data4good Hackathon

The First data4good Hackathon!

In collaboration with WeAreDevelopers::Keep-Current and R-Ladies Vienna.

Are you looking to use your skills, knowledge or interest in data for good? Then join us in our first data4good Hackathon, for two days of pure coding & fun while doing something good on the way — Be a part of the change you want to see in the world of data!…

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Knowledgefeed vol. 28: (Big) Data (Science) for Security

Dear Community,

Get ready for our 28th Knowledgefeed featuring security research question that motivated an ambitious data collection and analysis approach.

While a common opinion is that a collection of “big data” only leads to security and privacy problems – and it often does – however the analysis of large amounts of IT systems behavioral data also enables new experimental approaches to improve IT security and protect us from the cesspool of malware that the internet is.…

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Knowledgefeed vol. 27: Deep Learning for Predictive Quality & Predictive Maintenance

Dear Community,


Get ready for our 27th Knowledgefeed featuring characteristics of Industrial AI and how state of the art deep learning methods can be applied to solve complex problems and bring more value to companies.

Talk (duration 60 – 90 mins):
Predictive Maintenance, Predictive Quality & Visual Inspection

By Simon Stiebellehner -Head of AI, craftworks & Daniel Ressi -Data Scientist, craftworks

Artificial Intelligence plays a major role in Industry 4.0 and more industrial companies than ever are starting to utilize their data to gain value and insights.…

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VDSG – Knowledgefeed vol. 26: AI for Smart Cities & Privacy-Preserving Big Data Sharing

 

 

 

Dear Community,

get ready for our 26th Knowledgefeed featuring 2 talks of how data science & AI can advance innovative solutions to our city living and what can be done to protect personal information from illegitimate use.

Talk 1 (duration 45 – 60 mins):
Practical implementation of AI solutions for smart cities

by SK Reddy, Chief Product Officer AI for Hexagon, Silicon Valley.…

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Data Science und maschinelles Lernen mit Wolfram Mathematica

Durch die zunehmende Vernetzung von Alltagsgegenständen (“Internet of Things”) und die Digitalisierung vielfältiger Lebensbereiche (zB “Industrie 4.0”) sind intelligente, selbstlernende Computerprogramme zu einem fixen Bestandteil unseres Lebens geworden.

Unternehmen nutzen maschinelles Lernen zB um Bedürfnisse von Kunden genauer zu erkennen, die Kundenzufriedenheit und Kundenbindung zu verbessern, ihre Effizienz zu steigern und Kosten zu senken.…

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Joint Event: Future of Data + VDSG: Real Time Stream Processing w/ Apache Flink

Apache Flink

After the summer break, the Hadoop User Group is back at the Future of Data Meetup. Vienna Data Science Group enters the season with this joint event before proceeding with its own Knowledgefeed series.

The purpose of this Meetup is (and always was) to bring together the community in the open source, Apache projects and data.…

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