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Keynote speakers in Amsterdam, verified

141 international keynote speakers who demonstrably spoke at one of 4 tech events in Amsterdam, Netherlands — most recently on stage first, every talk linked to the public agenda that proves the appearance.

The conference scene in Amsterdam

Amsterdam's conference scene connects European open-source data communities with large-scale international technology forums. PyData Amsterdam, held at the Royal Tropical Institute (KIT) under NumFOCUS, gathers data practitioners, research scientists, and machine learning engineers discussing open-source numerical computing and production systems.

On the commercial and enterprise side, TNW (The Next Web) Conference has brought international tech executives and keynote speakers to the Amsterdam metropolitan area since 2006, while OrangeCon provides an open stage for cloud architecture and infrastructure engineering.

Sources: PyData Amsterdam 2026 schedule , TNW Conference agenda , OrangeCon 2026 schedule

Most recently on stage in Amsterdam

  1. Christophe Blefari September 2026 AI product, Data engineering, Machine learning
  2. Anders Bogsnes September 2026 AI infrastructure, Data engineering
  3. Cheuk Ting Ho September 2026 AI ethics, AI industry applications, AI policy, AI product, LLM, Machine learning, MLOps, Responsible AI
  4. Grégoire Martinon September 2026 LLM, Responsible AI
  5. Kader Miyanyedi September 2026 LLM, MLOps
  6. Özge Çinko September 2026 LLM, MLOps
  7. Ryan Marinelli September 2026 LLM, Machine learning
  8. Sadeeq Akintola September 2026 Data engineering
  9. Alex Litvinov September 2026 Generative AI, LLM
  10. Alexander Kern September 2026 Computer vision, Machine learning
  11. Andy Kitchen September 2026 AI ethics, Machine learning, Responsible AI
  12. Anna Pillar September 2026 Generative AI, LLM
  13. Azamat Omuraliev September 2026 AI infrastructure, LLM
  14. Bauke Brenninkmeijer September 2026 Generative AI, LLM, MLOps 2 talks here
  15. Borja Enrique Vilar Martos September 2026 Data engineering, LLM
  16. Corné Vriends September 2026 AI industry applications, MLOps
  17. Daria Mustafina September 2026 AI industry applications, MLOps
  18. Emir Can September 2026 Generative AI, LLM
  19. Guus van der Ham September 2026 Computer vision, Machine learning
  20. Iryna Kondrashchenko September 2026 Generative AI, LLM, Machine learning, MLOps, NLP 2 talks here
  21. Kexin Fei September 2026 Machine learning
  22. Laura Summers September 2026 AI ethics, AI product, Generative AI, LLM, MLOps, Responsible AI
  23. Lin Jia September 2026 Machine learning
  24. Luisa Orozco September 2026 Data engineering, Machine learning
  25. Majid Hajiheidari September 2026 AI product, Machine learning
  26. Martin Iglesias Goyanes September 2026 AI infrastructure, Machine learning
  27. Matt Topol September 2026 Data engineering
  28. Merel Groen September 2026 AI industry applications, Data engineering
  29. Mohit Kumar September 2026 AI industry applications, MLOps
  30. Nicolai van der Smagt September 2026 AI infrastructure, LLM
  31. Oleh Kostromin September 2026 Generative AI, LLM, Machine learning, MLOps, NLP 2 talks here
  32. Patrick van Balkom September 2026 Data engineering, Responsible AI
  33. Raúl Soutelo Quintela September 2026 AI infrastructure, Machine learning
  34. Rayan Daod September 2026 AI infrastructure, MLOps
  35. Sako Arts September 2026 AI product, Generative AI
  36. Santosh Pingale September 2026 AI infrastructure, Data engineering
  37. Shehab Amin September 2026 AI infrastructure, Data engineering
  38. Tara Farzami September 2026 LLM, Responsible AI
  39. Thijs Nieuwdorp September 2026 Data engineering, Machine learning 2 talks here
  40. Thijs Sluijter September 2026 AI product, Machine learning
  41. Willem Feijen September 2026 AI industry applications, Data engineering
  42. Akhila Vangara September 2026 Machine learning
  43. Belle Bruinsma September 2026 Machine learning
  44. Christiaan Erdbrink September 2026 Machine learning
  45. Csanád Bakos September 2026 Data engineering, MLOps
  46. Dror A. Guldin September 2026 Data engineering, Machine learning
  47. Giampaolo Casolla September 2026 AI product, LLM
  48. Graziano Montanaro September 2026 Data engineering
  49. Jay Alammar September 2026 Generative AI, LLM, Machine learning, NLP
  50. Jeroen Janssens September 2026 AI infrastructure, Data engineering, LLM, Machine learning 2 talks here
  51. Jeroen Nelen September 2026 Generative AI, LLM
  52. Jodie Burchell September 2026 Generative AI, LLM, Machine learning, Responsible AI
  53. Joost van 't Schip September 2026 AI industry applications, Machine learning
  54. Kai Jeggle September 2026 AI industry applications, Machine learning
  55. Konstantinos Tsoumas September 2026 Machine learning 2 talks here
  56. Laura Israel September 2026 Machine learning
  57. Leonardo Amorim September 2026 Machine learning
  58. Luca Baggi September 2026 AI ethics, AI infrastructure, AI research, Computer vision, Generative AI, LLM, Machine learning, NLP, Responsible AI
