CDAO Brisbane schedule

During this 10-minute networking session, the aim of the game is to go and meet three people you don't already know. Use the questions on the screen to guide your conversation. Have fun!

• Bagging a seat at the table – how do we get more CDOs a seat at the board?
• Making data’s impact felt, seen and heard across organisations
• Planning for the future: What challenges do you think will come our way and how should we handle them?
  
  

• Aligning data strategy with broader business objectives to support decision-making and promote innovations
• Striking a balance between data accessibility and responsible practices
• Identifying revenue-generating opportunity to deliver tangible business outcome

• How can we identify and mitigate biases in the data our AI systems use?
• What steps can we take to ensure our algorithms are transparent and accountable?
• How can we incorporate human oversight to enhance the fairness of AI decisions?
• What measures should we implement to regularly audit and update our AI systems for continuous fairness?

Panellists:

Bilal Yousuf Director Business Intelligence and Analytics Queensland Building and Construction Commission

Toni Peggrem CEO Queensland AI Hub

Rimon Rony Head of Data Science & AI (Global Leisure) Flight Centre Travel Group

Conor O'Neill Head of Data Science Compare the Market

• Recognise the increasing importance of multi-cloud environments in business operations
• Leveraging data and analytics to handle diverse workloads and data sets
• Explore effective strategies for implementing multi-cloud environments
• Utilise advanced data and analytics techniques to enhance these strategies
• Achieve operational efficiency and business goals through multi-cloud deployment

Data democratisation and the notion of sharing that data and access has been discusses over the years as an important advancement for data and analytics. However, once you enable that possibility, what are you supposed to do with the data and how do you rapidly uplift capability? Now that I have the data I wanted, what are the necessary change management exercises and processes that you need to consider to build and optimise capability.

• AI governance adoption has been the talk of the town – how has it been challenging data leaders?
• Examples of how AI governance has gone wrong or hasn’t worked
• How governance can lead the way in mitigating the risks posed by AI systems
• Practical AI governance best practices

Panellists:

Chris Malcolm Chief Data & Products Officer P&N Group

Shane Downey General Manager, Enterprise Data Management Allianz Partners Australia

Melissa Winnel Principal Data Scientist Rio Tinto

Ken Lee Team Leader Delivery Analytics Services Powerlink Queensland

• How is AI changing the way we do business?
• Are we optimising AI’s capabilities?
• Processes, procedures and practices

• Driving the conversation around traditional AI and how it’s application can be improved in business usage
• How do you control bias in your algorithms?
• How do you get clean data sets?
• Championing ML and providing external teams with valuable advice on traditional AI

• How AI-driven insights enable hyper-personalised customer interactions, leading to improved satisfaction and loyalty
• Predictive Analytics: Leveraging AI to anticipate customer needs and behaviours, ensuring proactive service and support
• Integrating AI across various customer touchpoints for seamless and consistent experiences, from chatbots to voice assistants

• Communicating the critical role of data governance in fostering trust and building confidence in data assets
• Leveraging well-implemented data governance to enable data-driven decision-making at all organisational levels
• Enhancing operational efficiency and promoting innovation through robust data governance strategies

• What are data catalogues and why should dedicate resources to building them?
• Considerations when it comes to creating your catalogues: What are they for and what business purpose do they serve
• What is a sustainable data catalogue and how can it withstand the test of time?

During this session, the audience will break up into groups of 5-6 to discuss the data and AI risks around these key issues and how they impact the data and analytics functions:

After 30 minutes, each table representative will summarise the groups findings to the room.

Roundtable Sessions:

Table 1: Transparency and Explainability

Moderator: Dr Ali Soofastaei Project Manager for Data Analytics Newmont     

Table 2: Bias and Fairness

Moderator: Bronte Daniell Head of Data Service Practices RACQ

Table 3: Workforce Impact

Moderator: TBC

Table 4: Regulatory Compliance

Moderator: TBC

Table 5: Data Security and Privacy

Moderator: TBC

Table 6: Operational Risk

Moderator: TBC