Comment un grand groupe bancaire peut-il structurer sa gouvernance des données pour répondre aux exigences réglementaires tout en créant de la valeur pour les métiers ?

Michel Lunetta, Group Product Owner en Data Management chez BPCE, partagera le parcours du groupe — des premières initiatives menées chez Natixis à la généralisation d’un cadre de gouvernance unifié à l’échelle de l’entreprise.

Il reviendra sur les leviers activés pour renforcer la traçabilité, faciliter la documentation et assurer une mise en conformité efficace, grâce à une approche agile, modulaire et centrée sur les usages métiers.

Cette transformation progressive, soutenue par la plateforme Actian Data Intelligence (anciennement Zeenea), a permis de poser les bases d’un catalogue de données de confiance, au service de la conformité… et de la valorisation des actifs data.

BPCE: gouvernance data unifiée pour conformité & valeur métiers. Traçabilité, doc agile/modulaire; Actian Data Intelligence (ex-Zeenea).

Abstract : À l’ère de la dépendance croissante aux géants technologiques, les organisations doivent repenser leur stratégie pour allier indépendance numérique et compétitivité. Cette intervention explore comment maîtriser ses infrastructures, sécuriser ses données et innover sans compromis, tout en restant agile face aux défis économiques et réglementaires.

À travers un retour d’expérience concret de Entrepreneurs.com et des solutions éprouvées (cloud souverain, résilience des données, écosystèmes locaux), nous montrerons que la souveraineté n’est pas un frein, mais un levier de différenciation et de croissance. Un focus sera fait sur les bonnes pratiques pour initier cette transition, en s’appuyant sur des partenariats stratégiques et des technologies de confiance.

Les cycles longs de planification IT appartiennent désormais au passé. Dans un contexte où les capacités technologiques évoluent à grande vitesse, et où les contraintes commerciales et réglementaires changent sans cesse, les entreprises doivent repenser leur approche : plus de souplesse, plus de réactivité, plus de valeur livrée rapidement. À travers les retours d’expérience de plusieurs clients de SnapLogic, découvrez comment l’intégration intelligente des données, alliée à une architecture hybride et une gouvernance agile, devient un levier clé pour relever les défis de la transformation numérique. Aujourd’hui, c’est l’IA. Demain, qui sait?

The world has never been more connected. Today, customers demand near-perfect uptime, responsive networks, and personalized digital experiences from their telecommunications providers. 

The industry has reached an inflection point. Legacy architectures, fragmented customer data, and batch-based analytics are no longer sufficient. Now is the time for Telcos to embrace real-time, when the speed of insights and the ability to remain agile determine competitive advantage.

In this session, leaders from Orange Belgium, Google Cloud, and Striim explore how telcos can rethink their data foundations to become real-time, intelligence-driven enterprises. From centralizing data in BigQuery and Spanner to enabling dynamic customer engagement and scalable operations, Orange Belgium shares how its cloud-first strategy is enabling agility, trust, and innovation.

This isn’t just a story of technology migration—it’s about building a data culture that prioritizes immediacy, empathy, and evolution. Join us for a forward-looking conversation on how telcos can align infrastructure, intelligence, and customer intent.

Ten years ago, I began advocating for **DataOps**, a framework designed to improve collaboration, efficiency, and agility in data management. The industry was still grappling with fragmented workflows, slow delivery cycles, and a disconnect between data teams and business needs. Fast forward to today, and the landscape has transformed, but have we truly embraced the future of leveraging data at scale? This session will reflect on the evolution of DataOps, examining what’s changed, what challenges persist, and where we're headed next.

**Key Takeaways:**

✅ The biggest wins and ongoing struggles in implementing DataOps over the last decade. 

✅ Practical strategies for improving automation, governance, and data quality in modern workflows. 

✅ How emerging trends like AI-driven automation and real-time analytics are reshaping the way we approach data management. 

✅ Actionable insights on how data teams can stay agile and align better with business objectives. 

**Why Attend?**

If you're a data professional, architect, or leader striving for operational excellence, this talk will equip you with the knowledge to future-proof your data strategies.

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®

This session will explore Merlin Entertainments’ data transformation journey in partnership with Telefónica Tech. Starting from a position of minimal governance and limited internal capability, Merlin Entertainments has built a federated data strategy, implemented agile data product teams, and delivered impactful use cases such as the Genie AI. This talk will highlight how Merlin Entertainments developed a partner-agnostic delivery model to embed expertise and drive business value. Attendees will gain practical insights into structuring data teams, overcoming transformation hurdles, and leveraging partnerships to innovate at scale.

How long will it be until an AI first company dominates your industry? Could that disrupter be your business? 

In this keynote, Gareth Martin (CEO of Manuka AI) and Maria Bines (CEO and co-founder of SynapseDX) will challenge comfortable assumptions about how AI should be used. Maria will share how she turned AI agents into a working scrum team — complete with job descriptions, an org chart, and the messy lessons of managing digital workers who don’t behave like humans. Gareth will explore why today’s obsession with “use cases” is a band-aid, and why process-driven adoption is the only way to avoid being disrupted — or irrelevant. 

