Generative AI is revolutionizing businesses, but the secret behind its success is your data – sensitive, unstructured, and exposed. Companies are racing to deploy AI yet often overlook the risks of data compromise, exfiltration and compliance. As organizations adopt new data tools, they must rethink their approach to data security or risk disastrous consequences.
If you’re struggling with balancing innovation and security, this session will give you the blueprint to securely scale data & AI applications.

With rates of fraud, scams and identity theft continuing to rise in Australia, there has never been a greater focus on keeping customers’ information safe. Commonwealth Bank is at the forefront of fraud prevention in Australia, implementing a suite of data and AI-driven innovations in partnership with SAS. This is all part of efforts to detect, respond and ultimately prevent the efforts of scammers across the world. During this session, you will hear how one of Australia's largest organisations is working tirelessly to protect its customers.

How does a lean data science team at Lottery Corporation manage to avoid the common pitfall of AI/ML being stuck in the lab, have 90% of their models in production and drive substantial business outcomes? Join Dr. Chris Hillman and Stewart Campbell to learn how the current programmes of models are built for success, driving risk reduction, anomaly detection and better customer retention at scale. Then, hear about their plans to use LLM, RAG and agentic AI to drive hyper personalisation, business productivity and better investment decisions.

We will discuss the latest burning issues that heads of data governance must address, and also provide recommendations to manage and exploit emerging opportunities. With an understanding of the influencing drivers and trends, leaders will be equipped to optimize their data governance strategy.

In this session, we will explore cost transformative vendors such as DeepSeek and MistralAI’s impact on AI development, highlighting the potential to enhance enterprise innovation at a price/performance that is unprecedented. Data, analytics & AI leaders can bring their questions on how they can capitalize on new training and inferencing paradigms in AI, the future of AI model development and the impact of reasoning models on a more autonomous future in AI.

Moving AI projects from pilot to production requires substantial effort for most enterprises. AI Engineering provides the foundation for enterprise delivery of AI and generative AI solutions at scale unifying DataOps, MLOps and DevOps practices. This session will highlight AI engineering best practices across these dimensions covering people, processes and technology.

Analytics is experiencing another monumental change. Just as visual drag and drop BI tools and augmented insights led to changes in analytics delivery, we now experience conversational interfaces, automated workflows and AI agents that cause us to rethink how analytics will be done. Join this session to learn the new technologies that are making an impact and how this will affect plans for future investment in analytics tools, platforms and solutions.

The future of computing will be a virtuous cycle, where use cases drive compute mechanisms and vice versa, supporting human endeavors in a digital world. Data is central, but computing's future isn't a single paradigm. Its impact will deeply affect business and society, from augmenting human capability to autonomy. What will the three horizons look like? Join this session to learn more.

This presentation of Gartner's top D&A predictions for 2024 guides data and analytics leaders as they plan for the impact of AI on all aspects of data and analytics, including leadership, governance, talent, market, and the need for AI-ready data and a FinAI competency for value realization.

Execution is the stage where the true value of your strategy is realized. In this session, you'll explore the key components of strategy execution, the reasons behind them and the frameworks for improvement. We'll delve into five key areas essential for achieving excellence in execution like strategy formulation, planning, operational capacity, communication and performance.

D&A leaders and teams are at an AI-driven inflection point. They are crucial to enable business value through AI-readiness but must evolve their strategy and operating model to meet their organization’s AI ambitions. Reporting from the Gartner 2025 CDAO Agenda Survey, this session reveals actions successful D&A leaders have taken to deliver business outcomes from AI, data, and analytics, and what they need to do next year.

There are many ways to show the value of the D&A program. This roundtable session is meant for participants to bring creative examples of how they were able to show the value of their program so D&A leaders can learn from each other's experiences.

As privacy regulations tighten, organisations must go beyond check-the-box compliance to stay ahead. Join BigID and David Mesman for a practical discussion on how to build a future-proof, privacy-aware data strategy. Learn how to:

• Unify discovery, classification and governance across structured, unstructured and AI-generated data
• Automate privacy workflows and enforce policies in real time
• Strengthen customer trust through responsible data use
• Ensure compliance with current and future Australian privacy laws
• Align privacy, security and AI risk under one integrated framework

Enterprise-grade GenAI needs a unified data strategy for accurate, reliable results. Learn how knowledge graphs make structured and unstructured data AI-ready while enabling governance and transparency. See how GraphRAG (retrieval-augmented generation with knowledge graphs) drives real success: Learn how companies like Klarna have deployed GenAI to build chatbots grounded in knowledge graphs, improving productivity and trust, while a major gaming company achieved 10x faster insights. We’ll share real examples and practical steps for successful GenAI deployment.

With high D&A ambitions and AI pilots becoming increasingly ubiquitous, focus is shifting toward consistent execution. We will share how to continue innovating and experimenting while scaling success. In this keynote, Gartner’s perspective will guide you on preparing for the expected and adapting to the unexpected. Learn to enhance your D&A and AI capabilities on the path to success.