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

Conference Day Two: Wednesday, 14th August 2019

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

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

9:10 am - 9:50 am JOINT PLENARY - KEYNOTE: How CBA Are Leveraging Data Science And AI Capabilities To Continuously Better Customer Experience

CBA are leading the way with innovations in the AI space. Their Customer Engagement Engine is testament to this, using complex data scienceto build capabilities which are bolstering fraud prevention, operations and customer experience. In this session Dan shares his expertise on the customer centric thinking behind the data science work being done and the ethical implications of working with AI for both customer and company.

- Building the Customer Engagement Engine to analyse next best conversations: what does this engine mean for customers
- How the CEE can be simultaneously leveraged to better fraud prevention
- Three critical stages to ensuring your use of AI is ethical:
  • acting ethically
  • measuring the ethical action
  • explaining the AI involved
Dan Jermyn, Head of Data Science at Commonwealth Bank Australia

Dan Jermyn

Head of Data Science
Commonwealth Bank Australia

Interactive Discussion Groups


9:50 am - 10:50 am The Ethical Use Of AI In Enterprise
Artificial intelligence and machine learning involve the use of huge amounts of data. How data is handled and the analytics work which is necessary to leverage such automation must include consideration of what is in the customer’s interest: Where is the value? And what would be inappropriate use of data? In this session the ethical considerations which must be made when implementing AI initiatives in business will be discussed.
Michael Pullen, Head of Data Science at Macquarie Bank

Michael Pullen

Head of Data Science
Macquarie Bank


9:50 am - 10:50 am How to successfully integrate AI into business priorities and gain leadership empathy with the benefits of transformation
In this session, Mike will lead a discussion around techniques for aligning with leadership priorities when embarking on new AI initiatives. Gaining leadership understanding and advocacy can mean the difference between receiving funding and achieving success. Communicating the value of their work and negotiating priorities is therefore key for the AI practitioner.
Mike Lee, Chief Data Officer at Boral

Mike Lee

Chief Data Officer

IDG Three

9:50 am - 10:50 am Artificial or Augmented Intelligence? How to Best Frame the Concept of AI to Assist Human Resources
In this session, the group will discuss challenge the current perception of artificial intelligence and how the Public Sector can better frame the benefits of AI in assisting human activity and balance both resources to improve the overall interaction between humans and machines.
Angela Stengel, Head of Content Ideas Lab at Australian Broadcasting Corporation

Angela Stengel

Head of Content Ideas Lab
Australian Broadcasting Corporation

IDG Four

9:50 am - 10:50 am Attracting and Retaining Data Science Talent
Join this discussion to explore the capabilities required to accelerate data innovation in organisations and how to train existing as well as new staff with the skills they need to succeed in an data-focussed future?
Pon Rajvong, Senior Manager Data Science at ASIC

Pon Rajvong

Senior Manager Data Science

10:50 am - 11:20 am MORNING TEA


11:20 am - 12:00 pm How AGL Are Building Capability Models To Harness The Value Offered By Artificial Intelligence
Enterprise architecture units such as that at AGL, are harnessing AI to allow for long term progress across business units. Vivek talks here of their work in communicating the value AI capabilities can bring to the business.

  • Understanding the capabilities which can be afforded to a business by AI
  • Constructing a capability model to accommodate AI
  • Building awareness of the long term investment of deep learning and machine learning in the business
  • Use cases: Machine Learning to predict generation and consumption, Chatbots to increase economic efficiencies
Vivek Pande, Enterprise Architect Lead for AI, Automation & Integration at AGL Energy

Vivek Pande

Enterprise Architect Lead for AI, Automation & Integration
AGL Energy


12:00 pm - 12:40 pm Allianz APAC Case Study: Application of Machine Learning for Intelligent Customer Profiling, Risk Management and Product Development
Allianz have been experimenting with their data stacks and Machine Learning initiatives in order to translate behavioural patterns in the data into informed customer products and services. Their models intelligently market to customers while also predicting fraud and evaluating risk.

  • Analysis of data sets to intelligently target customers within a portfolio
  • Using AI to increase efficiencies and reduce costs within the business
  • Building models to predict risk and fraud: innovations in design of Machine Learning models
  • The challenge of enriching the data sets of the ecosystem
Lawrence Wee, Chief Data Scientist at Allianz Asia Pacific (Singapore)

Lawrence Wee

Chief Data Scientist
Allianz Asia Pacific (Singapore)


11:20 am - 12:00 pm How Energy Australia Are Constructing A Governance Framework To Improve Risk Management In AI Implementation
Energy Australia have observed a disconnect between the work being done in the AI space and actual implementation of this work within the business. The huge impact of AI and Machine Learning means that models must be adapted to ensure successful integration. Here Hoang highlights how Energy Australia are constructing a governance framework to guide this process.

  • The consequences of an AI suite on business operations and where we saw a gap
  • The productionisation process: the need to integrate new AI into our existing structures
  • Building models to ensure transparency in machine learning across the business – ‘The Next Best Action’
  • The need for a governance framework to assist in risk management
Hoang Thai, Lead Data Scientist, Data Science and Analytics at Energy Australia

Hoang Thai

Lead Data Scientist, Data Science and Analytics
Energy Australia


12:00 pm - 12:40 pm Boral Case Study: How A Legacy Institution Is Approaching The Introduction Of AI To Optimise Operations On A Global Scale
As a global manufacturing corporation, Boral are looking to introduce automation into their processes in order to better operations and improve their ROI. In order to do this they must first unshackle themselves from the traditional, legacy governance models and introduce a new approach. In this session Mike will share his strategies to overcoming such legacy roadblocks and the AI initiatives which have developed as a result at Boral.

