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About Data Expo

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2026

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All the information about exhibiting in one document.

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About this edition

Program

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Exhibitor list Blog & Knowledge

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Blog

Uitgelicht

6 Must-haves bij data governance

Interview: ‘Grote AI-dromen verwezenlijk je in kleine stapjes’

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Anil Turkmayali

Head of Research and Innovation Programs

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Anil Turkmayali is Head of Research and Innovation Programs at the International Data Spaces Association (IDSA). Before that, he was Senior Project Manager at IDSA, working in the Technology and Architecture Team, co-leading IDSA's involvement in various EU projects) and managing the association's open-source operations, strategy, assets and community. Prior to this, he served as Chief Innovation Officer for The Uncomplicated Family Corporate Group in Calgary, Canada, while also running his own consultancy, Arendify OÜ, based in Tallinn, Estonia. As Director of Technology Transfer Office at Bahçeşehir University, Anil directed R&D grant processes and represented the university in EU organizations for R&D. Earlier, he was Director of Business Development at UBIT Bilgi Teknolojileri in Istanbul and Chief Business Officer at Hemen Masa Inc., a restaurant reservation startup. Anil Turkmayali began his career as a Research and Teaching Assistant at Kadir Has University in Istanbul, working on research projects with the Istanbul Metropolitan Municipality and digital teaching courses. Anil holds a Master of Arts in Communication Studies from Kadir Has Üniversitesi, where his thesis proposed a new teaching method for design thinking in interactive media, and a Bachelor of Arts in Visual Communication Design from Bahçeşehir Üniversitesi.
Anil Turkmayali

Scalable AI Impact: From Trusted Data Sharing to AI-Ready Companies

High-quality AI needs high-quality data. Anil Turkmayali (IDSA) shows how trusted data sharing becomes enabler for AI: agentic AI uses enterprise data while control and IP rights stay with the data owner. That assurance builds trust, the basis for trustworthy agentic participation in data spaces. With the DataPACT AI Compliance Framework and AI Compliance Toolbox, companies become AI-ready and AI-Act-compliant during implementation rather than afterwards.
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