Have you ever struggled to secure buy-in to a no-brainer MDM strategy? MDM programs exist to support business outcomes, yet business cases often focus on the how not the why, leaving stakeholders disengaged. In this session we explore what constitutes a strong MDM value proposition that will engage stakeholders from business case, through execution and stewardship.

In this session, we will explore DeepSeek’s transformative impact on AI development, highlighting its potential to enhance enterprise innovation at a price/performance that is unprecedented. Data, analytics & AI leaders can bring their questions on how they can capitalize on new training and inferencing paradigms in AI, the future of AI model development and the impact of reasoning models on a more autonomous future in AI.

The most difficult part of establishing a data governance program is making it stick. This session will discuss challenges with identifying, motivating, and supporting data governance, ownership, and stewardship roles and tactics to build momentum for the program.

Modernize your analytics capabilities by identifying the products that best meet your needs. See side-by-side, scripted demonstrations of three leading vendors: Strategy, Oracle and Tableau. What are the key features to consider and how do they compare in action? What are the main strengths and weaknesses of these vendors? What innovations are coming?

With new pressures coming from AI, CDAOs must be agile in implementing and enabling business innovation. But, with quick adaptation, inevitably comes stress on traditional D&A delivery processes and practices. Join this interactive session to lean how to: clarify strategies to support business innovation, design adaptable and scalable delivery models and collaborate with business units to ensure value of D&A capabilities and services.

D&A leaders face challenges in identifying and engaging with data stewards to advance D&A governance efforts. This session will provide actions that leaders can take back to their organizations and begin to implement.

Data and analytics leaders need to support the opportunities and challenges of today’s digital business with the right competencies. This is the time to evaluate data and analytics roles and skills that are fit for now and the future. This session will provide key considerations for D&A and AI roles and skills.

Find out about the emerging, most hyped and ready for prime-time concepts and technologies in data, and analytics, and AI programs and practices.

Join this roundtable of trailblazers and thought leaders for peer discussions and lively exchanges on advancing women in IT leadership today. Women attendees are invited to explore visible opportunities and challenges, and to uncover and share best practices for successfully navigating the path to IT leadership.

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.

Data ecosystems, built on data fabric design and infused with AI, promise an integrated, cost effective, and operationally simple approach to varied data management challenges. However, they don't yet always deliver on that promise. This research explores the maturity of various ecosystem components and provides a guide for D&A leaders and others looking to invest in data foundations for competitive differentiation.

This workshop will cover the end-to-end process of managing a data product, from ideation to launch. It will include product roadmap development, stakeholder management and go-to-market stra tegies.

Join this session to get oriented about where you are on the AI maturity curve and develop the next steps to achieve your goals. Explore AI maturity by addressing its building blocks such as use case selection, technology operationalization and AI adoption.

How can data science accelerate the energy transition? In this session, UK Power Networks’ Data Science team presents real-world tools driving a smarter, more flexible electricity grid on the path to Net Zero. From democratising access to grid insights to automating decision-making for clean energy, this talk highlights how applied AI and analytics are transforming infrastructure at scale, with lessons for any data professional tackling high-impact, real-world problems.

UK Power Networks will share how they extracted data from century-old handwritten and printed archives. Using FME coupled with AI, UKPN was able to automate a task turning a multi-year effort into days. See how All-Data, Any-AI Integration can be used to unlock new insights, drive efficiency, and accelerate innovation.

Join us to learn how the Schwarz Group, the parent company of Lidl and Kaufland and the 4th largest retailer worldwide, leverages containerized Strategy in STACKIT for sustainable growth of their data and AI infrastructure. Over a decade-long partnership, Schwarz has utilized sovereign data and cloud services to maintain a competitive edge. Discover their use of Strategy, the last independent BI tool, with open data formats to avoid vendor lock-in. Get insights into delivering open and sovereign cloud solutions for their business lines and the EU, ensuring data independence and scalability.

Data observability helps to detect and diagnose unknown unknowns in data quality and pipeline performance—but it doesn't fix them. Learn how Bigeye is leveraging AI to enable data teams to resolve data quality and pipeline issues, and even prevent them occurring in the first place.

Disconnected applications slow operations, impacting everything from customer support to case resolution. Eliminating outdated processes is essential for peak performance.

After extensive market research and comparing all of the biggest players, Enate chose SnapLogic to integrate disparate systems, eliminating manual errors and freeing resources for strategic work.

With a unified view, SnapLogic's AI capabilities support Enate’s Business Orchestration Automation Technology (BOAT), helping service providers operate efficiently, reduce complexity, and deliver exceptional customer results.

There is no value from AI without a Data Strategy. AI hallucinations are a significant risk in delivering ROI across the enterprise. Stardog’s knowledge graph-powered agentic architecture delivers an AI-ready data foundation with a semantic layer that provides facts and grounding needed to eliminate hallucinations. Learn why traditional Retrieval-Augmented Generation and straight Text-to-SQL approaches can be insufficient and how you can broaden AI's access to diverse and dense data and ensure timely, secure, and, most importantly, hallucination-free answers from your own data.

Join us for a networking reception on the Exhibit Showcase where you can engage with your peers, Gartner experts, and exhibitors while enjoying delicious food and beverages. Evaluate industry offerings that can move your business forward.

Trust is both the foundation and the result of a strong culture, and it’s fundamental to creating a better world of work. Yet, with the dynamics of teams in a state of flux, it has never been more challenging to keep people connected, engaged, and aligned with company values – and with each other. In this session, Rachel challenges assumptions and reframes how trust really works. You’ll walk away with clear frameworks and actionable ideas on how to put trust at the heart of your leadership and culture – and learn how to behave in trustworthy ways.

As organizations race to harness agentic AI, the challenge is not just prototyping but picking the right use cases and confidently deploying them. Discover how DataRobot is helping organizations like BMW, DHL and VidaCaixa on their journey, and learn the key considerations for developing, deploying, and governing agentic AI:

- Picking the right tools and techniques: Knowing what frameworks and models to use when.
- Streamlining AI Infrastructure: How to efficiently manage and scale your AI infrastructure.
- Examples demonstrating agentic AI in action.

As enterprises race to unlock AI, many face barriers like poor metadata and weak governance. In this session, Rebecca O’Kill (CDAO of Axis Capital), Tim Gasper, and Juan Sequeda share how AI is not just the outcome of governance—it’s the incentive. Framing AI as the “carrot” motivates adoption of governance as a strategic enabler. Learn how AI-powered governance, data marketplaces, and knowledge graphs together provide context, drive smarter metadata, and enable impactful AI use cases like underwriting agents that require structured and unstructured data.

As data becomes the lifeblood of modern enterprises, protecting it must be seamless, scalable and strategic. Discover how leading organisations use automation, tokenisation and AI to embed privacy from ingestion to sharing. Learn how built-in protection boosts breach resilience, automation cuts compliance costs, and controlled sharing enables monetisation. Real-world use cases show how AI and policy-based controls make privacy a driver—not a blocker—of faster, smarter decisions.

KIL Proposal:
Implement your target AI governance operating model by mapping governance pillars to key AI components and differentiating AI capabilities. This model should connect with other governance bodies and extend existing governance models to AI-specific considerations of trust, transparency and diversity.