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AI & Big Data Expo Europe 2026

The Leading EU Event for Enterprise AI and Big Data

Date: 19th – 20th Oct, 2026

Location: Amsterdam

Country: Netherlands

Digital Science is heading to AI & Big Data Expo Europe 2026 – the leading European event for enterprise AI and big data, part of TechEx Europe – taking place October 19–20 at RAI Amsterdam. As enterprises move generative AI and autonomous agents from pilot to production, one question decides success: can you trust your AI? We’ll be showcasing two of our solutions that answer it — metaphactory, which gives AI models the meaning and business context they need with a unified semantic model, and Overleaf, which brings the power of AI to scientific and technical writing with a single promise: your work stays yours. Always.

Opportunities to connect with us

At our booth

Visit the Digital Science team at booth 330 to explore two answers to the same question — how do you make AI trustworthy enough for production?

  • metaphactory – AI & Knowledge Graph Platform: See how enterprises connect fragmented data, create one shared language, and drive explainable business insights by grounding LLMs and AI agents in a governed semantic layer. Your enterprise AI is ready for production — is your data?
  • Overleaf – The scientific & technical writing platform trusted by 30 million users worldwide: See how research and engineering teams bring AI into their writing workflow on their own terms — opt-in AI, no model training on your work, and full institutional controls.

Bring your use case and let’s talk.

At our panel

Panel: Unifying Data, AI & Business Strategy 

Sebastian Schmidt, EVP Enterprise, Digital Science | Stuti Oberoi, Head of Data & AI Strategy & Design, ABN AMRO Bank | Theo Gough, Data & Analytics Head of Strategy, Governance & Experimentation Enablement, Just Eat Takeaway | Robin Jansen, Rabobank 

Monday, October 19, 16:20–17:00 | AI Leadership track

How do organisations turn data and AI into measurable business outcomes? Digital Science’s Sebastian Schmidt joins product, platform, and business leaders to explore operating models that align data foundations with AI goals. Case studies will show how cross-functional teams bridge silos, balance agility with governance, and deliver ROI from AI initiatives.

At our presentation

Beyond the Black Box – Operationalising Real-Time, Embedded AI Systems 

Sebastian Schmidt, EVP Enterprise, Digital Science

Monday, October 19, 10:10–10:40 | AI Leadership track

The AI landscape is changing rapidly, and companies need to be flexible and react with speed — while focusing on high-value use cases that drive business value rather than wasting resources on low-value AI projects. This session explores how advanced analytics and AI capabilities are reshaping how we work and how companies steer operations and navigate uncertainty.

Topics include: setting up an AI governance structure with AI leads in the business who work closely with IT on use case exploration and development; practical, business-driven AI use cases; and deployment options for AI capabilities — from vendor AI platforms with expanding capabilities, to specific use cases requiring development, to self-service AI for technical and non-technical users.

What we’ll be showcasing

Trustworthy AI, from your data to your documents

Digital Science solutions support the entire enterprise knowledge lifecycle — and at AI & Big Data Expo Europe, we’re demonstrating how that translates into AI you can trust.

metaphactory – the semantic foundation for production-ready enterprise AI

  • A unified semantic model for AI: Give your AI models the meaning and business context they need. Connect fragmented data across silos and create one shared language that both humans and machines understand.
  • Trust and explainability by design: Ground LLMs and AI agents in governed, machine-interpretable enterprise knowledge, so that every insight can be traced back to its source, and AI stops being a black box.
  • From pilot to production: Move beyond proof-of-concepts with a scalable knowledge graph platform that makes your data AI-ready.

Overleaf – AI-powered scientific & technical writing you can trust

  • Your research isn’t a training set: Your work never trains Overleaf’s models unless you opt in, and your data is never sold or shared with third parties.
  • AI on your terms: No AI feature activates without your consent, with plain-language warnings before any third-party model sees your work — and administrators can control AI access across their subscription.
  • Built for how researchers and engineers actually write: Every AI feature is designed for scientific writing—equations, citations, collaboration—on the platform trusted by 25 million users worldwide.

About AI & Big Data Expo 2026

AI & Big Data Expo Europe is the leading European conference and exhibition for enterprise AI and big data. The 2026 edition focuses on moving generative AI and autonomous agents from pilot to production, covering agentic AI, AI governance, and enterprise infrastructure at scale.