VDSG
  • Home
  • Events
  • Impact
  • Initiatives
  • Membership
  • Contact
  • Become a member
Become a member
ESC

Trending Searches

Searching...

No results found

↑↓ Navigate ↵ Select
Powered by Hugo Blox
  • Impressum
  • Contact
    • Message sent
  • Initiatives
  • Latest News
    • Ukrainian Refugees in Vienna
    • uni software plus GmbH
    • Gradient0
    • Women in Data Science 2020: Revisited
    • blazing-fast data science on GPUs
    • reproducible geospatial visualization in kepler.gl
    • Geospatial binning with hexagons on spark
  • Membership
  • Publications
    • The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics
    • Handbuch Data Science: Mit Datenanalyse und Machine Learning Wert aus Daten generieren
  • Recent & Upcoming Events
    • The Psychology of Data Transformations & Optimizing Multimodal AI Pipelines
    • VDSG meets WiAI Austria: Building AI-Ready Data in Insurance & Healthcare
    • Powering the Grid: Data Science in Energy Storage and Trading
    • VDSG x CEU - 2nd Vienna Data Analytics Jamboree
    • AI in Action: AI Knowledge Graphs & AI Energy Trading
    • News from the AI Factory Austria and Responsible Innovation with Synthetic Data
    • 3D Scene Rendering with ML and Automating Agentic Workflows
    • Summer beer
    • Knowledge Based Systems and MCP
    • Machine Learning and AI in Life Sciences
    • Bayesian modelling and LLM endpoint magic
    • AI-Powered Innovation: Breaking Barriers in Communication & Travel
    • Hackathon: Whatt’s up? Hacking for Energy Efficiency
    • The Vienna Scientific Cluster and the path to AI Sovereignty
    • Data Analytics in Business Jamboree with Meta, Red Bull, Chess.com & more
    • GenAI and unlocking opportunities
    • Multi LLM Strategies and LLM based Low-Code Development
    • Knowledge Graphs in GenAI and Visualization techniques @ TU Wien
    • VDSG Summer Drinks 2024
    • AI Governance and Test-driven LLM Productionalization @ Iteratec
    • LLM Deep dive: Part 2 + Apache Spark @ Cloudflight
    • Joint Event with R-Ladies - GOLEM 3 Hours Workshop at the TU
    • LLM Deep Dive: Part 1
    • LLM Deep dive: Part 1 @ Magenta Telekom
    • Data Stammtisch @ Wieden Bräu - 18.03. 18:30
    • Story Telling for Data Science and Shiny R Dashboards in Production
    • Data Science Cafe
    • GenAI's effect on your future + How to Make Models Fair
    • VDSG Knowledgefeed - Natural Language Understanding and Feature Engineering
    • VDSG Summer Drinks II
    • VDSG Summer Drinks
    • Predictive Analytics Conference 2023
    • Quantum Computing in Data Science
    • Data Science Cafe - April 2023 - Focus on Employability
    • VDSG Knowledgefeed – ChatGPT and legal challenges in autonomous driving
    • Data Science Cafe - February 2023
    • VDSG Knowledgefeed - reduce injuries in football (EY) and MLOps (Contextflow)
    • Open Mic - Data Science Cafe - January 2023
    • Data Science Cafe - New edition
    • Finding Waldo with Deep Learning and Data Science for SDGs
    • Finding Valdo with Deep Learning & Reaching UN's Sustainability Goals with DS
    • Data Science Cafe - New edition
    • Data Science Cafe - New edition
    • Data Science Cafe - New edition
    • Time Series Forecasting with Deep learning + How to get a job as a DS
    • VDSG Summer Drinks
    • VDSG Summer Eis
    • Google AI x VDSG @ UNIQA SanusX
    • Data Stammtisch @ DAS CAMPUS - Thu 7pm
    • Quantifying the worth of DS projects & discussing the Modern Data Stack
    • Memorable February - VDSG meets AI Frankfurt
    • Data-Centric AI Practices
