Roundtable Luncheon | Retail Mobility

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

• Data Governance Establishing frameworks to ensure data integrity, quality, and compliance
• Data Strategy Aligning data initiatives with business goals to drive organisational success.
• Analytics Transformation Leveraging advanced analytics to enhance decision-making and operational efficiency.
• Data Architecture Designing scalable data infrastructure to support future growth and innovation.
• Data Literacy Empowering employees with the skills to effectively use and interpret data.
• Data Privacy Implementing practices to protect sensitive information and ensure regulatory compliance.
• Data Monetisation Identifying opportunities to leverage data as a revenue-generating asset.
• Master Data Management Creating a single, reliable source of truth for key business data.
• Data Quality Ensuring accuracy, completeness, and consistency in data across the organisation.
• Data Collaboration Fostering cross-departmental partnerships to enhance data sharing and insights.
• Emerging Technologies Exploring Al and machine learning to transform data utilisation and analysis.
• Data Integration Streamlining data sources for improved accessibility and real-time insights.

Agenda

• 11:30 am Registration and Welcome Coffee(Data+AI Day - Plenary)
• 0:00 pm Welcome Address & Introduction(Data+AI Day - Plenary)
• 0:05 pm Navigating Australia's Evolving Data Landscape: Implications for Organisations, Insights by Factor(Data+AI Day - Plenary) Australia is undergoing significant reforms to its data privacy laws, with the first tranche introduced to Parliament in September 2024, focusing on enhancing regulatory powers and ensuring transparency in automated decision-making processes. These changes aim to strengthen personal information protection and align with global standards. Non-compliance can lead to substantial penalties, making it crucial for organisations to stay informed and adapt. In light of these developments, this session will delve into understanding the new legal requirements, implementing robust data governance frameworks, and ensuring compliance to protect both the organisation and its stakeholders. Discussion Points: Key updates in the Privacy Act and their implications for businesses. Strategies for ensuring compliance with new regulations. Balancing data utility with privacy obligations.
• 0:20 pm AI as a Challenge and an Opportunity with Lessons from Government Innovation and Defence(Data+AI Day - Plenary) Artificial Intelligence presents organisations with both transformative opportunities and significant challenges. Governments worldwide are leveraging AI to innovate, enhance efficiency, and bolster national defence, often navigating complex risks and ethical dilemmas. This session explores key lessons from government strategies and experiences that private and public organisations can adapt to harness AI’s potential responsibly and effectively. Discussion Points: AI Innovations for Organisational Growth Building Resilience Against AI-Driven Risks Creating a Balanced Approach to AI Adoption
• 0:40 pm Global Megatrends and the Power of C-Suite Fusion(Data+AI Day - Plenary) 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.
• 1:05 pm Leveraging Data for Consumer Insights and Innovation(Data+AI Day - Plenary) Join us and explore how centralising consumer data across Nine’s platforms, like Sydney Morning Herald, Stan, and Nine Now, enables personalised experiences and targeted offerings. She’ll discuss leveraging data for innovative product development, including advertising and content strategies, while highlighting the importance of ethical data use to maintain consumer trust and privacy. Discussion Points: Creating a Unified View of the Consumer: Centralising data across business units to gain a comprehensive understanding of consumer behaviour and deliver personalised, targeted experiences. Data-Driven Product Development: Using consumer insights to innovate and improve products, including targeted ads and content strategies. Ethical Use of Data and Consumer Trust: Ensuring consumer privacy and trust by adhering to ethical data practices in collection, storage, and usage.
• 1:25 pm Morning Tea & Networking(Data+AI Day - Plenary)
• 2:25 pm Leveraging Data to Forecast Outcomes and Uncover Opportunities(Predictive Modelling) Forecast outcomes with precision. Leverage predictive models to navigate challenges and uncover opportunities.
• 2:25 pm Bridge Silos for Unified Analytics(Data Unification) Discover the power of integrated data workflows to fuel advanced analytics.
• 2:25 pm Scale Analytics Seamlessly in The Cloud(Cloud Analytics) Explore how cloud-first strategies empower Australian organisations to optimise data insights.
• 2:25 pm Streamline Data Preparation Workflows(AI Transformation) Empower teams to automate tedious processes, enabling faster insights.
• 2:25 pm Enhancing Business Intelligence with AI-Powered Analytics(Data Quality) Enhance business intelligence (BI) with augmented analytics. Understand how augmented intelligence transforms decision-making processes in enterprises.
• 2:25 pm Unlocking Value Through Self-Service Business Intelligence(Empowered Insights) Unlock value through self-service BI. Simplify access to actionable insights, driving agility across organisations.
• 2:50 pm Graphs & GraphRAG - Essential Ingredients for Enterprise GenAI(Data+AI Day - Plenary) Knowledge graphs are emerging as useful and often necessary for bringing Enterprise GenAI projects from PoC into production. They make GenAI more dependable, transparent and secure across a wide variety of use cases. They are also helpful in GenAI application development: providing a human-navigable view of relevant knowledge that can be queried and visualised. This talk will share up-to-date learnings from the evolving field of knowledge graphs; why more & more organisations are using knowledge graphs to achieve GenAI successes; and practical definitions, tools, and tips for getting started.
