13 - 14 August, 2019 | Novotel Sydney on Darling Harbour, Sydney, NSW

Conference Day One: Tuesday, 13th August 2019

8:30 am - 9:00 am COFFEE & REGISTRATION

9:00 am - 9:10 am Opening Remarks from Conference Chairperson

9:10 am - 11:30 am JOINT PLENARY - INTERNATIONAL KEYNOTE: Apple: The Power of AI To Optimise Product Provision and Customer Experience

Apple need little introduction as a world leader in the technology space. With 588 million users worldwide, their strategy for innovation is not only leading but also a key focus for business advancement. Their data science team work around the clock on new and exciting projects to be introduced to the field and here Bhairav will discuss this work

  • Building intelligent models for field deployment
  • Advanced data analytics and subsequent design improvement
  • Machine learning and neural networks to predict performance and understand customer needs
  • Security issues when working with AI
Bhairav Mehta, Data Science Manager at Apple (USA)

Bhairav Mehta

Data Science Manager
Apple (USA)

It is well known that there are different forms of artificial intelligence. However, there is some debate as to how to define AI. We are not all operating from the same definition of the term and while the foundation is generally the same, the focus of artificial intelligence shifts depending on the entity that provides the definition. Here experts will join a panel to discuss different approaches to what AI means, how to define it and what this signals for the enterprise.

  • How can we define artificial intelligence?
  • The consequence of definition on business operations and processes
  • Delivering the vision: successfully communicating the function and value of AI in your enterprise
Angelo Klin, Data Scientist & Education Committee Member at Data Science Institute of Australia

Angelo Klin

Data Scientist & Education Committee Member
Data Science Institute of Australia

Christoph Bergmeir, Research Fellow & Lecturer in Data Science and AI at Monash University

Christoph Bergmeir

Research Fellow & Lecturer in Data Science and AI
Monash University

Jonathan Chaitow, Head of Architecture at Transurban

Jonathan Chaitow

Head of Architecture

Vivek Pande, Enterprise Architect Lead for AI, Automation & Integration at AGL Energy

Vivek Pande

Enterprise Architect Lead for AI, Automation & Integration
AGL Energy

10:30 am - 11:00 am Speed Networking

11:00 am - 11:30 am MORNING TEA

Stream chair : Michelle Kempster
Head of Data Governance and Quality


11:30 am - 12:10 pm Vocus Case Study: Engineering Autonomous Networks To Advance Internal Systems And Ensure Quality Service Provision
To introduce AI into business operations, organisations must be aware of the reconstructions which must occur to business frameworks to ensure successful application of AI into enterprise. The benefits of autonomous network as well as the complexity of the process and the security needed are discussed here.

  • Our focus on constructing autonomous networks – why and how?
  • Reconstruction needed on the back-end to facilitate successful implementation
  • High complexity and the subsequent need for better security – considerations and planning
  • Case study: engineering a self healing network which configures itself
Ingrid Schnell, GM of Strategy and Architecture at Vocus Australia

Ingrid Schnell

GM of Strategy and Architecture
Vocus Australia


12:10 pm - 12:50 pm The Roadmap From Finance Modernisation to RPA/AI Solutions
As part of an ongoing program to modernise its corporate payment processes, the Reserve Bank (RBA) is working towards investigating opportunities to further automate processes through the possible introduction of RPA/AI solutions. Here King, who has background on modernising finance systems and processes, explains the journey to date and some initial thoughts on the potential for RPA/AI solutions to be adopted.

  • Considerations of how automation can improve processes and provide efficiency gains
  • Review and streamline processes and policies to standardise rules for possible RPA/ AI implementation
  • Prioritisation of value add processes for automation
  • Successful communication and gaining buy-in from key stakeholders
  • Potential approach to RPA/AI implementation
King Tam, Accounting Operations Manager at RBA

King Tam

Accounting Operations Manager

Stream chair : Dan Jermyn
Head of Data Science
Commonwealth Bank Australia


11:30 am - 12:10 pm How Australian Unity Are Using IoT To Build Medical Applications Which Better Post- Operative Rehabilitation Experiences
AThe innovations in the AI space happening at Australian Unity are groundbreaking. Using IoT, they are constructing a model which will be able to monitor the rehabilitation of post-operative patients. Machine learning will play a role in this. Here Jacek talks of the prototype Australian Unity are experimenting with and the data science involved in the process.

  • Using IoT to build post-operative rehabilitation monitoring devices
  • Back-end machine learning needed to support the medical application
  • Real time data feedback and alerts based on data analytics
Dr Jacek Kowalski, GM of Data Science in Customer & Digital at Australian Unity

Dr Jacek Kowalski

GM of Data Science in Customer & Digital
Australian Unity


12:10 pm - 12:50 pm Telstra: AI In Customer Service Provision And Network Operations And Identifying Opportunities For Future Enterprise Advancement
Telstra have already identified opportunities to leverage artificial intelligence and machine learning and are currently looking to build upon what they have already started experimenting with. Here Mark will share Telstra’s AI journey and what are considered the opportunities for the future.

