GenAI systems are evolving beyond basic information retrieval and question answering, becoming sophisticated agents capable of managing multi-turn dialogues and executing complex, multi-step tasks autonomously. However, reliably evaluating and systematically improving their performance remains challenging. In this session, we'll explore methods for assessing the behavior of LLM-driven agentic systems, highlighting techniques and showcasing actionable insights to identify performance bottlenecks and to creating better-aligned, more reliable agentic AI systems.

As we enter a new era of productivity, automation isn’t about armies of robots—it’s about enabling better decisions through algorithms. For knowledge workers, the true transformation is human-centric.
While generative AI and robotics capture headlines, the real foundation of successful automation is high-quality, well-governed data. Without it, your AI initiatives will stall, and your brand could suffer.
Join Soda and LexisNexis Risk Solutions to explore how empowering your people with data governance, observability, and literacy is the key to unlocking the full potential of agents and GenAI.

Join us for a session focused on unlocking the real potential of AI through product thinking. Dive into why AI projects aren’t taking off. Discover the most important metric for GenAI applications. We'll walk through Shape, Nail, Scale, Run – a practical framework for turning AI ideas into successful, scalable solutions. Be inspired by a real-world case study of what we did for the UK’s oldest private bank with product-led thinking. This session is perfect for product leaders, designers, and anyone looking to bring AI to life in meaningful ways.

Among organizations that have adopted generative AI, only 33% report implementing it into functional processes. To seize productivity gains from AI, enterprises need to get the most from their data, ensure governance, and make it easier to use. For many, that means better integration with the workforce tools already in use. Learn how companies are developing AI agents that act with greater autonomy and how they are scaling them across diverse environments to deliver impact. Discover how to manage your AI assistants and agents in a unified, adaptable experience that safeguards investments.

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.

Engineering knowledge is often trapped in silos, limiting innovation. Fast adoption of GenAI with an integrated approach unlocks and scales knowledge, creating a competitive edge.

This session explores how AI accelerates decision-making, streamlines knowledge management, and drives business impact.
Discover real-world use cases and strategies to stay ahead with scalable, AI-driven solutions that seamlessly integrate into enterprise workflows, ensuring faster adoption and maximum value.

Come together for a discussion with peers to discuss your GenAI early wins and challenges. 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 will be looking forward to meeting with you.

Join us for this roundtable, tailored for Black and Brown technology leaders and open to all attendees, to explore the impact of GenAI on the workforce and underrepresented talent. As AI continues to shape the future of work, the high quality of diverse thought and talent holds both the promise of inclusivity and the hope of overcoming perpetuating biases. Together we’ll discuss how AI can be a double-edged sword — potentially amplifying existing inequalities and amplifying how diverse talent is highly qualified talent overall

More than 50% of generative AI projects fail. This session will help data & analytics leaders learn the common causes of failures and understand best practices to mitigate those failures and scale AI across the enterprise.

Rapid changes demand innovative decision-making tools beyond traditional methods. Businesses are turning to AI, BI, and data science to gain a competitive edge. The perfect blend of these technologies can be a true differentiator.

- Take a quick look at what to expect from this session
- Challenges in data and analytics today
- Unlocking the power of AI, BI, and data science
- The transformative role of AI-powered self-service BI platforms
- Live demos of next-generation analytics in action

Learn how these innovations can drive better decisions to deliver transformative business outcomes.

AI architects are challenged to define a technology roadmap in an environment that is currently defined by a rapid pace of AI technology, specifically with generative AI initiatives, evolving product capabilities, needs for up-skilling, all of this with the goal of improving business outcomes. This session will provide the framework, architectures and tools to define such a roadmap.

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.

CDAOs and AI leaders often struggle to get started with GenAI. Attend this session to understand the first critical components you need to build or buy: Data, AI Engineering tools, a search and retrieval system, the application, and the right types of models. With these building blocks, you can build several working GenAI prototypes to help you prove the value and justify further investments.

Organisations adopting a Data Mesh framework often face challenges in ensuring regulatory compliance, transforming data assets into scalable products, and maintaining governance. Explore how NatWest addresses these complexities by integrating knowledge graphs with GenAI and LLMs to enhance data discovery, enforce governance policies, and accelerate product development. Learn how this approach strengthens regulatory data qualifications, automates metadata management, and delivers faster, more reliable insights— to build and scale AI-driven data products yielding a potential 10x efficiency gain.

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.

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.

To scale generative AI and drive real value, enterprises need to get the most from their data. Business leaders must shift their focus to creating efficient, secure and scalable data foundations to train their AI. Given that 80% of enterprise data is unstructured, driving performant and accurate AI requires a strategy to unify structured and unstructured data as well as solutions to enable data access verification, integration and governance across disparate environments. Hear how leading organizations are successfully leveraging their data to fuel growth and trust across their business.

Alessandro Allini, Head of Data Governance at Crédit Agricole Italia, and Stephen Brobst, CTO at Ab Initio, discuss the revolutionary impact of shifting from treating “Data as an Asset” to “Data as a Product”. You will gain insights on designing, manufacturing, and measuring data success with this approach. Alessandro will discuss the corporate journey toward Data Products that is empowering business knowledge workers with self-service capabilities and optimized data design for seamless consumption. Stephen will reveal how AI co-pilots accelerate data product creation and drive innovation.

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: a major gaming company achieved 10x faster insights, while Data2 cut workloads by 50%. Discover how knowledge graphs and GraphRAG create a foundation for trustworthy agentic AI systems across retail, healthcare, finance, and more.