CDAO Sydney schedule

During this 5-minute networking session, participants can build their network. Have fun!

• Unpacking how organisations are building the maturity of their data capabilities
• Aligning data technology roadmaps with the needs and objectives of the organisation
• Unpacking the foundations for future AI readiness

Moderator:

Mark Fazackerley Country Manager Australia and New Zealand Qlik

Speakers:

Craig Napier Chief Data Officer University of Technology Sydney

Mike Zhou Chief Data Officer InDebted

Niall Stevenson Head of Enterprise Data Governance Ampol

• 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:

Durjoy Patranabish VP – Head of Global Business Tiger Analytics

Speakers:

Ash Nair General Manager - Data Analytics Automation and AI (CDAO) icare NSW

Gina Choutis GM Data & Analytics Vocus

Yoga Yohesvaran Head of Data and Information Governance Formerly at Colonial First State

Speakers:

Brad Starr VP, Technical Sales Informatica

Jon Bowring Field Engineer Informatica

Agentforce is transforming business with a limitless workforce and, together with Tableau, revolutionising analytics to be faster, smarter, and more impactful. Join us to see the future of analytics. 

As AI continues to evolve, it is reshaping the workforce. Machines are increasingly handling high-volume tasks while humans focus on critical, value-driven roles. Data, AI leverage, skill development, human and machine collaboration, and ethics, have all become increasingly important when it comes to supercharging the AI-enabled operating models of the future.  We will share our POV on:

• Data foundation: Establishing a robust data infrastructure to support AI-driven decisions and ensure accurate, real-time insights for both machines and humans.
• AI as an enabler: Leveraging advanced AI methods and frameworks to streamline workflows, automate routine tasks, empower workers with data-driven tools that enhance decision-making, and personalisation of work experiences.
• Tools and platforms: Highlighting AI platforms and collaborative tools that enable seamless interaction between humans and machines, optimising productivity and ensuring scalable, ethical integration of AI into the workforce.
• Up-skilling the workforce: The importance of up-skilling and the role of AI in providing learning and development opportunities for employees, preparing them for the future operating model that includes new roles (e.g. AI maintenance, data curation, algorithm training, etc.)
• Collaboration between humans and AI: The importance of fostering a collaborative environment where AI augments human potential, rather than replacing workers.
• Ethics and the future of work: Addressing the ethical implications of AI integration, including job displacement, privacy concerns, and the need for fair implementation practices.

AI can elevate your organisation to the next level of data intelligence, but research shows that only 4% of organisations 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

• How can you tell what works for your business without investing first? Best practices, tell-tale signs and trends to pick up from the get-go
• Developing a robust AI strategy deeply rooted in your business objectives, data capabilities, and operational realities
• Implementing a data-driven approach comes with numerous advantages that directly impact bottom lines and competitive positioning, such as measurable business goals, informed decision-making, and real-time insights

• The Critical Role of Data Integrity in AI Systems: Exploring how compromised data integrity can result in flawed AI models—often referred to as "bad bots" —that introduce errors and biases into financial ecosystems

• Reducing Risks in Data Pipelines feeding AI Models: Implementing strategies to maintain high-quality data inputs in AI/ML models, minimising the long-term consequences of inaccurate or corrupted data
• Establishing a Resilient Data Framework: Designing comprehensive data integrity check systems to ensure consistent, accurate, and effective AI-driven decision-making

• Insights from Real-World Applications: Analysing how leading financial institutions tackle data integrity challenges and the broader impact on their AI initiatives
• Building Trust in Data-Driven Approaches: Outlining key measures that global financial organisations can adopt to ensure their AI strategies are grounded in accurate and reliable data

Speaker:

Scott Lam Data Conduct: Records Management SME, Group Compliance Standard Chartered

Deepak Kannan Associate Director - Group Data Risk Management NAB

• The evolving threat landscape demands a shift to proactive, data-centric security: Traditional perimeter defences are insufficient so understanding data context is critical
• Leveraging data intelligence for early threat detection, faster incident response, and prioritised security controls
• Collaboration between data and security teams, powered by data visibility, is essential for building true cyber resilience in today's complex data environments

Speaker:

Mark Wroniak Partner Cyber Security McGrathNicol

In today's rapidly evolving generative AI landscape, Chief Data & Analytics Officers (CDAOs) face unprecedented opportunities to revolutionise their organisations. While GenAI integration offers tremendous potential for innovation and competitive advantage, building secure AI systems presents significant challenges.

How do you safely tap all of the unstructured and structured data within your hybrid cloud landscape to feed these AI models? How can you ensure sensitive data is protected? What guardrails are needed to protect AI models from prompt injection and data exfiltration attacks? How do you implement continuous risk monitoring throughout your generative AI pipeline?

Join Tim Stead, Technical Director at Securiti to learn how CDAOs can implement a comprehensive framework to build safe, scalable generative AI systems that drive organisational success.

Key Takeaways:

• Critical risk factors in generative AI implementation
• Four essential components for developing secure, compliant generative AI systems
• Strategic best practices for embracing generative AI with innovative governance and compliance approaches

• From Data to Gold: Discover how to unlock the hidden value in raw data with AI-powered insights that drive transformative outcomes.
• AI with a Conscience: Secrets to building scalable, ethical AI solutions that are transparent, fair, and trustworthy.
• Responsible Innovation in Action: Leverage cutting-edge data tools to create meaningful impact while staying accountable to stakeholders.

