We want to make Swiss businesses the most data-centric and agile in the world.

For the 10. event we will have a 2h intro workshop on Machine Learning / Deep Learning and application examples.


The tech giants are using deep learning already since 2011:

Google: Google Brain, speech-recognition, there are more than 1,000 projects underway incl. self-driving cars

Microsoft: commercial speech-recognition, search, photo search, translation systems and many more

Facebook: translations, photo search, spoked captions for visually impaired

Baidu: speech recognition, search, photo search, translation, self-driving cars


The goal of this event is to showcase application areas where also Swiss companies can use these technologies for their benefit.



Organized by:


Event Location Last Event

Equinix ZH5

Allmendstrasse 9
8102 Oberengstringen

Program

  • 13:30
    Workshop

    Machine Learning and Natural Language Processing
    Martin Jaggi, Tenure Track Assistant Professor, École polytechnique fédérale de Lausanne
    • Basic Intro to Machine Learning
    • Supervised and Unsupervised Methods
    • Neural Networks
    • Text Understanding and Natural Language Processing
    • Word and Document Embeddings
    • Machine Learning Infrastructure and Systems
    • Distributed ML

    AI – Moving from buzz words to capturing value
    Florian Geier, Engagement Manager, McKinsey & Company

    Artificial intelligence has become one of the hottest topics in every boardroom. However, today we reached a stage, where we can move from talking about buzz words to objective discussions on the performance of actual use cases; their value across industries and what obstacles the first companies needed to overcome to capture it.

    Based on analysis of over 400 proven use cases, we estimate that from the global analytics value potential 9,5 to 15,4 trillion USD across all industries and functions, with 40 % requiring AA (e.g. deep learning) methods to unlock.

    However, really getting all of this value hit the bottom line is the hardest part. Despite a good strategy, sense of value and commitment, we see most companies struggle. There are lessons to be learnt – from productionizing analytics, getting the right people on board over changing the mindset of the frontline, whilst not forgetting about the actual customer and his experience.
  • More Details will be announced shortly.
  • 17:00
    Apéro

Speakers

Martin Jaggi

Martin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory.

His research interests lie in the fields of machine learning, optimization algorithms for learning systems, and text understanding.

Before EPFL, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, US, and at École Polytechnique in Paris, France.

He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.

He is a co-founder of the text analytics startup SpinningBytes, and also the founder of the Zurich Machine Learning and Data Science Meetup.

Florian Geier

Florian Geier kam im Oktober 2013 als Berater zu McKinsey nach München, nachdem er während des Technology Lab 2012 viel Spaß daran hatte, "mit Big Data Leben zu retten". Florian studierte Pharmaceutical Sciences an der Ludwig-Maximilians-Universität München. Danach ging er nach London, um während seines Masterstudiums am Imperial College an Medizingeräten zu basteln. Während seiner anschließenden Promotion entwickelte er chemische und informationstechnische Methoden, um die Lebenserwartung von Modellorganismen anhand von Stoffwechselprodukten vorherzusagen.

Florian berät vor allem an der Schnittstelle zwischen Technologie und Healthcare, Pharma und Medizinprodukten. Zum Beispiel half er einem Land im Mittleren Osten, ein vollständig digitales Überwachungssystem zur schnellen Identifikation und Abwehrkoordination von Infektionskrankheitsausbrüchen aufzubauen.

An McKinsey gefällt ihm, dass er hier komplexe Probleme, die aus verschiedensten Industrien und Themenbereichen stammen, zusammen mit Kollegen unterschiedlichster Fachrichtungen und Klienten lösen kann. Er schätzt es, dass die Lösungen zu echten Veränderungen führen können und dass es hier normal ist, mit "Datenspielereien" das Leben von Millionen Menschen nachhaltig zu verbessern.

Seine Freizeit verbringt Florian gerne mit Sport (Ski, Bergsteigen, Gleitschirm), unterwegs mit Freunden und auf Reisen – gerne auch in Kombination.

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