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.

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.

Join us to explore how leading companies like Xero are harnessing the power of Generative AI to deliver hyper-personalized, intelligent experiences that drive real results. From cutting case volumes by 20% to improving search precision and accelerating self-service, you’ll see how these innovators are using relevance-augmented GenAI to meet people in the moment—with the right answer.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.