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.

To gain trust in Generative AI applications, a robust observability framework is needed. In this session, we will demonstrate how users can instrument an AI application with Trulens, an open source observability framework, to trace each component of their application and use LLM-as-a-Judge evaluations to identify and improve points of failure. Attendees will learn about best practices in enabling observability in their AI workflows and common feedback functions used for evaluation. We will also explore using the observability framework as a mechanism to compare application versions to determine which version is best fit for production use.

Generative AI is taking the world by storm. What happens when it meets its structured, fact-driven soulmate, the relational knowledge graph? We explore how combining GenAI with knowledge graphs creates a dynamic duo: AI that's not just creative, but also accurate, explainable, and deeply informed. We'll dive into real-world use cases, from chatbots to BI. Expect insights, practical applications, and a few AI-generated jokes (with fact-checking by our knowledge graph, of course!)

Join Snowflake’s Head of AI Products for a tour of Snowflake’s enterprise-AI vision, recent innovations and roadmap. You’ll see how Snowflake Intelligence, automatic Semantic Model generation and specialized AI tools work together inside Snowflake’s secure platform, turning multimodal data into transformational impact for enterprise customers without infrastructure headaches. Walk away knowing how these integrated capabilities give business users, data analysts and engineers the tools, speed and governance required to deploy AI into production.

Unlock the full potential of generative AI in Snowflake with hands-on prompt engineering! In this live demo, we'll build and refine prompts from scratch, showcasing how to harness LLM-powered features like Cortex Analyst, Document AI and Cortex functions. Attendees will see real-time development, practical use cases and best practices to get the most out of Snowflake’s AI capabilities — whether for extracting insights, automating workflows or enhancing data pipelines with AI-driven intelligence.

Self-service analytics is now as intuitive as a conversation with your data. With Snowflake Cortex AI, users across industries can extract insights effortlessly using generative AI — no advanced expertise required. Learn how Northeast Georgia Health System boosts efficiency with AI-driven insights, and see how Cortex AI powers real-world applications, automates workflows and enhances decision-making. Join us to explore the future of automated analytics.

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.