Conferences / PyData
PyData Amsterdam 2024
Sep 18–20, 2024 · de Kromhouthal (main event); OBA Oosterdok public library (tutorials), Amsterdam, Netherlands
- Conference
- PyData Data science & ML
- Dates
- Sep 18, 2024 – Sep 20, 2024
- Venue
- de Kromhouthal (main event); OBA Oosterdok public library (tutorials)
- Place
- Amsterdam, Netherlands
- Format
- In person
- Status
- Past
- Attendance
- 800Homepage (snapshot on the eve of the event) "Who is attending? 800+ Attendees, 70+ Speakers"; may be a projection rather than a final headcount.
- Website
- amsterdam.pydata.org
- Recorded
- 4 sponsors · 82 speaker appearances
- Notes
- Only Diamond and Platinum sponsors were legible on the archived homepage (the full "Powered by" logo wall did not render in the archive). Ticket prices not captured. Keynote affiliations from the homepage. Speakers from an archived snapshot of the (offline) self-hosted pretalx schedule export. Speakers: full list from the pretalx schedule export; affiliations parsed from pretalx speaker bios (null where the bio states no clear current employer/institution).
Ticket prices
No ticket prices recorded
Sponsors 4
Title / headline 1
- Adyen · Diamond Sponsors
Platinum 3
- HEINEKEN Company · Platinum Sponsors
- Hopsworks · Platinum Sponsors
- JetBrains · Platinum Sponsors
Speakers and talks 82
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Ines Montani | Explosion | Keynote | Keynote - Applied NLP in the age of Generative AI | — |
| Marzieh Fadaee | Cohere | Keynote | Keynote - The Art of Language: Mastering Multilingual Challenges in LLMs | — |
| Merve Noyan | Hugging Face | Keynote | Keynote - Open-source Multimodal AI in the Wild | — |
| Adam Hill | — | Tutorial | Mastering Data Flow: Empower Your Projects with Prefect's Pipeline Magic | — |
| Alex Shershebnev | Zencoder | Talk | Going Beyond Copilot with AI Agents | — |
| Ana Chaloska | Amsterdam-based | Tutorial | Boost Your LLM: Building LLM Agents with LangChain | — |
| Anastasiia Kulakova | CorrelAid NL | Talk | Data Science for Social Good: Making Impact in Resource-Constrained Environments | — |
| Andrei Stoian | Zama | Talk | Open-source Machine Learning on Encrypted Data | — |
| Ankur Ankan | Radboud University | Talk | Introduction to Causal Inference using pgmpy | — |
| Arda Kaygan | — | Talk | Changing Hats: Techie vs Comic | — |
| Atieno Ouma | — | Talk | Synthetic Data for Localized Solutions | — |
| Barend Linders | — | Talk | From mocking to rocking your tests with testcontainers | — |
| Cheuk Ting Ho | — | Talk | Counting down for CRA - updates and expectations | — |
| Cheuk Ting Ho | — | Tutorial | Writing Python modules in Rust - PyO3 101 | — |
| Chris Frohmaier | University of Southampton | Tutorial | Mastering Data Flow: Empower Your Projects with Prefect's Pipeline Magic | — |
| CorrelAid NL | — | Talk | Data for Social Good | — |
| Danial Senejohnny | — | Talk | Causal Effect Estimation in Practice: Lessons Learned from E-commerce & Banking | — |
| Emiel Declercq | AXI Full Service RStudio Partner | Talk | Show off your python code to even a complete newbie, using shiny for python | — |
| Fabien Vauchelles | — | Tutorial | Master Advanced Web Scraping Techniques in Python | — |
| Farzam Fanitabasi | ING | Talk | Productionizing Generative AI at ING: Navigating Risk, Compliance, and Defense Mechanism | — |
| Felipe Moraes | Booking.com | Tutorial | Uplift Modeling for Marketing Personalization in Practice | — |
| Françoise Provencher | Local Logic | Talk | How to measure a city | — |
| Gautier Chenard | Malt | Tutorial | The Impact of Generative AI on Data Analytics: Panel Discussion | — |
| Gilian Ponte | Rotterdam School of Management | Talk | Private targeting strategies | — |
| Hanna van der Vlis | — | Tutorial | The Impact of Generative AI on Data Analytics: Panel Discussion | — |
| Hans Korving | Deltares | Talk | SHAP beyond the standard graphics: co-design of ML-models in earth sciences | — |
| Hugo Manuel Proenca | Booking.com | Tutorial | Uplift Modeling for Marketing Personalization in Practice | — |
| Jakub Tomaszewski | HEINEKEN Company | Talk | From Predictions to Action: Fusing Machine Learning and Mixed Integer Linear Programming | — |
| James Powell | Don't Use This Code | Talk | How Dimensional is a `pandas.DataFrame`, anyway? | — |
| Javier | Hopsworks | Talk | Build a personalized Commute virtual assistant in Python with Hopsworks and LLM Function Calling | — |
| Jeroen Janssens | — | Talk | How I hacked UMAP and won at a plotting contest | — |
| Juan Orduz | — | Talk | Time Series forecasting with NumPyro | — |
| Laura Israel | Adyen | Talk | Je ne regrette rien - Teaching Machine Learning Models Regret Avoidance | — |
| Laura Summers | Pydantic | Tutorial | Sweet Summer Child Score | — |
| Louis Lacombe | Erasmus School of Economics | Talk | Boosting AI Reliability: Uncertainty Quantification with MAPIE | — |
