Discover how leading enterprises are transforming financial planning with AI-driven automation, predictive insights, and dynamic decision-making. In this session, we’ll share best practices and real-world use cases of clients leveraging
IBM Planning Analytics to streamline forecasting, enhance agility, and gain a competitive edge. We’ll explore the latest advancements in Agentic AI; intelligent assistants that proactively analyse data, detect outliers, and recommend next steps, empowering finance teams to operate with greater speed and precision.

Deploying AI agents into business operations offers significant potential – but also demands careful execution to deliver tangible results. In this session, discover practical strategies for embedding agentic AI into frontline workflows while maintaining responsible AI governance.

We’ll explore how agentic AI can drive real performance gains – such as in call centre operations, where organisations have achieved a 20% increase in complaint resolution volume, a 30–40% reduction in average response times, and a 15% drop in handling costs. Learn how to turn AI ambition into operational success.

Urgent Investments in data, analytics and AI use cases has put the spotlight once more on strong data management foundations. Is our Data even Ready for upcoming AI, analytics and data sharing initiatives is now top of mindshare for heads of data, CDAOs and their counterparts. Data Fabrics have emerged as a long term, foundational data management architecture that you should now pursue for sustained D&A success. This session will:
1. Help understand what data Fabrics are and what they mean for your data strategy and architecture
2. Help decide how to build and where to buy
3. Navigate the vendor landscape to assist in tech procurement decisions to aid your fabric journey

To position their teams as a must-have discipline that can fulfill cross-functional use cases, D&A leaders must optimize their organizational model. The optimal organizational model is one that balances enterprisewide capabilities focused on enablement with decentralized needs focused on outcomes. In this session you will learn the design principles behind the right D&A organizational model and how to balance a centralized team (focused on enablement) and decentralized needs (focused on outcomes).

In today's data-centric environment, developing a strong data strategy is crucial for aligning with business goals and driving success. Engage with peers to delve into the complexities of creating effective data strategies that support business objectives. Join to share insights, learn from each other, and uncover practical strategies to enhance your data management practices. Peer Meetups are networking sessions that allow you to connect and share with a small group of your peers without Gartner facilitation. Please make every effort to attend your peer meetup, as other attendees look forward to meeting with us you.

Join your peers to explore effective strategies and address challenges in preparing your data for AI applications. Exchange insights and valuable lessons with other Data & Analytics leaders. Discuss the essential elements of AI readiness and their significance for your data strategy. Discover methods to evaluate your existing data infrastructure and pinpoint areas for enhancement. Peer Meetups are networking sessions that allow you to connect and share with a small group of your peers without Gartner facilitation. Please make every effort to attend your peer meetup, as other attendees look forward to meeting with you.

With rapid technological advancements, AI and advanced analytics are reshaping business landscapes. Explore the latest trends and strategies for integrating these tools into your business. Learn from peers and strategically position your organization in the AI era. Peer Meetups are networking sessions that allow you to connect and share with a small group of your peers without Gartner facilitation. Please make every effort to attend your peer meetup, as other attendees look forward to meeting with you.

Join this meetup to share experiences and challenges in data visualization and storytelling. Connect with peers to explore techniques for turning complex data into compelling narratives for diverse audiences. Discuss best practices for creating visualizations that enhance understanding and drive action. Exchange insights on tools and methodologies for dynamic data stories. Peer Meetups are networking sessions for connecting and sharing with a small group without Gartner facilitation. Your attendance is valued by fellow attendees.

Discuss with your peers the approaches, tips and pitfalls in communicating D&A strategy, approaches and value with executive leadership within the government. Understand how to communicate that the fast-changing world of D&A can be difficult, especially within areas of long-range planning and budgeting. Learn from your peers and build relationships in this session.

The enormous potential business value of AI is not going to materialize spontaneously. AI leaders should guide their organization toward an era in which AI is not only creating tangible business value but goes beyond to become a critical competitive differentiator and industry disruptor.

D&A is full of politics. What people say they want is often not what they really want with D&A. Resistance to becoming more data-driven is often left unspoken. This session will help you to recognize the most common political issues and the best practices to overcome them.