This session isn’t about safe platitudes. It’s about what’s really happening in the wild, what technical professionals need to prepare for, and why the future of AI could look like seamless orchestration… or a chaotic swarm.

Reason why Data should be the Fourth Pillar for every enterprise. The Board, CEOs, and CxOs must understand why they should treat data strategically. Enterprises’ use cases like AI drive the need for data high in quality, compliance, and speed dimensions. 

- Present a framework for enterprises to understand their current data challenges. 

- Key principles for the data pillar 

- Role of the Chief Data Officer (CDO) - nurture demand for data while taking steps to fulfill the supply of demand through an agile data operating model (DOM). The DOM enabled by people, processes, and technologies. 

- Measuring the impact provided by the data pillar, introduce KPIs such as Total Addressable Value through data (TAV) and Expected Addressable Value through data (EAV). 

- A Maturity Framework for every enterprise to track and progress its data maturity journey.

Datagedreven werken draait om feiten, maar vooral om mensen. Want hoe goed je techniek ook functioneert, zonder draagvlak en de juiste vaardigheden binnen de organisatie wordt datagedreven werken geen succes. Ook niet met AI. In mijn presentatie laat ik zien hoe UWV datagedreven werken binnen HRM implementeert met aandacht voor visie, educatie, communicatie en agile werken. Ook deel ik hoe de inzet van AI ons in de nabije toekomst kan helpen en met welke beperkingen we moeten zien te dealen.

DCMR transformeerde in vijf jaar van een klein datateam naar een professionele data-organisatie. Pieter Vreeburg deelt hoe zij dit bereikten met Agile, DevOps en tooling zoals ownR – inclusief lessen, successen en uitdagingen.

My journey in IT world started as a support engineer. I realised quickly that a lot of teams straggle with collaboration, transparency and tracking work done/undone. That was the time when Atlassian kicked the door down and jumpstarted my career. From that time I'm Atlassian Evangelist, Solution Architect and passionate about Agile Methodology. My business goal is to facilitate people's work by giving them tools that are available from anywhere and at anytime. Key words for myself are simplification and automation.

A 60-minute live webinar in which Jay Rahman, Founder of Fractal Systems, explains how global enterprises have doubled delivery speeds and rescued failing programmes using the Fractal 3M Framework (Mission, Management, Mechanics). The session includes myth-busting on Agile in legacy-heavy settings, real-world case studies from multi-billion-dollar transformations, a practical playbook for rapid programme recovery and acceleration, and insights into achieving 200-400% velocity gains without chaos or burnout.

The role of a Product Manager has transformed dramatically over the last decade, shifting from backlog owner to strategic driver, from feature gatekeeper to value creator. In this talk, Kirill Gamazenkov will explore how the PM role has evolved alongside changing business needs, agile methodologies, and the rise of data-driven decision-making.

KP Division of Research uses Airflow as a central technology for integrating diverse technologies in an agile setting. We wish to present a set of use-cases for AI/ML workloads, including imaging analysis (tissue segmentation, mammography), NLP (early identification of psychosis), LLM processing (identification of vessel diameter from radiological impressions), and other large data processing tasks. We create these “short-lived” project workflows to accomplish specific aims, and then may never run the job again, so leveraging generalized patterns are crucial to quickly implementing these jobs. Our Advanced Computational Infrastructure is comprised of multiple Kubernetes clusters, and we use Airflow to democratize the use of our batch level resources in those clusters. We use Airflow form-based parameters to deploy pods running R and Python scripts where generalized parameters are injected into scripts that follow internal programming patterns. Finally, we also leverage Airflow to create headless services inside Kubernetes for large computational workloads (Spark & H2O) that subsequent pods consume ephemerally.

Kasriel Kay, leading data democratization at Velotix, joined Yuliia and Dumke to challenge conventional wisdom about data governance and catalogs. Kasriel argues that data catalogs provide visibility but fail to deliver business value, comparing them to "buying JIRA and expecting agile practices." He advocates for shifting from restrictive data governance to data enablement through policy-based access control that considers user attributes, data sensitivity, and business context. Kasriel explains how AI-driven policy engines can learn from organizational behavior to automatically grant appropriate data access while maintaining compliance, ultimately reducing time-to-insight and unlocking missed business opportunities.

Data and analytics leaders can use the concept of a “franchise” to communicate the optimal organizational model, data architecture and governance framework that large enterprises require to scale self-service analytics programs.

Discover how leading enterprises are transforming financial planning with AI-driven automation, predictive insights, and dynamic decision-making. In this session, we’ll share best practices and real-world use cases of clients leveraging
IBM Planning Analytics to streamline forecasting, enhance agility, and gain a competitive edge. We’ll explore the latest advancements in Agentic AI; intelligent assistants that proactively analyse data, detect outliers, and recommend next steps, empowering finance teams to operate with greater speed and precision.

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.