# PyData Paris 2024 > 35 verified speakers from this event's public agenda. - Location: Paris, France - Date: 2024-09-25 - Event site: https://pydata.org/paris2024 - Agenda we sourced from: https://pretalx.com/pydata-paris-2024/schedule/ - Organizer: PyData Paris / NumFOCUS ## Verified speakers - [Marco Gorelli](https://speakerstrail.com/speakers/marco-gorelli) — "Polars Plugins: how you (yes, you!) can extend Polars" Source: https://pretalx.com/pydata-paris-2024/talk/HHNHMJ/ - [Olivier Grisel](https://speakerstrail.com/speakers/olivier-grisel) — "Keynote: Handling predictive uncertainty in Machine Learning" Source: https://pretalx.com/pydata-paris-2024/talk/7VYUGP/ - [Nour El Mawass](https://speakerstrail.com/speakers/nour-el-mawass) — "Evaluating the evaluator: RAG eval libraries under the loop" Source: https://pretalx.com/pydata-paris-2024/talk/KLBGJA/ - [Guillaume Lemaitre](https://speakerstrail.com/speakers/guillaume-lemaitre) — "An update on the latest scikit-learn features" Source: https://pretalx.com/pydata-paris-2024/talk/7JJDF8/ - [Luca Baggi](https://speakerstrail.com/speakers/luca-baggi) — "Foundational Models for Time Series Forecasting: are we there yet?" Source: https://pretalx.com/pydata-paris-2024/talk/E7LHZX/ - [Gabriele Orlandi](https://speakerstrail.com/speakers/gabriele-orlandi) — "Foundational Models for Time Series Forecasting: are we there yet?" Source: https://pretalx.com/pydata-paris-2024/talk/E7LHZX/ - [Noé Achache](https://speakerstrail.com/speakers/noe-achache) — "Towards a deeper understanding of retrieval and vector databases" Source: https://pretalx.com/pydata-paris-2024/talk/WHXMTY/ - [Nicolas Guenon des Mesnards](https://speakerstrail.com/speakers/nicolas-guenon-des-mesnards) — "Would you rely on ChatGPT to dial 911? A talk on balancing determinism and probabilism in production machine learning systems" Source: https://pretalx.com/pydata-paris-2024/talk/GT83UH/ - [Patrick Hoefler](https://speakerstrail.com/speakers/patrick-hoefler) — "Building Large Scale ETL Pipelines with Dask" Source: https://pretalx.com/pydata-paris-2024/talk/JVGAEU/ - [Joris Van den Bossche](https://speakerstrail.com/speakers/joris-van-den-bossche) — "The expanding Apache Arrow universe - standardizing and accelerating tabular data access and interchange" Source: https://pretalx.com/pydata-paris-2024/talk/NNWFC3/ - [David Brochart](https://speakerstrail.com/speakers/david-brochart) — "Collaborative editing in Jupyter" Source: https://pretalx.com/pydata-paris-2024/talk/HMMGLA/ - [Maria Knorps](https://speakerstrail.com/speakers/maria-knorps) — "Evaluating the evaluator: RAG eval libraries under the loop" Source: https://pretalx.com/pydata-paris-2024/talk/KLBGJA/ - [Alonso Silva](https://speakerstrail.com/speakers/alonso-silva) — "Enhancing RAG-based apps by constructing and leveraging knowledge graphs with open-weights LLMs" Source: https://pretalx.com/pydata-paris-2024/talk/AZNEHE/ - [Justine BEL-LETOILE](https://speakerstrail.com/speakers/justine-bel-letoile-2) — "Leveraging LLMs to build supervised datasets suitable for smaller models" Source: https://pretalx.com/pydata-paris-2024/talk/TBREDY/ - [Cérès Carton](https://speakerstrail.com/speakers/ceres-carton) — "Leveraging LLMs to build supervised datasets suitable for smaller models" Source: https://pretalx.com/pydata-paris-2024/talk/TBREDY/ - [Serge « sans » Paille](https://speakerstrail.com/speakers/serge-sans-paille) — "xsimd: from xtensor to firefox" Source: https://pretalx.com/pydata-paris-2024/talk/JBUSWA/ - [Sophia Yang](https://speakerstrail.com/speakers/sophia-yang) — "Keynote: Building with Mistral" Source: https://pretalx.com/pydata-paris-2024/talk/U7CM7L/ - [Max Halford](https://speakerstrail.com/speakers/max-halford) — "Unpack business metrics to explain their evolution" Source: https://pretalx.com/pydata-paris-2024/talk/Y9S73X/ - [Kevin Klein](https://speakerstrail.com/speakers/kevin-klein) — "Catering Causal Inference: An Introduction to 'metalearners', a Flexible MetaLearner Library in Python" Source: https://pretalx.com/pydata-paris-2024/talk/LTFWZK/ - [Francesc Martí Escofet](https://speakerstrail.com/speakers/francesc-marti-escofet) — "Catering Causal Inference: An Introduction to 'metalearners', a Flexible MetaLearner Library in Python" Source: https://pretalx.com/pydata-paris-2024/talk/LTFWZK/ - [Louis Lacombe](https://speakerstrail.com/speakers/louis-lacombe) — "Boosting AI Reliability: Uncertainty Quantification with MAPIE" Source: https://pretalx.com/pydata-paris-2024/talk/QQSZCJ/ - [Thibault Cordier](https://speakerstrail.com/speakers/thibault-cordier) — "Boosting AI Reliability: Uncertainty Quantification with MAPIE" Source: https://pretalx.com/pydata-paris-2024/talk/QQSZCJ/ - [Valentin Laurent](https://speakerstrail.com/speakers/valentin-laurent) — "Boosting AI Reliability: Uncertainty Quantification with MAPIE" Source: https://pretalx.com/pydata-paris-2024/talk/QQSZCJ/ - [Andro Sabashvili](https://speakerstrail.com/speakers/andro-sabashvili) — "Adaptive Prediction Intervals" Source: https://pretalx.com/pydata-paris-2024/talk/DKHKHG/ - [Stefanie Senger](https://speakerstrail.com/speakers/stefanie-senger) — "An update on the latest scikit-learn features" Source: https://pretalx.com/pydata-paris-2024/talk/7JJDF8/ - [Franz Kiraly](https://speakerstrail.com/speakers/franz-kiraly) — "sktime - python toolbox for time series: next-generation AI – deep learning and foundation models" Source: https://pretalx.com/pydata-paris-2024/talk/KZ8ZPA/ - [Benedikt Heidrich](https://speakerstrail.com/speakers/benedikt-heidrich) — "sktime - python toolbox for time series: next-generation AI – deep learning and foundation models" Source: https://pretalx.com/pydata-paris-2024/talk/KZ8ZPA/ - [Alyssa Wright](https://speakerstrail.com/speakers/alyssa-wright) — "Open Source Sustainability & Philanthropy: Building Contributor Communities" Source: https://pretalx.com/pydata-paris-2024/talk/YVFJFF/ - [Devpriya Dave](https://speakerstrail.com/speakers/devpriya-dave) — "Open Source Sustainability & Philanthropy: Building Contributor Communities" Source: https://pretalx.com/pydata-paris-2024/talk/YVFJFF/ - [Luis Blanche](https://speakerstrail.com/speakers/luis-blanche) — "Track your code's C02 emissions with Code Carbon" Source: https://pretalx.com/pydata-paris-2024/talk/TK9TKL/ - [Benoît Courty](https://speakerstrail.com/speakers/benoit-courty) — "Track your code's C02 emissions with Code Carbon" Source: https://pretalx.com/pydata-paris-2024/talk/TK9TKL/ - [Pierre Raybaut](https://speakerstrail.com/speakers/pierre-raybaut) — "DataLab: Bridging Scientific and Industrial Worlds for Advanced Signal and Image Processing" Source: https://pretalx.com/pydata-paris-2024/talk/WTDVCC/ - [Guillaume Desforges](https://speakerstrail.com/speakers/guillaume-desforges) — "Processing medical images at scale on the cloud" Source: https://pretalx.com/pydata-paris-2024/talk/QWXJTN/ - [Alix Tiran-Cappello](https://speakerstrail.com/speakers/alix-tiran-cappello) — "MLOps at Renault Group: A Generic Pipeline for Scalable Deployment" Source: https://pretalx.com/pydata-paris-2024/talk/ZREEJS/ - [Alexandre Carton](https://speakerstrail.com/speakers/alexandre-carton) — "MLOps at Renault Group: A Generic Pipeline for Scalable Deployment" Source: https://pretalx.com/pydata-paris-2024/talk/ZREEJS/ JSON: https://speakerstrail.com/api/v1/events/pydata-paris-2024 --- Machine-readable index: [/llms.txt](https://speakerstrail.com/llms.txt) · API spec: [/openapi.json](https://speakerstrail.com/openapi.json) · API docs: [/docs/api](https://speakerstrail.com/docs/api) · Sitemap: [/sitemap-index.xml](https://speakerstrail.com/sitemap-index.xml)