Data architects are increasingly tasked with provisioning quality unstructured data to support AI models. However, little has been done to manage unstructured data beyond data security and privacy requirements. This session will look at what it takes to improve the quality of unstructured data and the emerging best practices in this space.

Three out of four companies are betting big on AI – but most are digging on shifting ground. In this $100 billion gold rush, none of these investments will pay off without data quality and strong governance – and that remains a challenge for many organizations. Not every enterprise has a solid data governance practice and maturity models vary widely. As a result, investments in innovation initiatives are at risk of failure. What are the most important data management issues to prioritize? See how your organization measures up and get ahead of the curve with Actian.

Meridian Energy, New Zealand’s leader in 100% renewable generation, adopted Denodo as a unified semantic data layer to accelerate the delivery of diverse use cases across its lakehouse environment. From security risk modelling to incident management, ESG compliance and more, Denodo enables governed, real-time access to data without replication – reducing ETL overhead, empowering self-service, and ensuring consistent metrics. Business teams are continuing to explore and advance data-driven solutions, supporting Meridian’s shift to a governed lakehouse architecture.

Join Transurban as they share their journey, highlighting how enhanced data visibility and effective remediation have transformed their data culture and driven improved business value in infrastructure and road operations. Gain insights into Transurban’s plans for leveraging AI governance in the future to unlock further benefits and optimize industry practices.

Join us for an exclusive roundtable discussion featuring industry leaders and experts as we delve into the transformative power of the SAP and Databricks partnership. This session is designed to provide actionable insights and foster a collaborative dialogue on the ways this collaboration is reshaping the landscape of data management, AI, and business strategy.

This will be a dynamic, interactive roundtable where participants can share their viewpoints, explore real-world use cases, and address challenges and opportunities. The session is designed to encourage open discussion and provide valuable insights for navigating the evolving data and AI landscape.

Since 2022, Gold Coast Health have been on a digital transformation journey. Their objective, to “liberate” clinicians and health staff from burdensome digital and administrative processes by combining data analytics, automation and workflow solutions. Hear about their journey from an on premise enterprise data warehouse to their Advanced Data Platform and their recent success using this platform to automate communications between tertiary and primary care.

Enter the agentic era of data and analytics with Tableau and Agentforce. Discover how AI agents are accelerating data modeling and unlocking conversational analytics. Hear how leading organizations are harnessing agents to reimagine decision-making, supercharge insight delivery, and unleash the full potential of their data-driven workforce.

This session will look at the quickly emerging domain of agentic AI. What are AI agents? What are the solutions and applications that will most benefit from an agent-based approach? What are the pitfalls to watch for when considering this fast-growing software engineering discipline? Join this session to know the answers to such questions and more.

Data lakehouses continue to be hyped but do they replace or complement data lakes and data warehouses? Where do we stand from an architectural perspective? What is hype and what is real? What should be expected in the coming years?

Chief data and analytics officers play a critical role in driving and overseeing major business changes to deliver enterprise value. Clear and actionable change-management plans are essential for both proactive and reactive data-driven change.

Data and AI is playing a pivotal role in the energy transition, enhancing customer centricity and unlocking operational efficiency. Come and hear how AGL Energy is empowering it's people with the knowledge and skills to thrive in a data & AI driven future.

By following the steps discussed in this session, organizations can effectively assess their D&A governance platform requirements, ensuring they select a solution that address critical use cases, and overall business performance.

Top tech companies have utilized graphs to power everything, from fraud detection systems to recommendation engines, and they are now finding their way into use cases across industries. This session will introduce the concept of graph analytics and the algorithms used to find hidden insights in data that enhance decision making, with context as king. Additionally, we will explore how Knowledge Graphs can significantly augment LLMs, particularly in the context of Retrieval Augmented Generation (RAG) systems.

Gain valuable insights and practical advice on successfully piloting GenAI initiatives in public sector organizations. This interactive session allows you to ask a leading expert your most pressing questions and learn what your peers are doing.