• 3:10 pm Why Most Companies Struggle to Build a Data-Driven Culture: Lessons from the Frontlines(Data+AI Day - Plenary) Developing a data-driven culture is essential but fraught with challenges. This session explores the complexities of simplifying data landscapes, aligning teams, and embedding data-first practices across the organisation. Gain actionable insights into fostering a data-driven mindset that empowers teams and delivers tangible business outcomes. Discussion Points: Practical strategies for simplifying data environments and enabling cross-functional collaboration Overcoming internal resistance to data-driven transformation Building common tools and reusable data assets to streamline decision-making Tackling the fear of change and ensuring teams embrace new data-centric workflows
• 3:30 pm Building cross-functional teams to drive value from Data and AI, responsibly(Data+AI Day - Plenary) To see return on investment from their Data and AI teams, companies need strong alignment with their customer and business strategy, as well as a way to navigate risk in an environment of increasing regulation around Responsible AI and Data Privacy. Strong collaboration across functions is essential – bringing together Product Managers, Data Scientists, Software and Data Engineers, Legal and Privacy experts, and the right sponsorship from business leaders. Discussion Points: Key roles and responsibilities – What expertise is needed to take AI and data products to market, and how can teams organise to drive collaboration? Sponsorship and strategic alignment – How to set the team up with success by solving the right problem, with the right support from the business? Data Governance, Data Privacy, and Responsible AI - How can organisations integrate legal, ethical, and security considerations into AI development without stifling innovation?
• 3:50 pm Lunch Break - Peer Connect & Luncheon Roundtables(Data+AI Day - Plenary)
• 4:50 pm Analysing Data at Unparalleled Speed with Agile Architectures(Serverless Scalability) Analyse data at unparalleled speed. Experience the agility of serverless architectures for enterprise analytics.
• 4:50 pm Augmenting Business Intelligence with Intelligent Insights(AI Analytics) Augment BI with intelligent insights. Learn how AI-driven analytics enhance efficiency and reduce decision-making risks.
• 4:50 pm Data Governance in Action Real-world approaches to ensuring trustworthy, accurate, and well-managed data.
• 4:50 pm Connecting Data for Unified and Future-Ready Organisations(Integrated Planning) Connect data for unified planning. Streamline planning and analytics processes for future-ready organisations.
• 4:50 pm Centralising Analytics to Achieve Strategic Business Goals(Enterprise Insights) Centralise analytics for strategic goals. Discover how integrated solutions drive collaboration and planning for businesses.
• 4:50 pm Generative AI in Data Operations Practical applications of generative AI to optimise workflows and uncover new opportunities.
• 4:50 pm Uncovering Trends with Deep Visual Analytics(Advanced Visualisation) Uncover trends with deeper visuals. Learn how advanced visualisation tools reveal actionable patterns in data.
• 5:15 pm Fact-Checking the Fantasy of Turning Data into Dollars(Data + AI Day) With years of experience leading data strategy and governance, David brings a practical perspective on how businesses can transform data from a cost centre into a core driver of growth. This session will explore proven strategies to align data initiatives with business objectives, overcome common pitfalls, and build sustainable value from data assets. Discussion Points: Insights into why businesses often struggle to monetise data effectively Practical steps to align data monetisation efforts with customer-led growth strategies Emerging trends in data as a revenue generator and what businesses need to do to stay ahead
• 5:35 pm Generative AI’s Transition from Cutting-Edge Toy to Critical Tool(Data + AI Day) 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 under-utilised in business? How to ensure generative AI aligns with your strategic goals. Navigating the risks of over-reliance on machine creativity.
• 5:55 pm Strategy or Guesswork? Why Your Data Plan Might Be Failing(Data + AI Day) 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.
• 6:15 pm Garbage In, AI Out: The Data Quality Crisis in AI-Driven Automation(Data + AI Day) Artificial Intelligence (AI) systems are only as effective as the data they process. In an era dominated by automation and real-time decision-making, the integrity of data is paramount. Poor data quality can compromise AI-driven automation, leading to inaccurate insights and eroding trust in AI outputs. This session examines the impact of data quality on AI initiatives and explores strategies to enhance data handling, ensuring AI models deliver reliable and actionable results. Discussion Points: The Impact of Poor Data Quality on AI Effectiveness. Ensuring Data Quality to Build Trust in AI Outputs. Strategies for Improving Data Quality at Scale. Maintaining Data Integrity in Real-Time Environments.
• 6:40 pm Beyond Generative AI and Chatbots: Understanding AI as a Transformative Enabler(Data + AI Day) Join us, as Pia will delve into the transformative potential of AI beyond the common applications of generative AI, chatbots, and other surface-level tools. The talk will focus on how organisations can leverage AI as a strategic enabler to drive meaningful impact and innovation. Pia will share insights on transitioning from operational efficiencies to strategic, outcome-driven approaches that empower organisations to adapt to change, sense opportunities, and address unintended impacts in real-time. Discussion Points: Shifting the narrative from operational efficiency to strategic impact. The Role of Data and AI in Sensing Organisations Examples of Transformative AI Use Cases.
• 7:00 pm End of Day & Closing Remarks(Data + AI Day)
• 7:05 pm End of Day & Networking Drinks(Data + AI Day)

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