  59. Maarten Grootendorst September 2026 Generative AI, LLM
  60. Marijn Markus September 2026 AI industry applications, Data engineering
  61. Nadieh Bremer September 2026 Data engineering
  62. Niels van Galen Last September 2026 Generative AI, LLM
  63. Oz Mendelsohn September 2026 LLM, Machine learning
  64. Pauline van Nies September 2026 AI research, LLM
  65. Ricardo Angel Granados Lopez September 2026 Data engineering, LLM
  66. Rutger Lit September 2026 Data engineering, Machine learning
  67. Schelto Crone September 2026 AI industry applications, Machine learning
  68. Steven Mi September 2026 AI product, LLM
  69. Theodore Meynard September 2026 AI industry applications, AI product, Data engineering, Machine learning, MLOps
  70. Thijs Bressers September 2026 Data engineering
  71. Adam Hill June 2026 Generative AI, LLM, MLOps
  72. Gergely Daroczi June 2026 AI infrastructure, AI policy, Robotics
  73. Mingxuan Zhao June 2026 Computer vision, LLM, Machine learning
  74. Adam Toscher June 2026 AI industry applications
  75. Dirk Donkers June 2026 AI industry applications
  76. Niels Loozekoot June 2026 AI industry applications
  77. Peter Geissler June 2026 AI industry applications, LLM
  78. Rajeck Massa June 2026 LLM, Responsible AI
  79. Gabriele Orlandi April 2026 AI research, Computer vision, Generative AI, LLM, NLP
  80. Antonio Castelli September 2025 AI infrastructure, AI product, Generative AI, LLM
  81. Arda Kaygan September 2025 LLM
  82. Dima Baranetskyi September 2025 Data engineering
  83. Evertjan Peer September 2025 Computer vision
  84. Fabio Lipreri September 2025 Generative AI, LLM
  85. George Chouliaras September 2025 AI infrastructure, AI product, Generative AI, LLM
  86. Hannes Mühleisen September 2025 Data engineering
  87. Inge van den Ende September 2025 Machine learning
  88. Iva Gornishka September 2025 LLM, Responsible AI
  89. Javier de la Rúa Martínez September 2025 AI infrastructure, LLM, Machine learning, MLOps
  90. Judith Dijk September 2025 Computer vision, Generative AI, NLP
  91. Laurens Samson September 2025 LLM, Responsible AI
  92. Manolis Manousogiannis September 2025 Machine learning
  93. Manu Joseph September 2025 LLM, MLOps
  94. Maria Bader September 2025 AI product, Computer vision, Generative AI, LLM, MLOps, Responsible AI
  95. Miguel Leite September 2025 Data engineering, Machine learning
  96. Muhammad Chenariyan Nakhaee September 2025 LLM
  97. Oscar Ligthart September 2025 Data engineering, Responsible AI
  98. Pablo Estevez September 2025 Machine learning
  99. Raphael Mitsch September 2025 AI infrastructure, Generative AI, LLM, NLP, Responsible AI
  100. Rodrigo Loredo September 2025 Data engineering, Responsible AI
  101. Shimanto Rahman September 2025 AI industry applications, Machine learning
  102. Vincent Warmerdam September 2025 LLM
  103. Vitalie Spinu September 2025 Machine learning
  104. Vitalii Zhebrakovskyi September 2025 Data engineering, Machine learning
  105. Agustin Iniguez September 2025 AI industry applications, MLOps
  106. Antonino Ingargiola September 2025 Computer vision, LLM
  107. Benjamin Bossan September 2025 AI infrastructure, LLM, Robotics
  108. Danica Fine September 2025 Data engineering
  109. Denis Gaitan September 2025 AI industry applications, MLOps
  110. Dick Abma September 2025 AI industry applications, Computer vision, Robotics
  111. Florenz Hollebrandse September 2025 Data engineering, MLOps
  112. Irene Donato September 2025 Computer vision, LLM
  113. Itzel Belderbos September 2025 Machine learning
  114. Jaap Stefels September 2025 Machine learning
  115. Judith Redi September 2025 Generative AI
  116. Maarten de Ruiter September 2025 Data engineering, Generative AI, LLM
  117. Marten koopmans September 2025 LLM
  118. Niels Neerhoff September 2025 Data engineering, LLM
  119. Ninghang Hu September 2025 Generative AI
  120. Omar Hommos September 2025 Generative AI
  121. Paul verhaar September 2025 LLM
  122. Rik Nuijten September 2025 AI industry applications, Computer vision, Robotics
  123. Sayak Paul September 2025 AI infrastructure, Computer vision, Generative AI
  124. Simon Brugman September 2025 Data engineering, LLM
  125. Sven Arends September 2025 Computer vision, Generative AI, LLM
  126. Aarti Jha September 2025 LLM
  127. Dana Arsovska September 2025 AI product, LLM
  128. Lenar Sharipov September 2025 AI product, LLM
  129. Mahima Arora September 2025 LLM
  130. Marc Duiker September 2025 AI product, LLM
  131. Panos Alexopoulos September 2025 LLM, Responsible AI
  132. Panos Vagenas September 2025 Computer vision, LLM
  133. Shourya Sharma September 2025 LLM
  134. Tomek Roszczynialski September 2025 AI industry applications, Generative AI
  135. Yaroslav Sokolov September 2025 AI product, LLM
  136. Ali Niknam June 2025 AI industry applications
  137. Daniel Gebler June 2025 AI industry applications, Data engineering
  138. Jeroen van Glabbeek June 2025 AI industry applications
  139. Jyoti Hirani-Driver June 2025 AI industry applications, AI policy
  140. Lucien Engelen June 2025 AI industry applications
  141. Vidya Peters June 2025 AI industry applications, AI product