- The critical steps to building an environment for Machine Learning
- Introducing AI capabilities into the customer service space
  • Leveraging deep learning to produce advanced matching algorithms
  • Chatbots for routine enquiries
  • Augmenting knowledge for front facing staff
- Back-end network augmentation as a result of AI assistance
  • Operations: a tool to rapidly identify problem areas and build tailored solutions
  • IOT and the increasingly virtualsied network
- The future for AI: advanced analytics paired with software systems to build personalized customer networks
Mark Moloney, Machine Learning & AI Solutions Principal at Telstra

Mark Moloney

Machine Learning & AI Solutions Principal

12:50 pm - 1:50 pm Lunch


1:50 pm - 2:30 pm Partnering with AI: Critical Organisational Factors On Establishing Intelligent Outcomes

What matters with successfully scaling AI beyond assembling a smart team, standing up a cloud platform or even spending months on defining an AI strategy? 
This presentation illustrates several critical tasks to help position your organisation on producing intelligent outcomes and not simply technology-driven architectural solutions. It also situates AI in the context of wider business strategy around the growing primacy of platforms, networks and data.

  • Managing enterprise change through AI education and literacy
  • Options for structuring/integrating teams and understanding key business challenges
  • Alternatives for building a data supply chain and acquiring training data
  • Awareness of ethical data sourcing and end user agreements 
  • Establishing governance over data and model protection/transparency: ethical data sourcing and end user agreements
  • Processes for testing and auditing AI-influenced products 
  • Exposure to data valuation and attribution models
  • Tips on democratising AI without resorting to hype and techno-babble
Pete Crawford, Head of Data, Analytics & Automation at Sensis

Pete Crawford

Head of Data, Analytics & Automation


2:30 pm - 3:00 pm How Auto & General Are Adapting Internal Processes To Ready Themselves For An Escalation of The AI Practice
Auto & General have begun the journey of automating parts of their processes, recognizing that AI is no longer an option if you want to remain competitive and grow as a business.
The lessons they have learned in the infancy of their AI experimentation will be shared here to help provide further clarity on the best way to approach artificial intelligence in a large organization.

·The maturity build in the processes environment
·Why cleaning the processes is an essential first step of any AI initiative
·Identifying candidates for automation – when automation is not always the answer
·Lessons learned in the early stages of AI experimentation

Naomi Hunter, Senior manager of processes and continuous improvement at Auto & General

Naomi Hunter

Senior manager of processes and continuous improvement
Auto & General


1:50 pm - 2:30 pm The Department of Human Services: Automation Enabled Through A Virtual Assistant ‘MelissHR’ To Improve Employee Experience And Processes
The Department of Human Services are leading the way in AI innovation, having created the ‘MelissHR’ virtual assistant which is reducing repetitive work for the workforce and subsequently saving valuable time and money for the department. Sue examines the journey of introducing such technology – how it is improving processes and experiences and the challenge of change management at integration.

  • Developing AI capabilities in-house versus outsourcing to a third party
  • ‘MelissHR’, a human resources virtual assistant – inspiration and design
  • Automating repetitive tasks to enable value add to employees
  • Change management and education of the workforce as a necessity of AI implementation
Sue Hamilton, Director of Technology and Innovation at Department of Human Services

Sue Hamilton

Director of Technology and Innovation
Department of Human Services


2:30 pm - 3:00 pm DISCUSSION SESSION: How to Navigate through Citizen Concerns Around Sharing, Management and Use of Personal Data
This session will discuss public sentiment toward artificial intelligence within the public sector as the management of personal data will overlap with privacy issues and if executed poorly, will further increase the gap in citizen confidence.
Kate Carruthers, Chief Data & Analytics Officer at University of New South Wales

Kate Carruthers

Chief Data & Analytics Officer
University of New South Wales

3:00 pm - 3:30 pm AFTERNOON TEA

3:30 pm - 4:10 pm Augmenting Intelligence: Investing in Human Collective Intelligence at the Department of Human Services

DHS invested early into developing capability in the augmented intelligence to improve service delivery with Virtual Assistants, language translation, data analytics, and IVR. The Department has extensive processes in place to identify and mitigate risks, yet the scalability, speed and reach of augmented intelligence technologies and potential systemic impacts on the community, both positive and negative. In this session, gain insight into what has been achieved to date and explore upcoming possibilities in this pivotal time of the ‘Intelligence’ Era:

  • The launch of the Augmented Intelligence Centre of Excellence for Government by Hon. Minister Michael Keenan in November 2018
  • The AI CoE brings together those at the forefront of cutting-edge technology research and development within the Australian community and government to create and deliver world-class outcomes in governance and service delivery innovation.
  • The need to develop frameworks including AI risk and ethics, accountability and auditability, and vendor engagement strategies, as well as a responsibility to contribute to the management of this transition.
Megan Bunfield, National Manager, Online Services, CIO Group at Department of Human Services

Megan Bunfield

National Manager, Online Services, CIO Group
Department of Human Services

4:10 pm - 5:20 pm START-UP PITCH FEST

This session will bring together the most innovative and exciting start-ups emerging in the AI space from across the ANZ region.

Innovators will present their work and give you visibility across cutting edge capabilities.

1 - Being Human - Making Machine, AI and Digital Experiences, Human Experiences
Ben Hanna, Director of Business Development, Soul Machines 

2 - Merlynn: Human-centric AI
Jacqui Jordan, Merlynn Australia

5:20 pm - 5:30 pm Chairperson Closing Remarks

5:30 pm - 5:30 pm NETWORKING DRINKS