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DataScience and AI: in person in Mannheim and live on PyData.TV on YouTube

Agenda 18:00 Doors open 18:30 Welcome 18:45 Going beyond Parquet's default settings – be surprised what you can get - Uwe Korn (QuantCo) 19:15 Break: Networking with snacks and beverages 20:15 Profiling and Optimising Model Prediction Services -Paolo Rechia (Schwarz IT) 20:45 Lightning Talks 21:00 Networking with snacks and beverages 21:30 End

Lightning Talks Join us by contributing a five-minute lightning talk! Fill out this form.

How to sign up for on site It's important for us to make this meet up happen in a responsible way. We have limited seats available only. No limits to sign up remotely!

How to join remotely Join the live stream on YouTube.

This event will be in English. ---- Talk #1 Uwe L. Korn (QuantCo) Going beyond Parquet's default settings – be surprised what you can get Apache Parquet has become the de facto format for storing tabular (DataFrame) data on disk. This is done through universal compression and efficient knowledge of the stored data structure. As part of this talk, we would like to show the core structure of Parquet and the knobs that allow you to get even more of the capabilities of the file format.

Uwe Korn is a CTO at the data science company QuantCo. His expertise is in building scalable architectures for machine learning services and the teams & culture around them. Nowadays, he focuses on the data engineering infrastructure that is needed to provide the building blocks to bring machine learning models into production. As part of his work to provide an efficient data interchange, he became a core committer to the Apache Parquet, Apache Arrow and conda-forge projects.

Talk #2 Profiling and Optimising Model Prediction Services Paolo Rechia (Schwarz IT) Over the past year, Paolo had the opportunity to address performance issues several times, especially in scenarios involving real-time model predictions. Interestingly, in both instances, he found that the slow down was not due to the model prediction itself, but rather steps that occurred beforehand. He is eager to share the step-by-step investigation process he followed and how he successfully resolved these issues.

Paolo is a AI Product Engineer / Data Engineer at Schwarz IT. Paolo has a deep passion for computer programming and is always eager to learn new technologies and ideas. His primary interests lie in algorithms, software engineering, and machine learning.

---- Lightning Talks: 1. Jakob Miksch - Handling Geodata with GDAL/OGR 2. Benedikt Prisett - Prompt Injections 3. Simon Pressler - Paying in Forward: Trust in Communities

Acknowledgements Also a big thank you to our sponsors:

  • SNOCKS, for hosting the meetup.
  • PIONEERS HUB, for organising.
  • NUMFOCUS, for promoting open source software.

Contact If you have any questions or suggestions, please feel free to contact us via:

PyData Mannheim 🧦 🀯 Elevating Parquet πŸš€|🌟 Enhancing Predictive Models πŸ€–

🚨 πŸ‘‰ NEW DATE 6 FEB πŸ‘ˆπŸš¨ πŸŽ‰ We are thrilled to announce that PyData SΓΌdwest is hosting its first-ever meetup at Innovation Park Artificial Intelligence (IPAI) in Heilbronn! πŸŽ‰

Agenda 18:00 Doors open 18:30 Welcome - Alexander CS Hendorf 18:45 Transform Your Business: A Roadmap to Being Data-Driven with Data Ops - Simon Pressler 19:15 Data Versioning with LakeFS and LakeFS-Spec - Max Mynter & Jan Willem Kleinrouweler 19:45 🍻 πŸ• πŸ•ΈοΈ Break: Networking with snacks and beverages 20:30 My Data Stays Here! Implementing AI Assistants in a Data-Saving Way - Hans-Peter Zorn 21:00 Networking with snacks and beverages 21:30 End

Lightning Talks ⚑️😬 No LTs this time!

How to sign up for on site It's important for us to make this meet up happen in a responsible way. We have limited seats available only. No limits to sign up remotely!

How to join remotely Join the live stream on YouTube.

The event is in English. This event was moved from 24 Jan due to the train strike. ---- Talk #1 πŸ“ˆπŸ›βž‘πŸ¦‹πŸš€ Transform Your Business: A Roadmap to Being Data-Driven with Data Ops" Simon Pressler (KΓΆnigsweg AI) Many organizations ask themselves: do we have a data treasure? - how can we find out and how do we start? In the current data-centric business environment, this question becomes increasingly relevant. Drawing from extensive experience in the field, this talk addresses those who are enthusiastic about data yet may find themselves at the outset of their journey, or uncertain about navigating their path to success. DataOps, an interdisciplinary field seamlessly integrates data analysis, software development, and system operations. This session aims to provide clarity and direction for unlocking the potential of your data assets, marking the beginning of a transformative expedition into effective data utilization.

Simon is a Data Scientist holds a Master's Degree in Comparative and International Studies from ETH-ZΓΌrich and a Master's in Data Science from the University of Mannheim. Outside of his professional life, Simon is passionate about long-distance hiking, a pursuit that showcases his dedication and resilience

Talk #2 βš™οΈπŸ“ˆ Data Versioning with LakeFS and LakeFS-Spec Max Mynter & Jan Willem Kleinrouweler (appliedAI Institute for Europe) Data versioning, essential for reproducible Machine Learning, involves maintaining and accessing various versions of data sets over time. This talk highlights LakeFS, a tool enabling Git-like versioning in data lakes, and LakeFS-Spec, a Python library developed by appliedAI Institute for Europe. LakeFS-Spec, compatible with FSSpec-supported packages like Pandas, allows intuitive LakeFS interactions and offers advanced features like client-side caching and direct file system operations.

Max is an MLOps engineer at appliedAI Institute for Europe. He has a background in Physics and Social Sciences, spent some time as a visiting scholar at UC Berkeley’s School of Information, and had previous stints as a Data Scientist at an energy-tech start-up and at Allianz Global Investors as a Quantitative Risk Analyst. Jan Willem is the Head of ML Engineering at appliedAI Institute for Europe. He received his PhD in Computer Science from the VU University Amsterdam. Before joining appliedAI, he worked as applied researcher and portfolio manager in the fields of media delivery, mobile networks, edge computing, and IoT.

Talk#3 πŸ›‘οΈπŸ€– My Data Stays Here! Implementing AI Assistants in a Data-Saving way Hans-Peter Zorn (inovex) ChatGPT has become an integral part of many people's professional lives. Nevertheless, many companies are reluctant to provide their employees with enterprise chat solutions. In this talk, I will demonstrate various ways in which such a service can be implemented in a data-saving and data protection-compliant manner. Be it through a private endpoint in the Azure Cloud or open source models under your own control.

Hans-Peter works as Head of AI and CTO at inovex to help customers overcome their challenges - sometimes with the help of AI. He studied computational linguistics in Heidelberg and computer science at KIT. He then spent a long time working on speech dialog systems, natural language processing and big data architectures.

A big thank you to our sponsors:

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πŸ›‘οΈπŸ€– AI Assistants & βš™οΈ Data Ops: πŸ“ˆπŸ›βž‘πŸ¦‹πŸš€ PyData Heilbronn #1 @ IPAI πŸš€
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