Tag: Conference

ZHAW Datalab organizes Data Science Event in Silicon Valley

By Kurt Stockinger (ZHAW)

As part of “Zürich meets San Francisco – A Festival Of Two Cities”, the ZHAW Datalab co-organized the event Data Science and Beyond: Technical, Economic and Societal Challenges, which took place at the campus of San José State University (SJSU) – in the heart of Silicon Valley. One interesting fact about SJSU is that it has the highest number of graduates among all US universities that get jobs either at Apple or Cisco.

Continue reading

Artificial Intelligence in Industry and Finance

2nd European COST Conference on Mathematics for Industry in Switzerland
September 7, 2017
Zurich University of Applied Sciences,
Technikumstr. 71, 8400 Winterthur

By Jörg Osterrieder (ZHAW)

Below please find a short recap and an outlook for our next conference on September 6, 2018.

Aim of the conference

The aim of this conference was to bring together European academics, young researchers, students and industrial practitioners to discuss the application of Artificial Intelligence to various practical fields. In a broader context, we wanted to promote «Mathematics for Industry» in Switzerland, as part of the European COST (Cooperation in Science and Technology) Action “Mathematics for Industry”, where members of ZHAW are in the management committee for Switzerland. Continue reading

Conference review of SDS|2017, Kursaal Bern, June 16

by Thilo Stadelmann (ZHAW)

In 2014, ZHAW Datalab started the SDS conference series. It was the year with only one Swiss data scientist identifiable on LinkedIn (at Postfinance…). The year where we talked about “Big Data”, and not “Digitization”. The year where we were unsure if such a thing as a Swiss data science community would exist, and if it actually would come to such an event.

SDS grew from a local workshop to a conference with over 200 participants and international experts as keynote speakers in 2016. This was the year where finally a Swiss-wide network of strong partners form academia and industry emerged to push innovation in data-driven value creation: the Swiss Alliance for Data-Intensive Services (www.data-service-alliance.ch). We as datalabbers have been instrumental in founding this alliance, and then found it to be the perfect partner to take this event to the next level of professionalism.

Continue reading

SDS|2015 Conference Review

The Swiss Data Science community recently met at SDS|2015, the 2nd Swiss Workshop on Data Science. It was a full day event organized by ZHAW Datalab, with inspiring talks, hands-on data expeditions, and an excellent provision of space and atmosphere for fruitful networking. The conference took place on the 12th of June at the premises of ZHAW in Winterthur. It attracted people with a wide range of skills, expertise, and levels from doers to managers, and had very strong support from industry, hence showing the huge potential and scope of the subject.

Review

Jan-Egbert SturmAfter having the workshop kicked-off by the President of ZHAW, Dr. Jean Egbert Sturm, Professor of Microeconomics & Director of KOF Swiss Economic Institute at ETH, gave an insightful keynote talk on The use of ever increasing datasets in Macroeconomic forecasting. He explained to the audience the way to do economic forecasting using simple and standard analytical techniques. It was specifically very interesting for data analytics experts to see such a methodology that successfully uses down-to-earth analytical techniques integrated with in-depth knowledge of Economics. Continue reading

SDS|2014 Review

SDS2014_audience1SDS|2014, the 1st Swiss Workshop on Data Science, took place on the 21st of March, 2014 – and we organized it. You can find an excellent summary of the talks on Frank van Lingen’s blog “ITelligence Insight” (Frank attended the workshop, but is not affiliated with us – so its ought to be a fair review), and the slides are available under the first link above.

So instead of repeating Frank here, I want to do two things: give you some impressions of the day itself, and draw some conclusions:

Continue reading