When an organization’s thoughts turn to AI, the CDAO’s name should be one of the first they think of. The CDAO must have a leading voice in their organization’s AI conversation. This session discusses techniques for the CDAO to take this position including real-world examples of success.

In our recent study, an overwhelming majority—80% of respondents—reported using AI in their day-to-day workflows. This marks a significant increase from just a year ago, when only 30% were doing so.
But what about data quality? Can you trust your data?
In this session, we’ll discuss how dbt can help organizations increase trust in their data, improve performance and governance, and control costs more effectively.
dbt is widely regarded as the industry standard for AI on structured data. Its Fusion engine, with deep SQL comprehension, powers the next generation of dbt use cases.

Oh, AI, It’s everywhere! In some cases can lead you to asking more questions than you ask it. Join us as we provide actionable and pragmatic insights helping your organisation navigate the journey AI adoption. Focusing on navigating hype, calibrating your Activities aligned to Organisational Maturity & Value, building & adopting a Scalable AI Ecosystem, integrating AI into your value Chain through Agent’s, Tools & Microservices. We aim provide food for thought of a balanced perspective on engraining AI into your organisation. Tracking towards enabling long term sustainable value.

Stephen Brobst, CTO at Ab Initio and top-rated speaker from last year returns. The fourth industrial revolution is fueled by AI and data. This talk will describe how to create and consume data products that use Generative AI, including the anatomy of data as a product in support of corporate AI initiatives. Empowering knowledge worker access to data is an essential capability of a modern enterprise. Robust metadata and a framework for Minimum Viable Governance (MVG) is at the heart of trusted AI. The use of natural language interfaces for interrogating data products will also be discussed.

Embark on a transformative AI journey with our session focused on deploying AI agents that deliver immediate ROI while ensuring robust data security. We’ll delve into advanced AI orchestration techniques that not only enhance system efficiency but also improve employee productivity. By incorporating TRiSM principles, you’ll learn how to develop AI applications that are both trustworthy and risk-managed. Whether you are just beginning your AI journey or seeking to expand your existing framework, this session offers practical insights to transform AI potential into meaningful business outcomes.

Hear how Mercy Corps leveraged Cloudera’s AI to transform data into actionable insights, enabling agile responses in crisis situations. The session will provide some principles on how to setup a scalable AI capability in your organisation and explore the Mercy Corps connection between data systems and organisational goals, which has allowed them to convert complex data into immediate, actionable insights. This approach can offer valuable guidance for other industries looking to expand their decision-making capabilities through AI.

Gain expert insights on building GenAI applications with GraphRAG and Knowledge Graphs. Dan McGrath, VP of Product at Neo4j, will share the power of these technologies, illustrated by the real-world success of Jin Foo, Head of Data & Analytics at Prospa. Hear directly from Prospa on how they use Knowledge Graphs to surface complex entity relationships across structured and unstructured data to achieve faster yet safer loan approvals and significant efficiency gains, including an 80% reduction in manual verification work, while establishing a foundation for future Agentic AI capabilities.

In an increasingly complex landscape, strategic advantage hinges on intelligent decision making. This briefing examines how Google Cloud's advanced AI capabilities offer Australian State and Federal Government leaders unprecedented opportunities to extract actionable insights from vast datasets, predict emerging trends, and proactively address societal challenges. Learn how AI can enhance policy development, streamline operations, and bolster national resilience, ensuring Australia remains at the forefront of innovation and effective governance.

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.

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.

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

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.

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.

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.