Many data teams are under pressure to organizations leverage AI, but few recognize that AI is only as powerful as the data behind it. In this session, industry veteran Adam Greco will use humor and storytelling to explore why companies often struggle to centralize customer data and how fragmented, team-owned datasets undermine AI’s potential. He will highlight how executives sometimes turn to AI as a shortcut, overlooking the fundamental need to fix core data challenges first.

Drawing on decades of experience, Adam will explain how AI inevitably magnifies the quality of your current data—accelerating either insights or errors. He will show how the urgency of AI adoption can serve as a catalyst for improving data governance, centralization, and accessibility. Once organizations establish a single source of truth, AI can be harnessed to deliver meaningful efficiencies, empower marketers with real-time access, and drive smarter decision-making across the enterprise.

Attendees will walk away with a practical understanding of why clean, centralized data is the foundation of AI success—and how to position AI as an enabler of transformation, not a distraction from data realities.

Not your usual presentation. Come to hear a fairy tale about how a Brave Team of Data Knights Saved the Kingdom from AI Mayhem.

Institutions are drowning in complex, fragmented data ecosystems, slowing down AI adoption, increasing compliance risks, and making data governance a burden.

Without clear data lineage automation, organizations struggle with data trust, explainability, and operational inefficiencies. In this session, Adam Segal, Senior Solutions Engineer of Cloudera Octopai Data Lineage, will reveal how automated lineage and metadata intelligence can:

•  Unravel the data mess by mapping end-to-end lineage across hybrid environments
•  Ensure AI readiness with traceable, high-quality metadata flows
•  Simplify compliance with real-time visibility into data movement and ownership
•  Empower teams by making data accessible without IT bottlenecks 

Discover how leading organizations turn automated data lineage into a competitive advantage, ensuring data clarity, compliance, and increased adoption of AI-driven innovation.

Data leaders know the frustration: talented engineers spending too much time maintaining pipelines instead of driving impact. This session shows how Coalesce combines automation, standardized building blocks, and AI to free teams from repetitive work. Governance is no longer an afterthought and every data persona is empowered to deliver trusted insights at scale.

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.

Artificial Intelligence (AI) is reshaping the way businesses operate, but its success hinges on more than just deploying advanced software—it requires a comprehensive strategy that makes your data AI ready, governs your models effectively, and fosters organizational transformation. ​

In this session, Precisely will be joined by elia group who will share their real-world AI journey, including their goals, challenges, and the actionable steps they are taking to overcome them. ​

Key insights include:​

- Identify the pillars of AI-ready data, ensuring accuracy, completeness, and trustworthiness.​

- Learn about the differentiating considerations for monitoring and managing the governance of AI models that align with EU AI Act.​

- Hear proven, repeatable methodologies that integrate both innovative software and change management strategies to drive success across diverse teams and foster a culture of continuous improvement.​

Is there a silver bullet, panacea, one-size-fits-all, quick-fix, band-aid, easy button, magic wand solution to all your data problems?

The answer is: YES, of course, YES!

In an enterprise world where legacy systems loom large and every action creates more data, the stakes have never been higher. Amid the rising chaos, who will champion real business value over hype? 

Enter the CDO (Chief Dog Officer) and a band of unlikely allies, including the IT Bee and the CAT-sultant. Together, they navigate a landscape filled with buzzwords, battle the forces of Agentic AI, and work to transform fragmented information into tangible, actionable business outcomes.

These surprisingly relatable characters capture the personalities, tensions, and interactions found in real-world data organizations.

This session continues the Data Puppets’ tradition of analog storytelling about digital opportunities. Through video segments, behind-the-scenes glimpses, surprise guests, and live puppet performances, we will explore the exhilarating and hilarious challenges of enterprise data.

Expect laughs, insights, and inspiration to rethink your own organization's data story.

Development teams often embrace Agile ways of working, yet the systems we build can still struggle to adapt when business needs shift. In this talk, we’ll share the journey of how a cross-functional data science team at the LEGO Group evolved its machine learning architecture to handle real-world complexity and change.