The geopolitical uncertainties and the exponential growth of AI transformation are like two tectonic plates colliding, the principle of "No trade without payments, no payments without data" encapsulates the core of our modern economic transactions. This presentation delves into the intricate relationship between trade, payments, and data, highlighting how these elements interconnect to drive commerce in today’s blitzscaling environment.

Audiences will embark on an exploration of how responsible AI innovators can tactically navigate this fast-paced world. The discussion will focus on key pillars of responsible AI innovation, including ethical data usage, transparency, and accountability, all of which are essential for maintaining trust and fostering sustainable growth.

• Is Generative AI really revolutionising data and analytics, driving business innovation and value?
• What are the key trends and forces shaping the integration of Generative AI into business processes
• Learn practical strategies for adapting data practices to support effective AI system development
• Discover actionable insights for redesigning business models and strategies to fully leverage AI capabilities

Traditional BI dashboards are failing because true business value lies in enabling informed, actionable decisions, not static visualisations. Today’s business leaders are moving to decision-centric strategies using real-time, context-specific insights, with modern tools like AI and advanced analytics that transform the decision-making process.

• Readying non-technical teams to work effectively with AI
• Reskilling your workforce for AI adoption requires strategic planning and support
• How should data governance evolve to address the unique challenges AI introduces?
• As AI evolves rapidly, how do we ensure continuous learning and effective feedback loops for the workforce?

Moderator: 

Malcolm Wanstall VP Data Cochlear

Panellists:

Sam Stark Head of Advanced Analytics Capabilities Endeavour Group

Amyn Nathwani Head of Data Governance and Privacy Healthdirect Australia

Anil Arya Head of Data and Technology Australian Conservation Foundation

• Westpac’s data products journey
• How AI Agents enable us to re-imagine data products engineering
• Broader opportunities for AI Agents in technology
• Positive disruption and implications for data engineering across the industry

• What is truly new to data & analytics today?
• How do you envision and deliver robust governance frameworks for successful adoption of new data-driven technologies while ensuring ethical and responsible use of these technologies
• Upskilling employees so 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 the evolving data landscape, including talent acquisition and retention, technology infrastructure, data quality and availability, and ethical considerations
• Myth busting – is technology getting easier? Or is it bringing new challenges?

Moderator:

Simone Roberts General Manager, Data AUSTRAC 

Panellists:

Craig Napier Chief Data Officer University of Technology Sydney

Scott Lam Data Conduct: Records Management SME, Group Compliance Standard Chartered

Michael Storozhev Chief Underwriting Officer PassportCard Australia

Mudit Srivastav Director, Data Science and Engineering Colonial First State

Speakers:

Billy Loizou Area Vice President Amperity

Sam Bessey Solution Lead Amperity

This presentation explores how ethical principles must guide AI development in our rapidly evolving technological landscape. Discover why human values remain essential as we advance AI capabilities and how thoughtful implementation can create systems that truly benefit society.

Learn about:

• The fundamental importance of AI ethics and the risks of neglecting these considerations
• Practical approaches to transparency, accountability, fairness, and privacy in AI systems
• Strategies for building organizational cultures where ethical AI development becomes standard practice

Join us to explore how maintaining the human touch in AI isn't merely an option—it's essential for creating technology that serves humanity's best interests while earning genuine public trust.

• How do you define a data-led culture?
• How do you build and encourage data culture organisation-wide?
• How do you overcome barriers to gain support for building a data-led culture?

Moderator:

Oliver Dwyer Head of Analytics & Data Strategy MYOB

Speakers:

Andy Sutton General Manager Advanced Analytics Endeavour Group

Javed Shaikh Head of Data and Analytics BaptistCare

Andrew Spiegelman Head of Data & Analytics Service NSW

Pia Andrews Serial Public Sector Reformer and ex CDAO

Conducted under Chatham House Rule

• Finding the right literacy strategy for your company
• Devising a literacy plan for the next two years
• Maintenance and upkeep: Keeping the organisation up to date with trends, changes and new ideas

Moderator:

Antony Ginsburg Head of Data and Analytics Bupa Villages and Aged Care – Australia

Speakers:

Imma Chippendale Senior Strategic Advisor, Data Australian Competition & Consumer Commission (ACCC)

Arvind Raghuraman Head of Data Risk Governance NAB

Akansha Aggarwal Data Domain Architect SA Power Networks

Sandeep Mathur Head of Data and Engineering Greenpeace Australia Pacific

Speakers:

Vedvrat Sharma Head of Engineering & Data Screenrights

Vijay Rajagopalan Lead Engineer Screenrights

• Key elements of a modern data governance framework
• Trends and challenges
• What skills are required for an organisation and its people to be effective in an evolving landscape

• How can businesses use data analytics to guide strategic decisions and drive digital transformation? What best practices help leaders navigate data-driven change effectively?
• How would you examine methods for leveraging data to tailor customer interactions, ultimately enhancing satisfaction and loyalty?
• How do you uncover essential performance indicators (KPIs) that assist businesses in assessing the effectiveness of their digital transformation initiatives through data-driven insights?

Moderator:

Gladwin Mendez Advisory Board Member Corinium Global Intelligence

Panellists:

Andrew Spiegelman Head of Data & Analytics Service NSW

Ritesh Deshpande Head of Delivery and Data Governance Southern Cross Care

Tushant Nayyar Head of Data Services QBE

Vedvrat Sharma Head of Engineering & Data Screenrights