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Women in Data Science Zürich 2026
Credits: WiDS Zurich
WiDS Zürich 2026 - One Experience. Real Impact.
Learn what actually works in Data Science and AI and connect with people who are building it.
This spring, Women in Data Science Zürich invites you to two flagship events designed to move beyond theory and into practice. Whether you want to sharpen your skills, rethink your career or understand how AI is really applied in organisations - this is where it happens.
19 June 2026 - WiDS Zürich Annual Conference
📍 SwissRe Centre for Global Dialogue, Rüschlikon
🕘 09:00–18:00
Our 8th annual conference explores: “The Future of Data Science: From Trends to Impact.”
This is a full-day experience focused on one key question:
What does it take to turn AI from experimentation into real value?
What you gain:
-
Clear understanding of where data science and AI are actually heading
-
Real examples of how organisations move from POCs to production
-
Insights into what works, and what fails, in AI transformation
-
Access to leaders from industry, academia and research
-
Opportunities to connect, ask questions and build your network
Highlights:
-
Keynotes from leading experts across sectors
-
Sessions on generative AI, multimodal systems, MLOps and more
-
Applied use cases
WiDS Zürich 2026 - One Experience. Real Impact.
Learn what actually works in Data Science and AI and connect with people who are building it.
This spring, Women in Data Science Zürich invites you to two flagship events designed to move beyond theory and into practice. Whether you want to sharpen your skills, rethink your career or understand how AI is really applied in organisations - this is where it happens.
19 June 2026 - WiDS Zürich Annual Conference
📍 SwissRe Centre for Global Dialogue, Rüschlikon
🕘 09:00–18:00
Our 8th annual conference explores: “The Future of Data Science: From Trends to Impact.”
This is a full-day experience focused on one key question:
What does it take to turn AI from experimentation into real value?
What you gain:
-
Clear understanding of where data science and AI are actually heading
-
Real examples of how organisations move from POCs to production
-
Insights into what works, and what fails, in AI transformation
-
Access to leaders from industry, academia and research
-
Opportunities to connect, ask questions and build your network
Highlights:
-
Keynotes from leading experts across sectors
-
Sessions on generative AI, multimodal systems, MLOps and more
-
Applied use cases showing measurable impact
-
Mentorship tables and speed interviewing
-
A curated, high-quality audience
More info: www
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Tickets & Discounts
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Early-bird: 20% off (limited availability)
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Group discount: 5% for teams (10+)
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Student tickets available
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About WiDS Zürich
Women in Data Science (WiDS) is a global initiative originating at Stanford University.
WiDS Zürich is one of the most active European chapters, bringing together professionals, researchers and students across Switzerland.
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Join us in May and June to build skills, gain real insights and connect with people shaping the future of data and AI.
📩 Questions: wids.attendees@gmail.com
Veuillez remplir les champs suivants.
Billets
La vente se termine le vendredi, 12.06.2026 00:00
Professional Tickets: Conference and Pre-Event Session
Professional Tickets: Conference - 19th of June
Professional Tickets: Pre-Event Session - 11th of May
Complet
Student Tickets: Conference and Pre-Event Session
Student Tickets: Conference - 19th of June
Student Pre-Event Session - 11th of May
Complet
Student group - 5% discount Conference and Pre-Event Session
Student group - 5% discount Conference - 19th of June
Student group - 5% discount Pre-Event Session - 11th of May
Complet
Les prix incluent la TVA
Les billets sont également disponibles dans nos Points de vente.
Points de vente de billets
Liechtensteinische Post
Orell Füssli
SOB
Solothurn Tourismus
Tourisme de Rheinfelden
TourismusRegion Baden
Total: XX.XX CHF
Infos
Organisateur
Women in Data Science Zürich 2026 est organisé par:
Women in Data Science Zürich 2025
Liens vers l'organisateur
Catégorie: Science & Technologie