  • The challenge of introducing AI into the operations of a traditional enterprise
  • Leveraging AI automation to optimize machinery and improve efficiency of output
  • Key successes and lessons learned in execution
  • Thinking outside of the box thanks to AI offerings: Trialing computer vision technology to help improve safetyto help improve safety
Mike Lee, Chief Data Officer at Boral

Mike Lee

Chief Data Officer

12:40 pm - 1:40 pm LUNCH


1:40 pm - 2:20 pm The Innovation journey: How Allens Are Using Automation And Targeting Specific Problems With Tailored Solutions
When looking at how they can innovate within business functions, Allens consider design thinking to be key to success. Understanding the problem before building the solution minimizes any waste of resources and time. Here Caitlin talks of the opportunities, challenges and strategies for successful AI integration.

  • The holistic, design thinking view of implementing innovation
  • Opportunities and challenges for automation in different parts of the business
  • The problem as the starting point of solution building
  • Communication: breaking down silos and building awareness of AI solutions across the business.
Caitlin Garner, Head of Practice Efficiency at Allens

Caitlin Garner

Head of Practice Efficiency


2:20 pm - 3:00 pm Money Me Case Study: Artificial Intelligence As The Key To Business Success In An Increasingly Digital Landscape
MoneyMe are exploring artificial intelligence offerings to improve their service provision. As a digital first business they are well positioned to leverage technological innovations and here they share their techniques for implementation from the digital first perspective which can be transferred across industry.

  • Perspective from a digital first business: What AI means to MoneyMe
  • The changing business environment signaling increased implementation of AI
  • The fundamental benefits that artificial intelligence brings to business processes
  • The back-end frameworks needed to support artificial intelligence initiatives
  • Predictive modeling which informs product and service provision at MoneyMe
Aaron Bassin, Head of Corporate Development at MoneyMe

Aaron Bassin

Head of Corporate Development


1:40 pm - 2:20 pm How Gumtree Are Using New Age Technologies To Improve Risk Management and Customer Experience
Gumtree are strengthening their services through the adoption of artificial intelligence solutions. Magda will outline here the integration of predictive messaging enabling efficient customer communication as well as fraud detection enabled through machine learning.

  • Balancing a customer centric outlook with achieving business objectives
  • How engineering predictive messaging is bettering the customer experience on our platform
  • Fraud prevention: Machine learning to understand and predict common behavioural patterns
  • AI and automation in quality assurance
  • Data analytics for efficient marketing and reengagement
  • The shortfalls of data learning components
Magda Griffiths, Senior Product Manager at Gumtree/Ebay

Magda Griffiths

Senior Product Manager


2:20 pm - 3:00 pm The Skills, Strategy And Executive Education Needed To Produce A Successful Data Science Capability
The success of a data science team depends on various factors such as the industry, company culture, maturity of analytics and availability of data for analytics. The attitude of the senior leaders will also have a huge impact on whether data science is leveraged as a fundamental piece of the corporate strategy or does the minimum to comply with a regulatory environment. This session will discuss successful data science practice.

  • Creating and maintaining a data science team that can deliver significant bottom line value.
  • The differences between science and engineering.
  • Data strategy: identifying useful data science projects and working on wicked problems.
  • Effective change management and communications as paramount.
  • Deploying and executing a machine learning algorithm in a production environment: From lab to factory.
Jonathan Robinson, Principal Data Scientist at ANZ

Jonathan Robinson

Principal Data Scientist

3:30 pm - 4:00 pm AFTERNOON TEA

3:30 pm - 4:10 pm JOINT PLENARY: Proof of Concept – Use of AI for Text Recognition at Energy Safe Victoria

At Energy Safe Victoria, there is a growing number of potentially unsafe electric appliances listings on online selling platforms. To address this, the team had developed an audit targeting mechanism for cross-checking product descriptions (brand and model number) with Electrical Equipment Safety Scheme (EESS) database to ensure compliance with the Australian Safety Standard. Join this session to gain insight into:

  • Utilising cloud computing services to achieve greater efficiencies
  • Shifting the mindset of the team to be more proactive in problem prevention
  • How their analytics system improved safety and monitoring of electrical appliances
Yuriy Onyshchuk, Chief Technology Officer at EnergySafe Victoria

Yuriy Onyshchuk

Chief Technology Officer
EnergySafe Victoria

4:10 pm - 4:50 pm JOINT PLENARY: ATO Case Study: A Strategic Approach to Adopting AI for Service Delivery

Embracing AI brings a range of opportunities, growth, excitement and challenges in large data rich organisations like the Australian Taxation Office (ATO). Due to the rising demand, it is imperative to deploy AI into such enterprises - needing executive support to cultivate a framework and an appropriate culture, and investing in IT infrastructure and the right talent.

  • Highlighting data-driven service delivery at ATO, its empowerment through AI, reviewing current AI practice and its future potential
  • Methods for adapting existing AI capabilities and acquiring new for enhancing quality service delivery
  • Deploying AI – learnings on our journey from proof of concepts, development stages through to production and deployment
Dr Nandita Sharma, Director - AI & Data Science at Australian Taxation Office

Dr Nandita Sharma

Director - AI & Data Science
Australian Taxation Office

4:50 pm - 4:50 pm Chairperson Closing Remarks and End of Conference