Discover why one-size-fits-all cloud approaches to AI often lead to cost inefficiencies, performance issues, and security risks. This session reveals how Private AI-building AI applications with enterprise data on infrastructure you control-delivers powerful insights without compliance concerns. Learn how Amdocs' true hybrid architectures optimize costs by deploying AI workloads where they make most sense financially and operationally in the monetization domain. Hear about Amdocs’ real-world implementation story and its vision for Private AI.

Join Kevin Falkenstein, Service Manager of Data Governance Platform, and Axel Frank, Senior Solution Architect, from Siemens as they share Siemens' transformative journey in scaling Data & AI governance. Discover how Siemens is paving the way for the future by managing Data & AI models across departments, ensuring compliance, and building a foundation for long-term success by unifying Data and AI strategies with Collibra.

The days of running a business on Excel and static reports are long gone. Organizations need to be more agile than ever before, and AI can help transform not only what you do but take you to the next level and drive adoption and value. Join Pyramid Analytics and their premier customer East of England Co-op, and learn how they reinvented their data and analytics strategy. They'll share the tangible steps they took to conquer their challenges, the benefits they are seeing today, and their exciting path forward with AI and analytics!

It’s clear that Agentic AI could be transformational for how organizations make better decisions. Organizations across every field are looking to put Agentic AI to work. What are the important steps you can take to ensure you’re building the data foundation to take advantage of Agentic AI when it flips from hype to reality? Doing the right things now can ensure you’re ready and won’t get left behind. Join Ted orme as he shares 3 critical steps to take today as you chart your course and 2 pitfalls to avoid.

Companies must modernize to stay competitive, but siloed, unreliable data makes digital transformation nearly impossible. Traditional solutions fail to address data fragmentation, lacking the ability to power business applications in real-time or deliver reliable data when and where it’s needed.

Join this roundtable to explore how to implement a comprehensive data unification framework to improve trust, reusability, and governance, ensure continuous data reliability for AI systems, and mitigate security risks in AI-driven processing and decision-making.

Join us for a discussion on how to optimize your on-prem AI technology stack to maximize the ROI of small domain-specific models. We'll explore HP AI solutions and best practices for infrastructure tuning, model development, and cost-performance optimization. Share challenges and insights with peers and learn strategies to innovate freely while balancing flexibility, efficiency and maintaining full sovereignty of your data and IP.

Data teams face pressure to deliver real-time business insights across finance, supply chain, HR, and beyond. They need apps that are fueled with AI recommendations and insights available in business terms. The key lies in adopting a business data fabric architecture that interoperates across multi-cloud landscapes. SAP’s data and analytics solutions serve as the foundation for this data fabric, delivering an integrated, semantically-rich data layer that ensures seamless and scalable access to data without duplication. Join us to learn how to build this crucial foundation for your AI applications.

The UK Ministry of Defence (MOD) oversees the lifecycle management of over 120,000 assets.

Previous reliance on Excel-based models and manual processing limited team collaboration and the development of predictive capabilities. Utilising SAS Viya, Defence Infrastructure Organisation (DIO) transitioned to AI-driven simulation models, enabling predictive and prescriptive analytics to optimise asset management. Now recognised as an advanced asset management model in government, hear how DIO have demonstrated data-driven decision-making, and advanced analytical capabilities across government.

AI-ready data is a key pillar for enabling AI-related ambitions. But how should you do this, and what are others doing? This session explores what we mean by AI-ready, what clients and vendors are doing, and what Gartner recommends you do.

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

Dive into the symbiotic relationship between data and Artificial Intelligence in this comprehensive session. Explore how robust data foundations are critical for developing effective AI systems and how AI, in turn, refines and enhances data quality. Gain actionable insights into transforming raw data into intelligent solutions and leveraging AI to drive business innovation.

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.

Analytics and Business Intelligence (ABI) Platforms are being transformed by AI. Data insights are more likely to be discovered by machine learning. Natural language generation will turn dashboards into data stories. Natural language query will make data more accessible. This session will show how ABI Platform vendors are incorporating AI and how analytic leaders can manage the additional cost and risk these trends will bring.

Communicating the reality of what can be achieved with AI against what people think can be achieved can be challenging, and risky, especially when it's your boss. Join this session to learn effective communication techniques and methods for navigating internal politics to help reset expectations and chart a realistic course for using AI in your organization.

Heads of analytics & AI face many challenges such as keeping afloat, staying the course or racing ahead in the race for AI superiority. This session will focus on the top fears, risks, objections and hurdles leaders of Analytics & AI face and most importantly, how to handle them.

D&A leaders and teams are at an AI-driven inflection point. They are crucial to enable business value through AI-readiness but must evolve their strategy and operating model to meet their organization’s AI ambitions. Reporting from the Gartner 2025 CDAO Agenda Survey, this session reveals actions successful D&A leaders have taken to deliver business outcomes from AI, data, and analytics, and what they need to do next year.

As we enter an increasingly AI-driven world, it is becoming increasingly clear that leveraging the power of LLMs presents considerable challenges. Hallucinations, trust issues, and governance risks cause considerable concerns. This session will demonstrate how comprehensive and relevant metadata forms the foundation of data understanding and governance. You'll see how Ab Initio’s platform enables the automation of trusted, well-documented, and end-to-end governed data products, ensuring AI models operate with greater reliability and confidence.

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.

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.

With high D&A ambitions and AI pilots becoming increasingly ubiquitous, focus is shifting toward consistent execution. We will share how to continue innovating and experimenting while scaling success. In this keynote, Gartner’s perspective will guide you on preparing for the expected and adapting to the unexpected. Learn to enhance your D&A and AI capabilities on the path to success.