MeetUp: Data & Machine Learning Cases

November 8, 2019
That was the DATA meetUp in ZH!

Thank you for all the inspiring discussions and Philipp Drieger for sharing your insights!

You can download the slides from the links in the agenda below.


How do companies like BMW, Zeppelin and Deutsche Bahn leverage data driven and machine learning powered use cases to change their business operations?

Data is changing the way how businesses operate today and in the future. Data is at the core of any digital transformation and Splunk helps you crunching at scale. In this talk you learn about six use cases from companies like Deutsche Bahn, Continental, Zeppelin and BMW.

Philipp Drieger works as Staff Machine Learning Architect at Splunk. Over the last years he accompanied Splunk customers and partners across various industries in their digital journey to realize advanced analytics use cases in cybersecurity, IT operations, IoT and business analytics. Before joining Splunk, Philipp worked as freelance software developer and consultant focussing on high performance 3D graphics and visual computing technologies. In research, he published papers about text mining and semantic network analysis.
Philipp spoke at various industry events and conferences like DATA NATIVES, Berlin 2015 and 2018, Bulletproof Hosting and Botnet Conference, Bonn 2018, Splunk .conf, Orlando 2018, Splunk Partner Technical Symposion, Prague 2018, Hannover Messe, Hannover 2018, Bosch Connected World 2018 and more...



Door Opening & Welcome
"Data and Machine Learning Cases"
Philipp Drieger
"Why Data Crunching and how Do we Do it?"
Martin Gerber
Apéro and Networking

Thanks to our sponsors of the networking Apéro

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