Geoffrey Pidcock
Senior Data Analyst
Atlassian
- Examining the current limitations of AI and the areas most ripe for further expansion
- Highlighting the importance of narrow AI as a tool for future business growth
- Clarifying how AI utilises big data to analyse trends and patterns allowing for more precise decision-making and business predication
Kay Firth-Butterfield
Head of AI and Machine Learning
World Economic Forum
Noel Jarrett
Jeff Frazer
EY Oceania Director, Intelligent Automation and APAC Intelligent Automation Managed Services Leader
EY
- Examining the role AI and data analysis plays in improving delivery of government services
- Enhancing data across government departments
- Rolling out new and improved services based on quantifiable data and long-range planning
Dr Ian Oppermann
NSW Government Chief Data Scientist
NSW Department of Customer Service
Jim Edwards
Director Analytics
Avanade
- What do you recommend as the most critical focus areas to investigate before launching new AI scaling pilot programs?
- What are the best strategies for overcoming bottlenecks to ensure that data is easily accessible?
- What are the critical requirements necessary to understand before attempting to scale AI?
- What are the key challenges organisations face when they begin trying to scale their AI, and how can they overcome these challenges?
Panel Moderator:
Dr Nandita Sharma
Director – Data Science
Australian Taxation Office (ATO)
Panellists:
Joanna Gurry
Chief Data Officer| Executive General Manager
NBN Co
Dr Rose Skandari
Data Science Manger
ME Bank (ACS top 25 analytics leaders 2020)
Dr Artak Amirbekyan
Head of Data, AI & ML
Transurban
Aruna Pattam
Head of AI & Data Science - Asia Pacific & Middle East (APME)
HCL Technologies
Dr Liming Zhu, Research Director, Software and Computational Systems and Interim Director, Engineering and Design, CSIRO’s Data61, joins us to discuss some of the exciting work CSIRO’s Data61 are doing in AI to enable Australian industry to deliver innovative products and services. Dr Zhu will also discuss operationalising high-level responsible and ethical AI principles in products and how as a by-product of ethical AI some programs are actually generates better functional products and services
Facilitator:
Dr Leila Alem
Adjunct Professor – Human-Computer Interaction
University of Technology
Special Guest:
Dr Liming Zhu
Research Director, Software and Computational Systems and Interim Director, Engineering and Design
CSIRO’s Data61
- Showcasing what’s gone wrong with the use of AI and why
- Uncovering the critical challenges of using AI ethically
- Examining the key considerations to use AI responsibly
- Determining why there is a need for a global approach to implementing AI responsibly and looking at the work already underway
Aurelie Jacquet
Chair – Standards Australia Committee on Artificial Intelligence
Standards Australia
- Addressing critical privacy concerns when compiling large volumes of client data
- Understanding the importance of developing a clear protocol for the ethical use of data before you start
- Planning to mitigate risk; using data to develop AI products ethically and avoid costly mistakes
- Examining ethical issues as they relate to AI
- Highlighting the responsible stewardship of trustworthy AI
- Understanding the difference between Ethics of AI and Ethical AI
- Developing a strong framework for building Ethical AI
- Discussing AI for Humanity/Good and CSR (Corporate Social Responsibility)
Dr Mahendra Samarawickrama
Manager – Data Science and Analytics
Australian Red Cross