SAP’s data and analytics solutions serve as the foundation for this data fabric; delivering an integrated, semantically-rich data layer that ensures seamless and scalable access to data without duplication.

Join this session to learn how Endeavour Energy is leveraging SAP’s data and analytic capabilities to build a flexible, business-ready data foundation critical for delivering analytical insights. We’ll explore the journey they took to get here, and the future they are building, including a look into SAP Business Data Cloud and, with Databricks, can facilitate a unified data platform to thrive in the AI economy.

AI agents are emerging as an important trend since they enable levels of business adaptability, flexibility and agility that traditional AI systems can’t achieve. This flexibility is valuable in unpredictable environments where real-time monitoring and control aren’t practical. Autonomous behaviors, despite significant societal, legal and ethical implications, are the answer to the increasing complexity in our enterprise systems.

Learn about proven techniques to boost the use and productivity of your self-service analytics environment. What works and what doesn't? What should you prioritize if you're just getting started? How can you keep the environment "fresh" as you mature? What should you be thinking about in addition to analytics as you build and grow your approach? Join us to know the answers to such questions.

CDAOs are making investments daily. Perhaps you're looking to grow your team, or maybe making a technology investment to support GenAI, or another investment where you need to build buy-in and gain funding. This workshop will help you develop personal influence skills while also building a strong story for investment.

Discover how Data Mesh is transforming data management by decentralizing delivery and empowering business-driven D&A initiatives. You will find out what data mesh is, its benefits, and the most common challenges. We will provide a successful path based on the experience of early adopters, allowing you to avoid the most common pitfalls and adopt data mesh successfully.

A great data system must begin with a clear vision, is shaped through measurable milestones, and ultimately proves its worth through meaningful use.
Join us as we explore the journey of building the National Disability Data Asset—a groundbreaking initiative linking data about Australians with disability in a way never done before. This world-first effort, brings together, Commonwealth, State and Territory data across most subject domains to improve the lives of Australians with disability. It’s a story of bold ambition, shaped by the voices of users, data governance, and challenged by the complexity of data sharing in 21st century Australia under 20th century legislation.

Most metadata in 2024 will remain passive in approaches with stats, reports, schema and business-developed glossary terms. Most organizations must grow their maturity in metadata management. We start with traditional metadata techniques — passive. With AI undergoing confidence issues and the demand to reduce risk, grow AI confidence, and provide data assurance, active metadata becomes key.

With growing focus on AI in organisations, deliveringAI-ready data has become the number one investment priority of data management leaders. This session will define AI-ready data, how it differs from traditional data management and discuss AI-ready data practices and technologies.

D&A value is not possible without data storytelling that offers a better way to engage communication findings than just BI reporting or data science notebooks. Join this session to know about the fundamentals of data storytelling and how to fill the gap between data science speakers and decision makers. It further discusses how to tell the best data storytelling and how to upscale data storytelling for future in landscape of GenAI.

Legacy data tools weren’t built for the AI era. Agentic Data Management replaces static rules and siloed platforms with intelligent agents that monitor, reason, and act—automating quality, governance, and lineage at scale. Discover how data leaders are shifting from manual firefighting to autonomous control, powering faster, trusted, and scalable data for AI and analytics.
See a live demo of an agentic system in action


Learn how probabilistic and deterministic approaches work in concert


Explore how to build intelligent data products using the MCP protocol

To accelerate growth, the National Rugby League (NRL) aimed to enhance its fan and participant experience. Using Fivetran as the cornerstone of its modern data stack, NRL centralised data with high-performance pipelines, enabling fast, accurate reporting and real-time insights. They successfully built a Single Customer View (SCV), providing a unified understanding of fans and participants. Learn how NRL transforms its data into a strategic asset to enable smarter decisions and long-term impact.

Discover how Australia’s national public broadcaster accelerated its data governance journey through a people and process-led approach. This session highlights how effective change management, cultural alignment, and data literacy helped embed accountability, foster trust, and drive maturity across all aspects of data governance in a complex federated organisation. Explore the transformative impact of a people-led approach to data governance and gain insights into effective strategies for fostering accountability and trust.

