CDAO Perth 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!

• Engaging stakeholders across the organization to understand their data needs and priorities
• Establishing a data office or centre of excellence to drive execution of data initiatives
• Exploring emerging trends and technologies that will shape the future of data and analytics

• Elevating Data Strategy: Learn about practical AI applications that can take your data strategy to new heights, delivering tangible results in security, governance, and productivity.
• Enhancing Data Security: Discover how you can safeguard your data, ensure robust protection, and maintain compliance with strict data protection regulations.
• Streamlining Governance Practices: Explore how compliance monitoring, data quality improvement, and efficient data access controls can ensure regulatory adherence and strengthen overall data governance.
• Boosting Productivity: Explore how AI tools can automate data processing, provide intelligent analytics, and optimize workflow management, breaking down silos and significantly increasing efficiency and productivity.

• Addressing the significance of robust governance frameworks as a bedrock for successful AI adoption, ensuring ethical and responsible use of AI technologies.
• Ensuring AI is accessible to employees and that they are equipped with the skills to engage with the technology, while maintaining transparency and accountability through effective governance practices.
• Examining the comprehensive costs of AI adoption, including talent acquisition and retention, technology infrastructure, data quality and availability, and ethical considerations.

Moderator

• Durjoy Patranabish, VP – Head of Global Business, Tiger Analytics

Panellists

• Dan Dell’Agnello, Head of Data Engineering, HBF Health Limited
• Piyush Lalwani, Data Engineering Manager, RAC WA
• Mark Balding, Executive Manager - Business Transformation, Data & Systems, Thermomix in Australia
• Jeffery Ansah, Principal Product Owner - Advance Analytics & Data Products, Rio Tinto
  
• Tim Sondalini, Innovation Lead, WA Data Science Innovation Hub (WADSIH)
  

• Harnessing the power of AI/ML and data analytics while ensuring responsible use new technologies
• Strategising the use of data to optimise operations, identify new opportunities, and gain a competitive edge
• Fostering a culture that values data-driven decision making at all levels of an organization

• Understanding EU AI Act and its impact globally, and what are the implications on business
• Western Australia's Privacy Laws – key changes and how will these impact AI adoption
• Ensuring transparency and accountability in AI systems, particularly in the context of regulatory frameworks

Panellists

• Krista Bell, Director, Data & Information Governance, Curtin University
• Nicole Byrne, Director Corporate Information, Department of Communities
• Carl Orchard, Coordinator Information Management, City of Stirling
  
• Rutu Ayachit, Manager - IM Services, Digital Technology & Innovation, CITIC Pacific Mining
  

• Explore the impact of AI on traditional data management and the rise of AI-powered solutions.
• Discuss key trends, including Data Management for AI and managing data for generative AI models.
• Highlight Informatica’s role in enabling efficient, scalable, and secure AI-driven data management.

• Data Operations and Analytics is about People and Process – Technology is an aside and sometimes a distraction.
• Developing clear data policies, defining roles and responsibilities, and implementing comprehensive data stewardship programs – Closing the loop through human behaviour modification principles.
• Vision, roadmaps and the Enterprise Data Platform – Consistency is the key.
• Building the bridge - Investment in data.

• Leveraging LLM in AI decision-making processes
• Understanding the potential risks and downfall of AI adoption in business decision-making, and ways to mitigate these
• Determining the viable use for LLM in an organisation

The rise of cloud-based enterprise analytics platforms has led to an increasing proliferation of users of analytics tools across traditional business functions. This democratisation of analytics is encouraging a shift in how these departments operate. AI, formerly the domain of experienced data scientists, is now at everyone’s fingertips. How do analytics leaders navigate this cultural change, encourage growth, and enable business success, while managing governance, risk, and compliance? A case study is presented on developing an advanced analytics solution in a traditional enterprise department.

• Need for AI governance and guardrails. Why should AI be safe, ethical and trustworthy?
• Impacts of governance and guardrails on AI strategy of the organisations. How can organisations manage this change?
• Benefits and (current) gaps of AI governance and guardrails for organisations (including developers and deployers)

• Exploring how Thermomix democratizes data by providing team leaders and consultants with access to complex data assets through Salesforce
• Highlighting the integration of various data sources into Snowflake and the use of DBT for maintaining data governance
• Describe how Thermomix leverages Roy Morgan’s Helix personas to augment sales data for better marketing personalization

The presentation will cover the following:

• Bright Shiny Tools
• Limitations of human perception
• Some key questions to ask yourself
• Data Governance and compliance
• Fundamentals of designing for an AI future
• Pitfalls you might encounter
  • Data Classification (PI and Sensitivity)
  • Legislation and Compliance (SOCI)
  • IoT integration
• To LLM enable or not?

• Leveraging data and analytics to drive innovation and improve patient outcomes
• Understanding the foundation for meaningful insights – robust governance, effective data management, and leveraging trusted data
• Empowering decision-makers to utilize data in their processes by fostering a culture that embraces data-driven decision making

Over the last three years, we have surveyed data leaders throughout Australia about their pain points. The survey results are in! Let's examine the challenges you identified and then explore solutions.

• Exploring how agentic frameworks are transforming AI’s role in engineering and operational workflows
• Leveraging AI to optimise maintenance strategies and improving operation efficiency – from data collection to feedback loop
• Understanding the challenges to design and build solutions to become a sustainable world

In this session, Topdrill will showcase its three-year journey from a traditional drilling company relying on siloed systems and spreadsheets to a data-driven organization powered by Snowflake’s AI Data Cloud. Through real-time monitoring of IoT-equipped rigs, streamlined analytics, and predictive insights, Topdrill has transformed its operations, improving safety compliance by 50% and achieving significant customer satisfaction. This presentation will highlight how Snowflake enabled Topdrill to consolidate its data architecture and optimize rig performance while paving the way for future growth through dimensional modelling and advanced data science capabilities. Join us to discover how Snowflake has played a critical role in Topdrill’s innovative approach to data and operational excellence.

Speakers:

• Dr Vahid Golkar, Data and Analytics Manager, Topdrill
• Brian Dowdle, General Manager, Operations, Topdrill

In this audience-driven interactive strategy session, we will discuss how different industries can work together to shape the future talent of data and analytics.

Talk points will include:

• Developing data literacy and upskilling the workforce to enable data-driven decision-making – understanding the importance of providing data training and tools to empower faculty and staff to effectively utilize data in their day-to-day work.
• Emphasising the critical role of the Chief Data Officer in leading data-driven initiatives and fostering a data-centric culture across the organization.
• Collaborating with industry partners to drive innovation and address real-world challenges through data-powered solutions.
• Where does GenAI stands in solving challenges for data leaders and if it is a solution to challenges to acquire data talents?

Moderator

• Doug Robertson, Director & Principal Consultant, DR Analytics Recruitment

Panellists

• Harpreet Khalsa, Chief Data Officer, Edith Cowan University
• Anya Jones, Senior Data Scientist, INSiGENe 
• Chris Chapman, Manager – Data and Digital, Wesfarmers Chemicals, Energy & Fertilisers
• Paul Hunt, Data & Analytics Manager, Club Assist