CDAO Brisbane schedule

During this 5-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?
  
  

Speaker

Khoi Hoang MDM Field CTO Informatica

Interviewer:

Emma Liversidge, Advisor, Queensland AI Hub

• 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?

Moderator:

Feiselia Tan General Manager - Data and AI Solutions Telstra

Panellists:

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

Mysun Mathukutty Manager, Data Management and Governance Queensland Building and Construction Commission

Enterprises are adopting GenAI at breakneck speed. According to a Mckinsey survey, it has taken less than 2 years to achieve 65% adoption rate vs 10 years (approximately) for Predictive ML. What we hear is that GenAI projects are typically not replacing Predictive ML projects and are overall boosting the adoption of AI/ML. Predictive ML still remains important and Enterprises are continuing to maintain their investment in Predictive ML. With the Snowflake AI data cloud, this is exactly what you get - a solid data foundation where you can easily bring together all your data, whether that data is in Snowflake, a Data Lake or being shared by a data provider or partner. In this session, hear how having high quality data as the foundation ensures that you can build high quality AI models and apps.

• 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

Moderator:

Michaela Shea AI & Data Strategy Leader | Founder Women in AI Book Club

Panellists:

Chris Malcolm Chief Data & Products Officer P&N Group

Shane Downey General Manager, Enterprise Data Management Allianz Partners Australia

Mozhgan Memari Senior Lead Data Governance University of the Sunshine Coast

• What are perverse metrics and how do they impact your business?

• How does AI worsen the effects of perverse metrics, and what can be done about it?
• How do these challenges flow through to AI Agents?
• Learn how Domo is advancing AI by modelling business KPIs explicitly – to make sure your AI Agents know what success looks like
• Hear from Domo customer Harcourts (Nick Hewitt) about the importance of clear business KPIs and potential impact of AI

• 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

AI can elevate your business to the next level of data intelligence, but research shows that only 4% of businesses believe their data is AI-ready. To ensure AI results you can trust, you need accurate, good-quality data underpinning it. In this presentation, we’ll explore:

• The impacts of delivering data that is not AI-ready
• The essential data governance & quality considerations that will set you up for AI-success
• Practical solutions to common AI challenges such as AI bias, and lack of contextual relevance

During this session, the audience will break up into 6 tables to discuss the data and AI risks around these key issues and how they impact the data and analytics functions. Each table has a dedicated theme for the discussion.

After 45 minutes, each table will have a representative summarise their groups findings to the room. Each summary should be between 2-3 minutes.

Roundtable Sessions:

Table 1: Architecture and Governance

Moderator: Nicholas Moss Manager, Data Services Queensland Police Service     

Table 2: Bias and Fairness

Moderator: Bismi Palatty Manager, Data Platforms and Integrations Alfred Health

Table 3: Workforce Impact

Moderator: Feiselia Tan General Manager - Data and AI Solutions Telstra

Table 4: Commercialising Data

Moderator: Michaela Shea AI & Data Strategy Leader | Founder Women in AI Book Club