Data observability helps to detect and diagnose unknown unknowns in data quality and pipeline performance—but it doesn't fix them. Learn how Bigeye is leveraging AI to enable data teams to resolve data quality and pipeline issues, and even prevent them occurring in the first place.

Hear the latest best practices for harnessing Appian’s low-code, process automation platform including key technologies such as data fabric and Process HQ. Discover the power of real time, business generated data insights, dashboards and process insights that can transform the way business owners make agile, data-based decisions.

Struggling to balance AI-driven innovation with security and compliance? Organisations are racing to leverage AI, advanced analytics, and the cloud for a competitive edge—but growing regulations and data protection requirements create significant challenges.
This session will provide practical strategies to maximise AI potential while safeguarding sensitive data, ensuring compliance, and mitigating risk.
Learn how to harness innovation without compromise and position your organisation for success in a rapidly evolving digital landscape.

Relying on a single model for AI solutions due to the hype of powerful GenAI models in the market is a common pitfall in AI adoption for enterprises. D&A leaders and the teams should avoid this pitfall by using systems thinking and clarifying the limitations with stakeholders. This session will introduce practices that go beyond a single model for more powerful, reliable and efficient AI solutions.

Artificial Intelligence (AI) provides enormous potential for Defence. AI will support military functions and capabilities, enhance the analysis of intelligence data, and improve the decision-making and functions of the Defence enterprise.
The Defence AI Centre has been established to accelerate the responsible adoption of AI across Defence. Dr Paul Robards, Chief Data Integration Officer in Defence, will talk about the establishment of the Defence AI Centre, the operating model that Defence has adopted, and the challenges and opportunities.

Welcome to an exciting theater session where we explore the Magic Quadrant for data and analytics governance platforms. In this session, we will delve into the world of data and analytics governance, understand the importance of these platforms, and discover the leading players in the market.

Implementing AI governance can be challenging, navigating this in the public sector is particularly so with risk focus often overshadowing value and benefits. This roundtable will explore practices in overcoming challenges to achieve success in AI Governance with specific focus on public sector aspects including data, regulations and workforce.

GenAI may excelling in some areas but fail in others, complicating the business case. CIOs often underestimate costs, which can scale by 500%-1000%. Productivity is a key benefit but hard to prove to CFOs. Should you invest in chat-style GenAI for 100K employees or near-custom AI for 50 R&D staff? Join our session to master cost scaling, value harvesting beyond productivity, and creating a portfolio of GenAI investment options.

Heads of analytics & AI face many challenges such as keeping afloat, staying the course or racing ahead in the race for AI superiority. This session will focus on the top fears, risks, objections and hurdles leaders of Analytics & AI face and most importantly, how to handle them.

Have you ever struggled to secure buy-in to a no-brainer MDM strategy? MDM programs exist to support business outcomes, yet business cases often focus on the how not the why, leaving stakeholders disengaged. In this session we explore what constitutes a strong MDM value proposition that will engage stakeholders from business case, through execution and stewardship.

In just two years, our conversations about AI will be radically different. We'll stop talking about the labels—GenAI, Agents, AI—and start focusing on what truly matters: measurable business transformation. Today's exciting GenAI technology will fade into the background, becoming a very important, but seamless, integrated part of the modern tech stack that powers our companies.

In this session we will explore how the convergence of AI technologies will fuel a new era of hyper-personalization and intelligent automation, delivering tangible value across every industry and department.

Join University of Auckland (UoA) and IBM to examine how you can move from experimentation to execution and ensure your GenAI programs deliver meaningful, measurable impact. We’ll guide you through a case study of UoA’s GenAI assistant, from PoC to full-scale production. It explores the foundations needed for GenAI success, applicable across any industry: an enterprise-ready technology platform, a mature AI operations lifecycle, and strong regulatory guardrails. Learn how these solutions safeguard a GenAI assistant serving over 50,000 users to deliver a more efficient business, at scale.

In this session, learn how Qlik and Village Roadshow are leveraging data authenticity and applied AI value to shape the future of Agentic AI. Discover real-world examples and a roadmap for implementing multi-agent architectures.