Generative AI and AI tools are democratizing data and blurring lines between business, data, and IT, making traditional operating models obsolete. Zilveren Kruis, the largest health insurer in the Netherlands, is modernizing by enabling self-service, implementing AI productivity suites, fostering collaboration across departments, and redefining data roles to drive rapid, compliant innovation.

Hoe bouw je als regio aan digitale autonomie, met aandacht voor publieke waarden? DataFryslân deelt het transitieverhaal van strategie naar praktijk. Met concrete lessen over het inzetten van generatieve AI voor datarapportages en het borgen van ethiek via een onafhankelijke regionale commissie. Wat werkt, wat niet – en hoe je koers houdt in een complexe omgeving.

In deze kleine groepsessie gaan we echt de techniek in. Breng je concrete vragen over GenAI monitoring mee - hoe bepaal je of het werkt, welke metrics tellen, hoe ga je live? Geen presentatie maar échte discussie waar we van elkaar leren. Als Head of Development deel ik onze aanpak, maar ben minstens zo benieuwd naar jullie ervaringen. Kom maar door!

When time is critical, finding the right clinical trial can mean the difference between hope and despair. In this session, Marshall Van Beurden, CTO at myTomorrows, shares how his team built a GenAI-powered platform on Amazon Bedrock that’s transforming this process—turning complex global trial data into life-changing matches with 98% accuracy and 90% faster than before

Van werkend prototype naar échte klanten: hoe bepaal je of je GenAI-toepassing " goed werkt"? In deze praktische sessie deel ik concrete technieken voor het meten en sturen van non-deterministische AI-modellen op schaal. Van monitoring tot bijsturing - met passie de technologie nuchtere blik resultaten. Voor data specialists zakelijke stakeholders die GenAI daadwerkelijk willen inzetten.

Wat als je het Handelsregister zélf vragen kon stellen – zonder technische kennis? KVK onderzoekt hoe generative AI dit mogelijk kan maken. In deze sessie laten we zien hoe we in een pilot met een slimme chatbot gebruikers in staat stellen om ‘in gesprek’ te gaan met het Handelsregister om direct antwoord te krijgen op hun vragen. We delen onze aanpak, uitdagingen en inzichten voor een veilige en schaalbare inzet van AI.

How do organizations move from predictive ML to impactful Generative AI? This session presents a strategic blueprint for this transition. It showcases how Google leverages Gemini and AI Agents to automate complex engineering workflows, achieving an 80% reduction in time spent on issue resolution. Gain a framework for fostering innovation, enabling teams, and driving measurable results with LLMs.

To fully unlock the potential of AI within KPN, scaling is key. Therefore KPN focuses on 4 pillars: AI Literacy, Governance, end-to-end implementation with business, IT, data and AI, and the expansion of our technical infrastructure. Together, these elements support the democratization of AI capabilities across the organization. With the emergence of Generative AI—especially Agentic AI—broad enablement has become even more critical. In this session, KPN will share organizational opportunities and challenges related to AI adoption at scale, and how it utilizes Dataiku as the central Data Science platform to drive this transformation.

Join Signify and AWS as we explore the journey of bringing natural language AI control to Philips Hue smart lighting. Follow their path through critical decisions around model selection, evaluation frameworks, and knowledge base architecture as they developed custom classifiers and orchestration flows to transform casual conversation into magical lighting experiences. See how AWS's evolving GenAI capabilities, from foundation model platform to enterprise-grade features, are helping organizations bring innovative AI solutions to production with confidence

Knowledge graphs are key to taking GenAI from proof of concept to production — making applications more reliable, transparent and secure. In this session we’ll show how to build one: connect siloed data, enrich it with semantics and structure it for GenAI. With real tools, examples and steps, you’ll see how graphs prepare enterprise data for AI and unlock faster, more trustworthy results.

Rabobank scales GenAI through complementary approaches. First, with an analytics platform strategy: a lab platform for low-friction experimentation on non-sensitive data, and a lab platform for secure development and a governed promotion path to production. Second, the availability of re-usable GenAI building blocks that enable secure, responsible, standardized, and scalable development of GenAI solutions.

In the GenAI era, enabling everyone to build with AI is critical. Learn how Dataiku, The Universal AI Platform™, empowers teams of all skill levels to build and deliver GenAI and agentic AI products with speed, control, and confidence. Uncover approaches for integrating GenAI and orchestrating AI agents in production across functions with the right controls, access, and oversight.

Business challenges that were once sporadic are now persistent and widespread—impacting everyone from business users and analysts to data engineers and scientists. Learn how the latest innovations in Gen AI are reshaping the BI landscape and unlocking actionable insights for every user. Here's what we'll cover: What defines a truly Gen AI-powered BI platform How businesses can empower every user with Gen AI How Agentic AI is shaping BI Live demos showcasing Gen AI and Agentic AI capabilities in BI