    • X-Europe DS: Data-Centric AI Practices
    • Digitizing Construction with AI
    • X-Europe: Digitizing Construction with AI
    • Causal Inference at Lyft
    • Upcoming Blockchain Summit
    • Modeling difficulty of English exercises - probabilistic programming approach
    • Data Excellence Strategy of the city of Vienna - VDSG at CEU
    • X-Europe Webinar #17 - Apache Arrow & Flight on Data Lakes
    • X-Europe Webinar #16 - Machine learning in drug discovery
    • X-Europe Webinar #15 - Data Science for (gender) equality
    • Impact of AI on freedom of expression in political competition
    • X-Europe Webinar #14 What can AI bring to the table in medicine?
    • X-Europe #13 - Make It or Break It, How Product Analytics Helps Build Products
    • X-Europe Webinar #12 - Preserving Wildlife with Computer Vision
    • Get Started with ML in Azure Quantum Computing with Q# - X-Europe Webinars #11
    • Pie & AI: Vienna - Maximizing Inferencing Efficiency with Model Quantization
    • X-Europe Webinar #10 Tools for Explainable Artificial Intelligence
    • Pie & AI: Vienna - Why You Should Start Using AI-generated Fake Data
    • Call for Papers Data Science Summit 2020
    • Gradient Boosting Machines - From Zero to Hero - X-Europe Webinars
    • Pie & AI Vienna – Why You Should Start Using AI-generated Fake Data
    • The Strong ML Hypothesis - X-Europe Webinars
    • X-Europe - Can Telematics Data Identify Risky Drivers?
    • Pie & AI: Vienna - Process Mining in Production, Data Analysis in Machining
    • DSS Elevate Virtual Salon
    • Women in Tech Conference 2020
    • Pie & AI: Vienna - Deep Learning in Algorithmic Trading
    • Pie & AI: Vienna – Deep Learning in Algorithmic Trading
    • Joint Webinar: Deep Self-Supervised Learning for All
    • Joint Webinar: Deep Self-Supervised Learning for All
    • Modelling the spread of SARS-CoV-2 in Austria
    • Multi-State Churn Analysis With a Subscription Product
    • DSS Elevate Virtual Salon
    • DSS Elevate Virtual Salon
    • Modelling the spread of SARS-CoV-2 in Austria
    • Pie & AI: Vienna - Continuous-time recurrent neural networks
    • Pie & AI: Vienna – Continuous-time recurrent neural networks
    • Joint Webinar: Choosing the Right AI Tech Stack
    • Joint Webinar: Choosing the Right AI Tech Stack
    • Joint Webinar: Introduction to Causal Inference For Business Applications
    • Multi-State Churn Analysis With a Subscription Product
    • Managing the Machine Learning Lifecycle - Best Practices for MLOps with MLFlow
    • Managing the Machine Learning Lifecycle – Best Practices for MLOps with MLFlow
    • Joint Webinar: Introduction to Causal Inference For Business Applications
    • Kaggle’s COVID-19 Open Research Dataset Challenge
    • Webinar: Online Kick-off, Expert Walkthrough + Q&A of COVID-19 Kaggle Challenge
    • VDSG Data Science Cafe Vol. XIV
    • Sexy Cloud Infrastructure for Data Scientists & Some Aspects of Blockchain
    • Liability of ML Systems & Data Literacy
    • Knowledgefeed vol. 29: Efficient ML for mobile devices & Segmentation in Surveys
    • Knowledgefeed vol. 30: How to get into Kaggle?
    • Pandas for Movement Data Analysis & NLP for Automated Document Reading
    • Data Science Demo Day in Frankfurt: livestreamed
    • VDSG Data Science Cafe Vol. XIII
    • DS Salon Vol. 3: Social Media – Monitoring Their Impact on Civil Society
    • Pandas for Movement Data Analysis & NLP for Automated Document Reading
    • Big data-Industrial IoT Meet-Up Linz
    • MyData Austria Meetup #3
    • Data Science Alliance Kickoff - Deep Learning & ML