| Maarten Sukel | University of Amsterdam | Talk | Jounai.nl: Playing with New Tech to Reinvent the News | — |
| Magdalena Kowalczuk | — | Talk | Open Source Sprint: Narwhals | — |
| Magdalena Kowalczuk | — | Talk | Alice in the Open Source Land | — |
| Mahmoud Yassin | ABN AMRO | Tutorial | The Impact of Generative AI on Data Analytics: Panel Discussion | — |
| Maico Timmerman | Adyen | Talk | From Data Pipelines to a Data Platform: Embracing Monorepo Architecture | — |
| Marc Palyart | Malt | Talk | Retrieve me if you can: SLM-powered retrieval to scale freelancers matching at Malt | — |
| Marco Gorelli | Quansight | Talk | Understanding Polars Expressions when you're used to pandas | — |
| Marco Gorelli | Quansight | Talk | Open Source Sprint: Narwhals | — |
| Marco Gorelli | Quansight | Tutorial | How you (yes, you!) can write a Polars Plugin | — |
| Maria Bader, PhD | — | Tutorial | Boost Your LLM: Building LLM Agents with LangChain | — |
| Martin O'Hanlon | — | Talk | GenAI Beyond Chat with RAG, Knowledge Graphs and Python | — |
| Martin Trautmann | KIT | Talk | pydiverse pipedag - A library for data pipeline orchestration optimizing high development iteration speed | — |
| Matteo Romeo | Booking.com | Tutorial | Uplift Modeling for Marketing Personalization in Practice | — |
| Matthieu Caneill | — | Talk | dbt-score: a linter for your dbt model metadata | — |
| Mehrzad Karami | — | Talk | Data Science for Social Good: Making Impact in Resource-Constrained Environments | — |
| Mike Kraus | — | Talk | Polishing Python: Preventing Performance Corrosion with Rust | — |
| Mojtaba Farmanbar | KNAB | Talk | Uncertainty quantification: How much can you trust your machine learning model? | — |
| Myrthe Lammerse | Digital Power | Tutorial | Prompt hacking for Generative AI | — |
| Narendra Mukherjee | Booking.com | Talk | From language to marketing: RNNs for data-driven multi-touch attribution at Booking.com | — |
| Narmin Gulmammadova | Booking.com | Talk | From language to marketing: RNNs for data-driven multi-touch attribution at Booking.com | — |
| Natasha Govender-Ropert | ING | Talk | AI: Ethical & Responsible by Design | — |
| Niek Bouman | Roseman Labs | Talk | Roseman Labs - Python-powered encrypted AI | — |
| Philip Blair | — | Talk | Who's Who and Where's What: Dealing With Names and Addresses Around the World | — |
| Raphael Tamaki | — | Talk | Almost Perfect: A Benchmark on Algorithms for Quasi-Experiments | — |
| Richie Lee | — | Talk | LLM Security 101 - An Introduction to AI Red Teaming | — |
| Ritchie Vink | — | Talk | Polars 1.0 and beyond | — |
| Rob Romijnders | University of Amsterdam | Talk | Differential Privacy Made Practical | — |
| Rodel van Rooijen | Achmea | Talk | Building a Data Platform from scratch | — |
| Sander Land | Cohere | Talk | Terrible tokenizer troubles in large language models | — |
| Sander van Dorsten | Schiphol | Tutorial | Prompt hacking for Generative AI | — |
| Sandro Bauer | — | Talk | The Odyssey of Hacking LLMs: Insights from Two Shipmates sailing in the LLM CTF @ SaTML 2024 | — |
| Sarah Diot-Girard | — | Talk | Debugging as an experimental science | — |
| Stanley van de Meent | HEINEKEN Company | Talk | From Predictions to Action: Fusing Machine Learning and Mixed Integer Linear Programming | — |
| Stephan De Goede | Rabobank | Tutorial | The Impact of Generative AI on Data Analytics: Panel Discussion | — |
| Thibault Cordier | Capgemini | Talk | Boosting AI Reliability: Uncertainty Quantification with MAPIE | — |
| Thomas Crul | — | Talk | Algorithmic bias is everywhere (especially at Breeze) - what can we do about it? | — |
| Thomas Fraunholz | — | Talk | The Odyssey of Hacking LLMs: Insights from Two Shipmates sailing in the LLM CTF @ SaTML 2024 | — |
| Thomas Papadimos | ASML | Tutorial | The Impact of Generative AI on Data Analytics: Panel Discussion | — |
| Thomas Wouters | — | Talk | Show off your python code to even a complete newbie, using shiny for python | — |
| Valerio Ciotti | ABN AMRO | Talk | Hunting unicorns with Network analysis | — |
| Vasiliy Kaminskiy | JetBrains | Talk | How Research Teams Can Deliver Higher-Quality Insights Faster | — |
| Vincent D. Warmerdam | — | Talk | Run a benchmark they said. It will be fun they said. | — |
| Vitalie Spinu | Adyen | Talk | Drift Detection on Irregular Time Series with Multiple Non-Uniform Seasonal Patterns Using MIST and DTW algorithms | — |
| Vladimir Grevtsev | — | Tutorial | The Impact of Generative AI on Data Analytics: Panel Discussion | — |
| Warren Jouanneau | Malt | Talk | Retrieve me if you can: SLM-powered retrieval to scale freelancers matching at Malt | — |
| Wojtek Kuberski | NannyML | Talk | The ML Monitoring Flow for Models Deployed to Production | — |
| Zeynab Rashidpour | — | Talk | Productionizing Generative AI at ING: Navigating Risk, Compliance, and Defense Mechanism | — |