Governance That Gets Used
Most AI governance is written to satisfy legal and read by nobody. The rules exist, adoption stalls anyway, and the organisation concludes people are the problem. They’re usually not — the rules just ...
Gessell Wolitski
Mona Daylamian
From Community Conversations to Community Intelligence
Valuable insights often remain buried inside unstructured messages of communities! At Rotterdam Women in Tech, we wanted to better understand our members' needs and plan initiatives based on ...
Vuyo Gwayi
So your system passed the audit, why is it still a fraud risk ?
Your AI System Passed the Audit, So Why Is It Still a Fraud Risk? Your systems can pass every audit and still expose you to fraud. The risk sits in how AI-assisted decisions get made, trusted, and ...
Nosi September
Measuring Business Value for AI & Data initiatives
Organizations invests millions of Euros in cloud platforms, data foundations, analytics, and AI. Yet despite the investment made surrounding generative AI and intelligent automation, many ...
Mai Nguyen
Data Laundering: How AI Turns Small Errors Into Confident Lies
Most AI projects don't fail on model quality — they fail on data quality. Gartner predicts 60% of unsupported AI projects will be abandoned through 2026, and the reason isn't dirty data: it's data ...
Caroline Williams
Principles of Data Feminism - Making Data Work for Everyone
Seven practical principles for ensuring that your data and AI projects are built with integrity, transparency, effectiveness and inclusively.
Rachel Costa
The Missing Layer in Your Data Stack and AI Strategy: The Human
Beyond the technical stack lies the human layer—why designing for user diversity is key to data adoption
Gabriela Plucinska-Hoosemans
Are dashboards dead? What neuroscience says about the future of analytics
As AI becomes more and more present and conversational interfaces replace standard data views a lot of leaders find themselves asking: do we even need dashboards anymore? And while many who are quick ...
Timea Toltszeki
Headless BI and Vibe Coding in the New Era of Analytics
Headless BI separates the analytical logic (metrics, calculations, data models) from the presentation layer (dashboards, charts, UI). Instead of a monolithic tool like Tableau or Power BI where the ...
Ingrid Pino
How to fine-tune global strategies without drowning in local data
Global companies need their core message to resonate with local audiences, but strategists can drown in data before distilling the cultural values that really count. The research shared in this talk ...
Maria Brosi
The Unique Value of Human Insight
When data provides the answers, what will employers hire humans for? Join Maria Brosi as she challenges the audience to rethink the role of human insight, exploring why capabilities like critical ...
Amanda Patist
Building Data Communities for Global Growth
A collection of tools and activities to help empower your data users to thrive.
Anindita Misra
Who Owns Business Decisions in the Age of AI Agents?
Balancing autonomy, trust and business value in the autonomous enterprise
Aleksandra Atanasova
Shadow AI is not the Problem, It's a Governance Signal
Nowadays, enterprise AI adoption rarely fails for lack of ambition, instead it fails for lack of governance and necessary preconditions for a sustainable, phased integration. Based on a mixed-methods ...
Lotte Govers - van Koolwijk
From Zero to Platform: Building a Modular Multi-Tenant Data Platform
When I joined a startup as its first data engineer, I wasn't setting out to build a data platform—I was simply trying to eliminate repetitive work. What started as a single asset bundle evolved into ...
Monique Telgt
Van contactaanvraag naar gestructureerde opvolging: CRM voor het partnerproces
Tijdens haar internship bij ZVVT heeft Monique binnen MARI een CRM-oplossing ingericht voor het partnerproces. Het doel is om het volledige proces, van de eerste contactaanvraag tot de verdere ...
Femke Cornelissen, Marieke Kruidhof
Niet de tool, maar het werk. Waarom AI-transformatie een HR-vraag is.
Iedereen praat over AI. Bijna niemand nog over werk. De tool is nooit het probleem. Het werk zelf moest op de schop, en dat lukt niet vanuit IT alleen. We laten zien waarom de grootste ...
Marjolein Opsteegh
Waarom dezelfde data tot verschillende conclusies kan leiden
Organisaties investeren in dashboards, data en AI. Toch worden er dagelijks verkeerde conclusies getrokken op basis van dezelfde informatie. In deze sessie laat Marjolein Opsteegh zien hoe ...
Evi Van der Velden
Van AI-beleid op papier naar beleid dat werkt
AI ontwikkelt zich razendsnel. Maar hoe zorg je ervoor dat je organisatie AI verantwoord en praktisch inzet? Welke toepassingen staan we toe, welke data mogen medewerkers gebruiken en welke risico’s ...
Melissa Pruijn
Jouw psychologische blauwdruk voor conversationeel ontwerp tussen mens en AI
Deze sessie duikt in de cognitieve principes die bepalen of een AI-interactie moeiteloos aanvoelt of juist vermoeiend, en of deze gebruikers versterkt of overweldigt.
Selina Thompson
Beyond AI Usage: How Do You Know Whether Work Has Actually Changed?
AI usage data can show access, activity and patterns of use. But usage alone does not tell us whether work has actually changed. This practical session explores how to connect AI activity with ...
Negin Nafissi
Waarom Fabric als fundament? Van Excel tot CI/CD
Waarom blijven data, tools en teams in silo’s werken? In deze praktische sessie laat Negin Nafissi zien hoe Microsoft Fabric data engineering, analytics en BI samenbrengt. Via twee demo’s (van Excel ...
Iris Ficker Younge
How to Build with AI as a Non-Coder
Data Sovereignty in Practice: A Local Dutch Speech-to-Text App
What changes when your own voice no longer leaves your ...
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Melissa Ablett-Jordan, Oliviana Bailey
404: Women's Health Not Found (So She Built It Herself)
Women wait longer for diagnoses, and that data gap runs straight into AI. There's a second gap too: even where the data exists, almost nobody builds the solutions. Melissa Ablett-Jordaan, founder of ...
Oliviana Bailey
Assessing and Redesigning Tasks for AI-Ready Workflows
Many tasks get labeled "not right for AI" when they simply haven't been structured for it yet. In this session, AI4ALL's Oliviana Bailey shares a practical framework for evaluating whether a task is ...
Rianne van der Loo
The Data We Don’t Measure
The things we call soft are actually hard, What leadership can teach us about the things we call soft
Marjolein Jongbloed
Bridging business & technology: preparing brands for the Agentic Era
Traditional customer journeys are no longer enough as AI increasingly shapes how people research, compare and buy. Drawing on her move from global marketing into Pon’s Datalab, AI Commerce Strategist ...
AI Pubquiz
Come by the women@dataexpo stand on Thursday afternoon for a pub quiz about data and AI. You play in teams, there is no sign-up, and you do not need to know everything. The questions are about ...
Irina Popovikj
How to Feed Your AI Agent a Balanced Diet
What makes a good AI agent comes down to three ingredients: quality data, the security and governance it has to work within, and the custom tools you build when something doesn't exist yet.
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