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AI is having a huge impact, but is not the only thing with societal, technological, and organizational implications driving change in data and analytics. We examine trends in areas such as complexity, trust, and empowerment facing leaders and teams as they make decisions in all aspects of their bet-the-business D&A strategy.

Data and analytics leaders need to support the opportunities and challenges of today’s digital business with the right competencies. This is the time to evaluate data and analytics roles and skills that are fit for now and the future. This session will provide key considerations for D&A and AI roles and skills.

Metadata, data quality and data observability tools provide significant capabilities to ensure good data for your BI and AI initiatives. Metadata tools help discover, and inventory your data assets. Data quality tools help business users manage their data at sources by setting rules and policies. Data observability tools give organizations integrated visibility over the health of data, data pipeline and data landscape. Together the tools help organizations lay good foundation in data management for BI and AI initiatives.

To come up with new ideas and move beyond incremental improvement, we must start imagining at the third horizon and work our way back to the now. Join this session to know what Gartner's most provocative predictions are and what we can learn from them as D&A leaders.

AI is moving faster than ever. AI techniques should bring adaptability to an uncertain world in constant flux. However, despite its extraordinary power and early promises, AI has not been leveraged to its full potential. What is missing? Where did we go wrong? Join us as we discuss our ambition for the future of AI and AI should do for us to deliver the value that we are expecting.

Data and analytics leaders can use the concept of a “franchise” to communicate the optimal organizational model, data architecture and governance framework that large enterprises require to scale self-service analytics programs.

Organizations struggle to make sense of numerous programs and projects that overlap or operate in silos. This research will weave together data and analytics governance, MDM and data quality into one organized initiative that every CDAO should be interested in.

Responsible AI decisions are not black and white, they require trade-offs. Learn to make trade-offs and debate the alternatives to make AI governance and responsible AI decisions. Discuss controversial ideas in AI with your peers. Express your opinion and listen to what others are saying. Learn to ask the right questions and get the right answers to ensure responsible, trustworthy and ethical AI.

Data and analytics leaders and their data engineering teams are tasked with evaluating and selecting data integration tools. However, there are many options, which can be confusing. This session will explain the various types of data integration tools and technologies available in the market, and help you select the right data integration tool for your needs.

Generative AI continues to be a top priority for the C-suite and there has been an accelerated innovation in new AI models and products to enable it. In this session, IT leaders can learn about the key techniques and technologies powering one of the most transformative technology trends of this decade.

Join Andrew Hinds from Bupa Australia to explore how combining data lineage and AI-powered automation enables organizations to optimize operations and deliver trusted insights. Hear practical strategies for embedding observability and governance into every layer of your data ecosystem—empowering better decisions, innovation, and compliance in a rapidly changing world.

As organisations scale AI and move towards Data Products, success depends on trusted, high-quality data underpinned by strong governance. In this fireside chat, Chemist Warehouse shares how domain-aligned metadata, data quality, and governance, powered by Alation, enable a unified delivery framework using Critical Data Elements (CDEs) to reduce risk, drive self-service, and build a foundation for AI-ready analytics and future data product initiatives.

In a world flooded with data, dashboards alone aren't enough—organisations need real-time answers that drive action. Auror, a leading retail crime intelligence platform, leverages Elastic’s AI-powered search to unify and analyse data at scale—accelerating investigations, enabling cross-organisational collaboration, and significantly reducing retail shrink. In this session, discover how search-native architecture empowers decision intelligence, operational resilience, and frontline impact—delivering measurable ROI and strategic business value.

In today's competitive landscape, businesses seek innovative ways to leverage AI for strategic advantage. This session will explore how Agentic AI can transform data insights into actionable decision intelligence. Discover how NostraData uses AI to improve access to critical information across the pharmacy supply chain.

D&A and AI leaders including CDAOs continue to struggle to prove the value of D&A and AI. This session will provide a roadmap for gaining stakeholder buy-in on D&A initiatives, quantifying the value and building the business case, learning from the success of other organizations, and continuously measuring results and adjusting.

CDAOs implement self-service analytics (SSA) to enable data-driven decision making across their organizations. However, SSA initiatives often fail to deliver on their full potential due to governance, trust, scalability and adoption challenges. This presentation provides a framework for CDAOs to balance control and agility within SSA to drive meaningful business value from data.

This workshop will guide participants through the process of defining their governing environment, architectures, and delivery models that describe how strategy is executed. Types of models will be discussed for CDAOs to consider how they may want to shift their model in the future.

Organizations can face many challenges in operationalizing D&A and AI strategies. In this session, we discuss how to capitalize on value-based opportunities, engage with stakeholders and get to what matters.

Asking your colleagues how analytics can help them often results in blank stares, defensiveness, or wildly incoherent suggestions involving AI. This session will show you how to work with your colleagues to pinpoint how you can help, identify the most helpful capabilities to build, and explain how to measure your impact.