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Machine Learning in Enterprise Applications: A Perspective from SAP

  • Place:  Au Premier, Zürich
  • Date: 17. October 2018 
  • Time: 6pm - 7pm
  • Language: English

18:00 Introduction & welcome, Dr. Sotiris Dimopoulos, IT Logix
18:10 Machine learning in enterprise applications: example use cases and approaches, Dr. Sean Kask, SAP
19:00 Discussion and apéro

The event is free of charge and will be held in English.
If you cannot make it, please remember to cancel.

Enterprise software vendors are increasingly making applications “intelligent” by embedding machine learning natively in the applications and / or providing platforms for organizations to develop their own custom machine learning use cases. We invite you to see some real-world machine learning use cases ranging from business process automation via traditional transactional data to novel examples using unstructured data, such as computer vision and conversational AI. We will provide demos and touch on deployment and architecture approaches.

Short Bio of the Speaker:
Sean Kask is a Senior Expert in the SAP Leonardo Machine Learning Customer Success team. Sean has a PhD in organizational economics and a background in econometrics. He lives in the Zürich area with his wife and baby son.

- SAP, One of the world’s largest enterprise applications company and Europe’s most valuable technology firm. SAP plays a pivotal role in helping businesses benefit from machine learning.
- IT-Logix, Trusted data advisor for a variety of medium and large companies in Switzerland. IT-Logix uses its knowledge network, agile methods and innovative technologies to help its clients to quickly implement high-quality analytics and data science solutions.

Bei Interesse melden Sie sich bitte über den angegebenen Link an. >Data Science Business Meetup

Für Fragen zu unseren Partnern und / oder rund um die Trainings stehen wir Ihnen gerne zur Verfügung.

Datum: 17.10.2018 Ort: Au Premier, Zürich Zeit: 18:00 - 19:00

Zur Anmeldung

Datum: 17.10.2018 Ort: Au Premier, Zürich Zeit: 18:00 - 19:00

Zur Anmeldung

Sotiris Dimopolous

Senior Consultant Data Science