We’ll highlight how new modelling strategies, advanced feature engineering, and modern MLOps pipelines were designed not only for performance, but for flexibility. You’ll gain insight into how we architected a resilient ML system that supports changing requirements, scales with ease, and enables faster iteration. Expect actionable ideas on how to future-proof your own ML solutions and ensure they remain relevant in dynamic business contexts.

Powered by: Women in Data®

AI is changing every aspect of how we do our work and analytics engineering is no different. However, using AI to achieve 10x productivity improvements requires a totally new approach to how we do analytics. In this session, we will demystify how to use context engineering, and prompting techniques based on practical experience we've had at rolling our Paradime to some of the most innovative and AI-forward startups, scale-ups and enterprises.

This session features Joe, Matillion's Principal Solution Architect, in conversation with Alex R from EDF, a Lighthouse customer. EDF has already experienced the business value of Maia, with a 75% reduction in data science product delivery time and streamlining hundreds of jobs into a unified system. The discussion will highlight how Maia delivers

unprecedented productivity gains by helping customers move from legacy systems to an AI-driven data future, addressing tech consolidation and eliminating data friction. The Lighthouse program grants participants direct access to Matillion's product and engineering teams, fostering joint development and shared roadmaps, and aims to produce public-facing case studies

This session offers a strategic vision for marketing by 2027, helping businesses prepare effective strategies for 2026. It highlights key technological shifts marketers must understand to stay competitive.

Seven major trends are covered: social platforms evolving into entertainment hubs; browsers transforming into AI concierges; AI dominating the middle funnel, requiring brands to own both ends; B2C marketing adopting B2B tactics to appeal to humans and AI; blockchain resurging for luxury verification; the rise of 'Voice-to-Vision' interfaces; and gaming becoming central to AI-driven emotional connections.

To address these shifts, proposed strategies include: shifting social content toward entertainment and using AI for creation; optimizing for AI discoverability through Agent Experience Optimization (AEO); launching brand campaigns designed for AI recognition; targeting both human and AI audiences; leveraging blockchain for exclusive offers; preparing for voice-input/image-output user journeys; and treating gaming as a core marketing channel.

Attendees will gain actionable insights to adapt their strategies, optimize for AI-first interactions, and leverage emerging technologies to thrive in the evolving marketing landscape.

In this joint session, GoodData and Purple will share a field guide to turning analytics into revenue. 

Together, we’ll show you how governed, context-rich intelligence becomes paid products that customers adopt. Using Purple’s guest Wi-Fi data product as an example, we’ll unpack what’s sold, how it’s priced, and how GoodData powers it in a step-by-step runbook you can use today. 

We’ll close with what’s next: operationalizing and monetizing AI Assistants and Agents so you can charge for outcomes, not charts.

Paradime is the pioneer in building the 'Cursor for Data' - a platform for the AI-enabled analytics engineer to achieve 10x productivity. In this lighting talk, we will showcase how Paradime and DinoAI is changing the way analytics engineering is done.

Everyone talks about AI, but few are truly winning with it. In today’s fast-paced analytics landscape, dashboards and chatbot features aren’t enough. Winning in the age of AI takes more: a unified, governed platform that brings data, AI, and people together to drive real decisions at scale.

In this session, discover how Pyramid Analytics helps organizations cut through silos, hype, and complexity to deliver smarter, faster, and more trusted decisions across the enterprise.

As AI systems evolve, the need for robust infrastructure increases. Enter Dapr Agents: an open-source framework for creating production-grade AI agent systems. Built on top of the Dapr framework, Dapr Agents empowers developers to build intelligent agents capable of collaborating in complex workflows - leveraging Large Language Models (LLMs), durable state, built-in observability, and resilient execution patterns. This workshop will walk through the framework’s core components and through practical examples demonstrate how it solves real-world challenges.