    • VDSG Data Science Café : New volume of the DS Café
    • Knowledgefeed vol. 27: Deep Learning for Predictive Quality & Predictive Maintenance
    • Knowledgefeed vol. 28: (Big) Data (Science) for Security
    • Knowledgefeed vol. 28: (Big) Data (Science) for Security
    • data4good Hackathon
    • VDSG Data Science Café : New Volume of the DS Café
    • Knowledgefeed vol. 26: AI for Smart Cities & Privacy-Preserving Big Data Sharing
    • VDSG Data Science Café Vol. X - We visit Ready2Order.
    • Joint Event: Future of Data + VDSG: Real Time Stream Processing w/ Apache Flink
    • VDSG Data Science Café Vol. IX - We visit TourRadar.
    • VDSG Data Science Café Vol. VIII
    • DS Salon Vol 2: Impact on society with Data with Dr. Claire Melamed
    • VDSG Knowledgefeed vol. 24
    • VDSG Data Science Café Vol. VII and Tech Pills: Open Knowledge Maps
    • VDSG – Knowledgefeed vol. 25: Managing spatio-temporal data using GeoMesa
    • Knowledgefeed vol. 24: using NLP to dissect stereotyping and authoritarianism
    • Joint Event: Semantic Web - VDSG: Data Science solutions using Semantics
    • VDSG Data Science Café Vol. VI @ ImpactHub
    • Data Science Salon Vol. I - GDPR and its impact on Data Science.
    • VDSG Data Science Café Vol. V - We visit WeXelerate!
    • Joint Event: Hadoop User Group Vienna - VDSG: Data Integration Using Apache NiFi
    • VDSG Data Science Café Vol. IV + Practical part: "Learn data science with Beer"
    • VDSG Data Science Café Vol. III
    • Knowledgefeed vol. 23: Deep Learning in 60 Minutes
    • Joint Event: IoT - VDSG: Digital Transformation with IoT and Data Science
    • Knowledgefeed vol. 22: Data Science @ WU, and Team Building for Data Science
    • VDSG Data Science Café Vol. II and Tech Pills: SPARK powered by DataPao
    • Knowledgefeed vol. 21: Budapest, Machine Learning and Apache Spark
    • Joint social event: Data Science Café + Vienna Data Drinks = ❤
    • Knowledgefeed vol. 20: R and Spark
    • VDSG Data Science Café Vol. I
    • Joint social event: Data Science Café + Vienna Data Drinks = ❤
    • Data Science Café Volume 0: Preliminary Social Event
    • Community Event: DataCamp Vienna - Spring Edition
    • Vienna Data Science Group - Knowledgefeed vol. 19
    • Vienna Data Science Group - Knowledgefeed vol. 18
    • Vienna Data Science Group - Knowledgefeed vol. 17
    • Vienna Data Science Group - Knowledgefeed vol. 16
    • Vienna Data Science Group - Knowledgefeed vol. 15
    • Vienna Data Science Group - Knowledgefeed vol. 14
    • Vienna Data Science Group - Knowledgefeed vol. 13
    • Vienna Data Science Group - Knowledgefeed vol. 12
    • Vienna Data Science Group - Machine Learning Hackathon
    • Vienna Data Science Group - Monthly meeting

uni software plus GmbH

Feb 15, 2021 · 1 min read
post

We are happy to announce that uni software plus GmbH continues to support us as a sponsor.

Check out their website for more information.

Last updated on Jun 24, 2026
Authors
吳健雄 (she/her)
Professor of Artificial Intelligence
My research interests include distributed robotics, mobile computing and programmable matter.
← Ukrainian Refugees in Vienna Apr 6, 2022
Gradient0 Jan 26, 2021 →
Footer
Vienna Data Science Group Vienna Data Science Group

Data science community, events, and impact in Vienna.

Community

  • Events
  • Membership
  • Contact

Work

  • Initiatives
  • Publications
  • News

External

  • Meetup
  • GitHub

Legal

  • Impressum

© 2026 Vienna Data Science Group.

Made with Hugo Blox — Open Source. Build yours →