role of CEO in 2022. Simon’s early career included being a senior ministerial adviser in the federal government and held a senior management role at Accenture before setting up his own advisory and consulting business in 2003. Prior to joining the AIIA, Simon was also the long-term CEO of the Australian Home Entertainment Distributors Association (AHEDA). Representing the $1.2 billion Australian home entertainment film and TV industry with members including: Disney, Foxtel, Warner Bros, Sony, Universal, Roadshow, Madman, Paramount and Fetch TV.
Simon has an Honours degree in Political Science from the Australian National University and the University of California, San Diego. He is a Fellow of the Institute of Managers and Leaders and a Graduate of the Australian Institute of Company Directors.
Chief Data Officer / Executive Director, Office for Data Analytics
Department of the Premier and Cabinet
Peter has led strategic, operational and technical teams in the public, private and statutory sectors for the past 20 years. His experience includes the three sides of insurance (service provider/ insurer/ regulator), implementing strategic reforms to improve customer experiences and transforming organisations to be data-driven and outcome focussed. From running a small business in Adelaide in the late 1990’s to working for an ASX20 company in Sydney, Peter has real world understanding of the value of customer service, data and culture. For over three years at WorkCover, he was responsible for claims operations and policy spanning from client interface through to responsibility for $500m a year of payments.
Peter previously led the ICT and Digital Government team of 160 staff including: whole-of government ICT, Digital Government, Cyber Security and Governance.
Peter currently is the Chief Data Officer, leading the South Australian whole-of-government Office for Data Analytics to lead information sharing and analytics initiatives across government, supporting evidence-based service design, using predictive analytics to inform policy development and ensuring the value of South Australian Government data assets are
Peter holds a Bachelor of Health Science (BHSc) from the University of Adelaide andmajored in Physiology and Pathology (Distinction).
Professor Anton van den Hengel
Director, Appplied Science at Amazon, Centre for Augmented Reasoning (CAR) & Australian Institute of Machine Learning (AIML)
University of Adelaide
Anton van den Hengel is a Director of Applied Science at Amazon, the Director of the Centre for Augmented Reasoning at the Australian Institute for Machine Learning (AIML), a Professor of Computer Science at the University of Adelaide, a Chief Investigator of the NHMRC Centre of Research Excellence on Healthy Housing, a Fellow of the Australian Academy of Technology and Engineering and a Fellow of the Royal Society of South Australia. The Centre for Augmented Reasoning (CAR), established in 2021, represents a $20m investment by the Australian Government in AI research. Prof van den Hengel was also the founder of AIML, Australia’s largest machine learning research group. Professor van den Hengel has been a CI on over $80m in research funding from sources, including Google, Facebook, Canon, BHP Billiton, and the ARC.
Prof van den Hengel has won several awards, including the 2021 Australasian AI Outstanding Service Award, the Pearcey Foundation Entrepreneur Award, the SA Science Excellence Award for Research Collaboration, and the CVPR Best Paper prize in 2010. According to Google Scholar, he has authored over 400 publications, has an h-index of 75. He has had 8 patents commercialised, formed 5 start-ups, and had a medical technology achieve first-in-class FDA approval. Current research interests include deep learning, vision and language problems, image-based modelling, and weekly supervised learning.
Australian Institute for Machine Learning (AIML)
Before joining AIML in October 2020 he was an associate research professor at Carnegie Mellon University’s Robotics Institute in Pittsburgh, Pa. Professor Lucey has received various career awards, including an ARC Future Fellowship (2009-2013). His research interests span computer vision, machine learning, and robotics. He enjoys drawing inspiration from AI researchers of the past to attempt to unlock computational and mathematical models that underlie the processes of visual perception.
Thank you to our sponsor