Conference Day Two: Wednesday, 29 August 2018
8:30 am - 9:00 am MORNING COFFEE
9:00 am - 9:10 am Opening Remarks from the Chair
9:10 am - 9:50 am Investigating the Journey of Data Convergence and the Concerns around Algorithmic Biases in Machine Learning and Artificial IntelligencePeter Worthington-Eyre - Chief Data Officer, Department of Premier and Cabinet, South Australia
Over 12 months ago, the South Australia government began data consolidation across all government agencies. The aim is to use this data to identify problems and opportunities at a holistic level. The main order of business is ensuring the data is ordered and clean and driving the change across 105,000 employees. However the AL and ML components raise critical questions around algorithmic biases and their impact on society’s most vulnerable. The SA government is focused on ensuring that humans are making these decisions with the AI technology stack providing insights to support them. They are also currently working on a risk management strategy to protect the interests of its citizens.
- Understanding the journey of consolidating data from across different agencies and ensuring it is clean and in order
- Setting up an interim BI system to support BAU amidst the change
- Building the Standard Reporting, ML and AI functionality
- Avoiding algorithmic biases by putting the human at the centre of the decision making process
- Controlling for biases: Working closing with practitioners to identify high risk areas
Peter Worthington-EyreChief Data Officer
Department of Premier and Cabinet, South Australia
9:50 am - 10:40 am Ensuring that You Are Meeting Ethical Responsibilities of Citizen Data in AI Applications with Algorithmic Transparency, Accountability and Data GovernanceEvelyn Wareham - Chief Data and Insights Officer, Ministry of Business, Innovation and Employment
New Zealand launched a whole-of-government data convergence program in 2011 to obtain a person-centred view rather than servicecentred view. This has enabled the government to evaluate and identify more efficient pathways for service delivery. The integration of public sector citizen data has raised questions around privacy, information security and ethics around algorithms. This session will look at the steps being taken to ensure optimal protection of citizen data without compromising the quality of AI outcomes.
- Understanding the public sector data convergence program
- Creating a fit for purpose data governance strategy that protects the citizen and ensures the highest level of ethics in the age of AI
- Promoting algorithmic transparency and modelling for effective results
- Having the right expertise in place and building data capability
Evelyn WarehamChief Data and Insights Officer
Ministry of Business, Innovation and Employment
10:40 am - 11:10 am MORNING TEA
11:10 am - 11:50 am Exploring the Opportunities of AI to Drive Better Audience EngagementAlicia Olson-Keating - Head of Audience Data and Insights, ABC
It is an interesting time for the ABC in the age of Netflix. It is a constant challenge to create relevant and engaging local content for its audience, whose behaviours are shifting and demands shifting. Getting a better understanding of the audience is critical to increasing viewership on both online channels, radio and television. They are using a mix of data science, insights and algorithms to reveal what the audience really wants. This session will investigate this as well as addressing the data limitations.
- The benefits of combining both insights and data science to understand changing audience behaviours
- Exploring machine learning , sentiment analysis to understand what the audience really wants as opposed to what they think they want
- Uncovering where algorithms go wrong
- Overcoming the data based deficiencies
Alicia Olson-KeatingHead of Audience Data and Insights
11:50 am - 12:30 pm Implementing Data Science and Data Solutions to Improve Customer Engagement with Better ProductsSveta Freidman - Data Analytics and Science Director, Carsales.com.au
Carsales.com.au uses both statistical information and machine learning to improve customer insights. They also look at ways to commercialize their customer data through new products or a better customer experience. The benefits of machine learning are the sheer volume of data and sophistication of insights that it can derive.
- Tapping into your data to create products your customers want
- Predicting complex variables for a better customer experience
- Effectively supporting machine learning with statistical information for greater accuracy
Sveta FreidmanData Analytics and Science Director
12:30 pm - 1:30 pm LUNCH
1:30 pm - 2:10 pm Ensuring that Your Citizen Data is Secure for AI ApplicationsSilvio Giorgio - GM Data Science and Strategy, Australia Post
The public are justifiably concerned about the data being lost or stolen and government departments have a responsibility to protect both personal and non-personal classified data. It is vital that this should be kept secure. This session will provide a framework on best practice for handling data – how it should be collected, stored, shared, processed and deleted.
- Ensuring good governance over citizen data
- Building awareness within the organization on data security
- Creating an effective risk management framework to optimise data security
Silvio GiorgioGM Data Science and Strategy
2:10 pm - 2:50 pm Real Time Analytics: Getting Your Data in Order to Maximise the ROI of Artificial IntelligenceDr. Carina Kemp - CIO, Digital and Information Branch Geoscience Australia
Your data is critical to the success of your AI initiatives and before you get started you need to ensure that it is in order. A clear strategy is required to ensure the right data is being collected, to outline how it can be most effectively harvested, and how systems will need to adapt to accommodate AI in the future.
- Efficiently organising data to maximize ROI: structuring the collection and utilisation of data
- Planning long-term: developing a data strategy and transformation roadmap
- Developing on Data Analytics/Business Intelligence platforms
- Predicting events in advance to intercept the failure before it happens
Dr. Carina KempCIO
Digital and Information Branch Geoscience Australia
2:50 pm - 3:20 pm AFTERNOON TEA
3:20 pm - 4:00 pm Building Organizational Readiness for AI to Optimise the Potential Efficiency GainsCorrine Cheeseman - Head of Asset Knowledge, Sydney Water
Before beginning on your AI journey you need to ensure that your organization is set-up for the changes it will bring. Structuring data, retraining and educating staff and building technology infrastructure are at the top of the checklist. This session will address strategies to fix any gaps in these critical areas before kick-starting your AI journey.
- Setting up the organization to embrace AI and ML
- Retraining and educating your workforce for new roles
- Overcoming the challenge of unstructured data
Corrine CheesemanHead of Asset Knowledge
4:00 pm - 4:40 pm CASE STUDY: Creating Intelligent Agents to Empower your Employees to do More, Improving Productivity and Efficiency
The session will explore the role of intelligent agents in assisting employees and allow them to focus on higher value tasks. Bots are a conversational interface that allow people to get help fast. These agents are used agents for common help desk tasks like giving employees access to information, helping them with issues, or connecting them to a live agent. With integrated cognitive services, the bots communicate with natural human language through voice or text. They can also detect the frustration level of an employee and route them to a senior technician immediately, if needed.
- Plotting your employee journey across various touch points
- Identifying the main challenges and pain points for which they are likely to call for help: Using surveys and your existing data
- Managing the transition to the bot from a human powered help desk