The 4 conferences behind this list

  • PyData Amsterdam 2026 — September 2026, Amsterdam , run by PyData Amsterdam / NumFOCUS. 70 of the speakers on this page came from its agenda.

  • OrangeCon 2026 — June 2026, Amsterdam , run by OrangeCon. 5 of the speakers on this page came from its agenda.

  • PyData Amsterdam 2025 — September 2025, Amsterdam , run by PyData Amsterdam / NumFOCUS. 66 of the speakers on this page came from its agenda.

  • TNW Conference 2025 — June 2025, Amsterdam , run by TNW (Cogneve, Inc.). 6 of the speakers on this page came from its agenda.

PyData Amsterdam 2026

Amsterdam, Netherlands · September 2026 · 70 speakers

OrangeCon 2026

Amsterdam, Netherlands · June 2026 · 5 speakers

PyData Amsterdam 2025

Amsterdam, Netherlands · September 2025 · 66 speakers

  • Iryna Kondrashchenko — Data scientist and co-founder of DataForce Solutions GmbH
    • “Is Prompt Engineering Dead? How Auto-Optimization is Changing the Game”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Oleh Kostromin — Data Scientist focused on Deep Learning and MLOps
    • “Is Prompt Engineering Dead? How Auto-Optimization is Changing the Game”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Gabriele Orlandi — Data Scientist @ xtream
  • Jeroen Janssens — Jeroen Janssens, PhD, is a Senior Developer Relations Engineer at Posit, PBC. His expertise lies in visualizing data, im
  • Thijs Nieuwdorp — Thijs Nieuwdorp is the Lead Data Scientist at Xomnia in Amsterdam. His interest in the interaction between human and com
  • Adam Hill — Adam is the Interim Director of Data Science at ComplyAdvantage, where he leads a brilliant team tackling financial crim
    • “Bridging the Gap: Building Robust, Tool-Integrated LLM Applications with the Model Context Protocol”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Konstantinos Tsoumas — Konstantinos is a data scientist currently working at Mars with over 3,5 years of experience in the Data Science industr
    • “Uncertainty Unleashed: Wrapping Your Predictions in Honesty with Conformal Prediction”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Bauke Brenninkmeijer — I’m an experienced AI engineer, having built ML and AI projects in a variety of industries. After working for several st
    • “Context is King: Evaluating Long Context vs. RAG for Data Grounding”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Hannes Mühleisen — Prof. Dr. Hannes Mühleisen is a creator of the DuckDB database management system and Co-founder and CEO of DuckDB Labs,
  • Javier de la Rúa Martínez — Javier is a Research Engineer at Hopsworks where he actively contributes to advancing the
    • “Composable Pipelines for ML: Automating Feature Engineering with Hopsworks’ Brewer”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Aarti Jha — Aarti Jha is a Senior Data Scientist at Red Hat, where she develops AI-driven solutions to streamline internal processes
    • “Next-Level Retrieval in RAG: Techniques and Tools for Enhanced Performance”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Mahima Arora — Mahima Arora is a Senior Data Scientist on the Data & AI team at Red Hat, specializing in Generative AI applications. Sh
    • “Next-Level Retrieval in RAG: Techniques and Tools for Enhanced Performance”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Yaroslav Sokolov — Yaroslav Sokolov leads the development of the AI Toolkit at JetBrains. He previously worked as a machine learning engine
  • Lenar Sharipov — Lenar Sharipov is a Tech Lead at JetBrains, working on the AI Toolkit team. He builds tools for PyCharm and other IDEs t
  • Shourya Sharma — I like to build smart AI systems that solve smart business problems.
    • “Bridging the Gap: Building Robust, Tool-Integrated LLM Applications with the Model Context Protocol”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Dana Arsovska — Dana is a Platform Engineer at Ahold Delhaize, where she works on the technical and organizational challenges of buildin
  • Marc Duiker — Marc is a Sr Developer Advocate at Diagrid and enjoys sharing knowledge on how to build distributed applications. He's o
  • Panos Vagenas — AI Engineer at IBM Research, leading development efforts at the intersection of Artificial Intelligence, Information Ret
  • Mingxuan Zhao — Mingxuan Zhao
