Demo Page
Unlocking the Power of Data: AI, Machine Learning, and Beyond for Competitive Advantage
Melbourne, Australia
Hosted by Factor
- 2 attendees
- 8 hours
Overview
As AI and data continue to disrupt industries, the role of the Chief Data Officer (CDO) is rapidly expanding. Explore cutting-edge strategies for harnessing AI, machine learning, and data science to fuel innovation and create competitive advantages. Learn how to integrate AI into business operations responsibly, overcome challenges around data privacy and ethics, and foster a data-driven culture that spans across the enterprise.
What we will cover
- Generative AI Exploring how CDAOs are leveraging generative AI to enhance business operations and align data strategies with organisational goals, ensuring AI adds measurable value.
- Data Governance Examining the crucial role of data governance in building trust within organisations, ensuring data accuracy, and enabling data-driven decision-making.
- Data Efficiency Investigating how data and analytics can drive operational efficiencies, automating processes and improving productivity across the enterprise.
- Competitive Innovation Exploring how CDAOs are using advanced data techniques to innovate, helping their organisations gain a competitive edge in fast-moving markets.
- Data Quality Highlighting strategies for maintaining high data quality, ensuring that accurate, reliable data fuels business decisions and enhances AI capabilities.
- AI Integration Exploring the practical integration of AI and machine learning across business processes, with a focus on delivering real-time insights and improving decision-making.
- Data Privacy Navigating evolving data privacy regulations and ensuring compliance while maintaining robust data protection and ethical AI usage across the organisation.
- Data Monetisation Exploring innovative approaches to turning data into a revenue-generating asset, helping organisations leverage data as a product for business growth.
- Real-Time Analytics Examining technologies that enable real-time data processing and analytics, helping organisations respond faster to market changes and customer needs.
- Data as Product Shifting focus towards treating data as a product, with dedicated governance and management strategies, to enhance its value and usability across the enterprise.
- Data Strategy Ensuring data and analytics strategies are tightly aligned with overall business objectives, driving actionable insights that lead to measurable business outcomes.
- Data-Driven Culture Investigating how to foster a data-driven culture, overcoming resistance to change, and empowering teams to make decisions based on analytics.
Agenda
- Registration and Welcome Coffee(Data + AI Day)
- Welcome Address & Introduction(Data + AI Day)
- Navigating the Tech Frontier: Peer Problems, Performance, Plans and Preparation for Productivity(Data + AI Day) This keynote explores the intricate dynamics at the intersection of technology and business management, focusing on peer challenges, performance metrics, and the strategic plans of CDOs aimed at enhancing productivity. By examining how executives navigate technological advancements and address peer-related issues, the research provides insights into optimising organisational performance and preparing for future tech-driven landscapes.
- Leveraging Real-Time Data to Deliver Real-Time Results(Data + AI Day) With data moving faster than ever, businesses need real-time insights to stay ahead. But is real-time analytics delivering on its promise? Discussion Points: The gap between expectation and reality in real-time analytics How to ensure real-time data delivers actionable insights The future of real-time analytics in decision-making
- Global Megatrends and the Power of C-Suite Fusion(Data + AI Day) Join an expert C-Suite panel as they explore how partnerships among top executives are essential for addressing today’s global megatrends. Moving beyond the buzzwords of fusion teams, this discussion will focus on the importance of collaborative leadership in navigating shifts in technology, governance, and market dynamics, showcasing how integrated strategies can bolster organisational resilience and agility. Discussion Points: Leveraging diverse executive perspectives to tackle complex global challenges. Developing adaptable frameworks to meet governance, technological, and economic shifts. Fostering cross-functional alignment to drive innovation and gain a competitive edge.
- Fact-Checking the Fantasy of Turning Data into Dollars(Data + AI Day) [Fireside Chat] Everyone’s talking about monetising data, but few are getting it right. Learn how to turn your data into a profit centre, not a cost. Discussion Points: Common mistakes companies make when trying to monetise data Strategies for turning data into a valuable business asset The future of data as a revenue generator
- Morning Tea & Networking(Data + AI Day)
- Future of Data Analytics(Analytics Trends) Exploring trends shaping the future of data analytics.
- Unlocking Value from Big Data Techniques for extracting actionable insights from vast data sets.