  • Panos Alexopoulos — Panos Alexopoulos is a semantic technologies expert with nearly two decades of experience in knowledge graphs, ontology
    • “Grounding LLMs on Solid Knowledge: Assessing and Improving Knowledge Graph Quality in GraphRAG Applications”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Tomek Roszczynialski — Tomek is a data scientist and machine learning developer with a background in, and a passion for, physics.
  • Sven Arends — Sven Arends is a Senior Machine Learning Engineer at Picnic, where he is currently developing novel LLM applications. Wi
    • “Counting Groceries with Computer Vision: How Picnic Tracks Inventory Automatically”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Maarten de Ruiter — Maarten de Ruiter is a Data Scientist at Xomnia, specializing in developing and deploying GenAI applications, most recen
    • “GenAI governance in practice: patterns, pitfalls & strategies across tools and industries”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Jaap Stefels — Machine Learning Scientist at Adyen
    • “No labels? No problem! - Hunting Fraudsters with Minimal Labels and Maximum ML”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Itzel Belderbos — Machine Learning Scientist at Adyen
    • “No labels? No problem! - Hunting Fraudsters with Minimal Labels and Maximum ML”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Antonino Ingargiola — Antonino Ingargiola is currently Lead AI Architect at Agile Lab where he oversees AI initiatives and projects in large e
  • Irene Donato — Irene Donato is a Data Scientist at Agile Lab with a PhD in Mathematics and a background in Physics. She specializes in
  • Dick Abma — As a physicist, I enjoy solving real-world problems. My analytical approach is based on years of experience in modelling
  • Rik Nuijten — Rik Nuijten is a Data Scientist at Solynta (a hybrid potato breeding company). His expertise lies in geospatial analysis
  • Benjamin Bossan — Machine Learning Engineer at Hugging Face
  • Sayak Paul — Sayak works on diffusion models at Hugging Face. His day-to-day includes training and babysitting diffusion models for i
  • Paul verhaar — With a background in computational linguistics and a strong link to academia, Paul leads our DS & AI team. He focuses on
  • Marten koopmans — After a PhD in computational physics, Marten transitioned from modelling solar cells to evaluating ML systems. He now wo
  • Florenz Hollebrandse — Florenz Hollebrandse is a senior leader in Data & Analytics at ING, one of the largest banks in Europe. In his role he i
    • “Flip the Plan: Fast-Track Your AI/ML Model Integration with a Back-to-Front Implementation Strategy”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Simon Brugman — Simon Brugman is a Lead Data Scientist based in Amsterdam, currently working at ING Wholesale Banking Advanced Analytics
  • Niels Neerhoff — Niels has been a software engineer at ING for over four years, and currently focuses on data products for ESG. Previousl
  • Denis Gaitan — Denis Gaitan is an accomplished IT Specialist with a history in the software industry since 2012. Over the past five yea
  • Agustin Iniguez — Agustin Iniguez is a data scientist with a background in physics. For the past few years, he has been working at Raboban
  • Danica Fine — Danica began her career as a software engineer in data visualization and warehousing with a business intelligence team w
    • “Quiet on Set: Building an On-Air Sign with Open Source Technologies”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Omar Hommos — Engineering Lead at Adyen
    • “Leading through the GenAI hype cycle: the good, the bad, and the ugly”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Judith Redi — CTO at Creative Fabrica
    • “Leading through the GenAI hype cycle: the good, the bad, and the ugly”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Ninghang Hu — Director of AI & Ad Tech at Tencent
    • “Leading through the GenAI hype cycle: the good, the bad, and the ugly”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Judith Dijk — Judith Dijk has more than 25 years of experience in the field of Imaging and Artificial Intelligence. The focus of her r
  • Vincent Warmerdam — Vincent is a senior data professional who worked as an engineer, researcher, team lead, and educator in the past. You mi
  • George Chouliaras — Experienced AI practitioner with more than 7 years of experience in building and deploying AI systems. I have a particul
  • Antonio Castelli — Senior Machine Learning Scientist @Booking.com
  • Maria Bader — As a Senior Data Scientist at Mollie, Maria has transitioned from data nerd to AI whisperer. By delivering many AI solut
  • Iva Gornishka — Iva is a data scientist at the City of Amsterdam, where she researches the responsible use of AI for municipal use cases
  • Laurens Samson — Laurens Samson leads a development team at the City of Amsterdam that guides the implementation of LLMs across municipal
  • Manu Joseph — Manu S.Joseph is a Software Engineer at Hopsworks, where he works on advancing the Hopsworks AI LakeHouse. He did his Ma
  • Fabio Lipreri — I am a Data Scientist with a computer science background. I love solving hard problems using math, statistics and machin
  • Evertjan Peer — Evertjan Peer is a Tech Lead at KickstartAI, where he focuses on delivering business impact through accelerating AI adop
  • Vitalie Spinu — As a machine learning scientist at Adyen, my current focus lies in the development of models and explainability tooling
    • “Optimal Observability: Partitioning Data into Time-Series for Enhanced Anomaly Detection and Improved Monitoring Coverage”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Muhammad Chenariyan Nakhaee — I am an AI specialist at Exact, where I work with Python during the day. In my spare time, I explore my true passion for
  • Raphael Mitsch — I'm a machine learning engineer, these days mostly working in natural language processing. I have soft spots for data vi
  • Arda Kaygan — Arda is a data scientist, comedy enthusiast, and a self-proclaimed comfort-zone escaper. Originally from Turkey, he grad
  • Shimanto Rahman — Hi, I am Shimanto Rahman a PhD student at Ghent University. In my PhD I specialize in measuring machine learning models
    • “Optimize the Right Thing: Cost-Sensitive Classification in Practice”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Vitalii Zhebrakovskyi — Vitalii Zhebrakovskyi is Senior Software Engineer at Adyen working in fraud prevention and MLOps fields. He's the major
    • “Declarative Feature Engineering: Bridging Spark and Flink with a Unified DSL”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Miguel Leite — I’m an ML Scientist fighting fraud at Adyen. I also help implementing software engineering best practices in ML projects
    • “Declarative Feature Engineering: Bridging Spark and Flink with a Unified DSL”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Dima Baranetskyi — Dima Baranetskyi is a Technical Lead and Senior Data Engineering Consultant with a background in software and data engin
  • Inge van den Ende — At Dexter Energy, Inge, a data scientist, is developing machine learning-powered products for short-term power trading o
    • “Kickstart Your Probabilistic Forecasting with Level Set and Quantile Regression Forests”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Oscar Ligthart — I am a technical lead within the data platform team at Vinted, building tooling to empower our users to create data prod
    • “Orchestrating success: How Vinted standardizes large-scale, decentralized data pipelines”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Rodrigo Loredo — With over 8 years of experience working with data, I've explored various roles. Currently, I work as a Lead Analytics En
    • “Orchestrating success: How Vinted standardizes large-scale, decentralized data pipelines”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Gergely Daroczi — Gergely Daroczi, PhD, is a passionate R/Python user and package developer for two decades. With over 15 years in the ind
  • Pablo Estevez — Pablo Estevez leads Data and Machine Learning in Eneco’s Energy Trading teams. For more than ten years he has worked acr
    • “Data that Keeps Our Energy in Balance - From churn prediction with deep learning to real-time trading systems”·PyData Amsterdam 2025·source · cfp.pydata.org
  • Manolis Manousogiannis — Manolis Manousogiannis is a Senior Data Engineer in Eneco's Energy Trading team, specializing in distributed data proces
    • “Data that Keeps Our Energy in Balance - From churn prediction with deep learning to real-time trading systems”·PyData Amsterdam 2025·source · cfp.pydata.org