- Data Strategy for Business Growth Creating effective data strategies to enhance business outcomes.
- Ensuring Data Quality and Accuracy Best practices to maintain high standards in data integrity.
- AI-Driven Data Transformation(AI Transformation) Leveraging AI to modernise and elevate data initiatives.
- Data Privacy and Compliance(Privacy Compliance) Balancing innovation with robust data privacy measures.
- Why Most Companies Get Data-Driven Culture Wrong(Data + AI Day) Building a data-driven culture is harder than it looks. Find out why most companies fail and how to foster a true data-first mindset. Discussion Points: Why data-driven cultures often face internal resistance Practical ways to foster data-driven decision-making Overcoming the ‘data as an afterthought’ mentality
- Does Data Privacy Mean Choosing Between Protecting or Exploiting?(Data + AI Day) [Fireside Chat] In a world of evolving privacy laws, businesses face a balancing act between data-driven innovation and protecting user privacy. Is there a middle ground? Discussion Points: The growing tension between innovation and regulation Ethical AI: navigating the privacy minefield Can businesses really have it all – compliance and competitive advantage?
- Does Failing to Innovate Mean Failing to Thrive?(Data + AI Day) Companies that fail to innovate won’t survive. Hear from leaders who have harnessed the power of data to drive disruptive innovation. Discussion Points: How to use data analytics to outsmart competitors The link between data-driven innovation and market leadership Breaking through internal barriers to innovation
- Lunch Break - Peer Connect & Executive Roundtables(Data + AI Day)
- Data Governance in Action Real-world approaches to ensuring trustworthy, accurate, and well-managed data.
- Data Monetisation Strategies Exploring innovative ways to transform data into a revenue-generating asset.
- Real-Time Data Analytics(Real-Time Analytics) Leveraging real-time data processing to enhance agility and responsiveness in dynamic markets.
- Advanced Data Visualisation Techniques Turning complex data into intuitive visual insights for better decision-making.
- Building a Data-Driven Culture(Data Culture) Overcoming resistance to change and empowering teams to make data-informed decisions.
- Generative AI in Data Operations Practical applications of generative AI to optimise workflows and uncover new opportunities.
- AI Everywhere, But Where’s the Value?(Data + AI Day) Dive into the real impact of AI on business processes and why many companies still struggle to unlock its potential. Explore practical applications that go beyond the hype. Discussion Points: Why some AI initiatives fail to deliver meaningful results The gap between AI adoption and business value Practical ways to ensure AI integration improves decision-making
- Generative AI's Transition from Cutting-Edge Toy to Critical Tool(Data + AI Day) [Thought Leadership] Generative AI promises to revolutionise industries, but how are businesses making it work? Delve into real-world success stories and hard lessons learned. Discussion Points: Is generative AI overhyped or underutilised in business? How to ensure generative AI aligns with your strategic goals Navigating the risks of over-reliance on machine creativity
- Strategy or Guesswork? Why Your Data Plan Might Be Failing(Data + AI Day) [Thought Leadership] Having a data strategy is essential, but is it aligned with your business goals? Explore why so many companies miss the mark and how to fix it. Discussion Points: Why most data strategies fail to deliver business impact Aligning data initiatives with business objectives Creating a data strategy that delivers measurable outcomes
- Garbage In, AI Out: The Data Quality Crisis(Data + AI Day) Without high-quality data, even the most advanced AI tools are worthless. Discover why data quality is now more critical than ever for AI success. Discussion Points: The hidden costs of poor data in AI-driven decision-making Data quality control strategies that keep AI running smoothly The future of data quality in real-time AI environments
- Closing Remarks(Data + AI Day)
- End of Day & Networking Drinks(Data + AI Day)
Partners
- Factor Leading market research in APAC.
More events from this host
- Demo For Live August 2026
- Canva Melbourne Roundtable August 2026, Melbourne
- AI Systems Scale August 2026
- Agentic Brand Control August 2026, The Rocks
- Modern Govt Day September 2026, Canberra
- CTO Day | Melbourne September 2026, Southbank
- Beyond The Data Centre: Building Government At The Edge September 2026, Canberra
- Executive Confidence in Identity and Security September 2026, Chicago