TNW Conference 2025

Amsterdam, Netherlands · June 2025 · 6 speakers

What this list does not tell you

  • Where anyone is based. Amsterdam is the city of the event, never of the person. We hold no address, and nobody here is being described as local.
  • How to reach them. No contact details are held. The agenda link is the route.
  • Everyone who qualifies. This is a seed, not a census: absence is not evidence that someone has not spoken in Amsterdam.
  • Anything about talks still to come. Only past, published sessions are recorded — there is no upcoming schedule here.

Questions about booking a speaker in Amsterdam

How many AI speakers have spoken in Amsterdam?
141, across 4 conferences we hold agendas for. That is the number with a checkable record, not an estimate, and it grows when we index another Amsterdam conference, not when more people sign up.
Which conferences do they come from?
PyData Amsterdam 2026, OrangeCon 2026, PyData Amsterdam 2025, TNW Conference 2025. Each one links to its own page, and from there to the conference's published agenda.
How do you know they actually spoke?
Because the conference published it. 142 of the 147 talk records on this page carry the session title exactly as the agenda printed it; the other 5 come from events that list speakers without per-session titles, and those are shown as our own label rather than dressed up as a published one. Nobody self-reported and nobody paid to be here.
Are these speakers based in Amsterdam?
Not necessarily, and we do not claim it. The city belongs to the event, not the person. This page answers who has taken a stage in Amsterdam, which is the question that matters when you are booking one there.
What do they speak about?
Most represented on this page: LLM, Machine learning, Data engineering, Generative AI, AI industry applications, MLOps. Topics come from the talks themselves, not from a profile someone filled in.
Are these international keynote speakers?
Yes. The speakers listed here took keynote and practitioner stages at major international technology and AI conferences in Amsterdam (PyData Amsterdam 2026, OrangeCon 2026, PyData Amsterdam 2025, TNW Conference 2025). Each listing proves their stage appearance with a direct link to the published conference agenda.
Can I get their contact details or fee?
No. We hold neither. Every entry links to the agenda page it came from, and that link is the route. It is also the honest limit of what a directory built from public agendas can tell you.

Hiring a speaker in Amsterdam?

All 141 took a stage in Amsterdam, and every line carries the agenda link that proves it. Leave your email and we'll open your seat with the next ten — free, no card. Signing up here tells us Amsterdam is where people are hiring, and that is how we pick the next city to index.

What they spoke about:

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