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WEBINAR ENDED
· 45 minutes

Digital Twins. What they are, what they can do for you and why only data-driven Digital Twins can do the full job.

Thursday, December 15, 2022 · 11:30 a.m. · Berlin
About This Webinar

Digital Twins can mean a lot of different things to different people. Also, often non-technical marketing folks drop it into their texts as additional buzzwords to sound great.
Then of course there are three types of Digital Twins too which adds to the confusion.
The latest type of digital twins, the 3rd generation of data-driven digital twins, that also use AI, offers possibilities that others earlier version like simulators and scripting platforms cannot.
What these possibilities are will be presented and discussed.

Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter Ralf Haller
EVP Sales & Marketing at NNAISENSE
With over 28 years of managerial experience in product, IT, business development, and marketing, Ralf is responsible for bringing many of the world’s leading big data, AI, and machine learning startups to international conferences in Europe. Having worked for five years as a product manager in Silicon Valley, he directly contributed to the building of the world’s first gigabit and terabit routers. Before that, he spent four years in China during the years in which the country opened up to foreign investment from the West. Ralf holds an MA in electrical engineering and radio frequency technology from the Karlsruhe Institute of Technology (KIT) in Germany and a degree in data engineering from the UCSC.
Webinar hosting presenter Florian Trifterer
Senior Researcher at NNAISENSE
Florian has studied statistics and machine learning at LMU/TU Munich. He has over 15 years of experience in solving complex real-world problems in various domains using Machine Learning. He joined NNAISENSE in 2015 and works as a Senior Researcher, conceptualizing and implementing client solutions in problem settings such as anomaly detection, defect detection, prediction, process modeling, and sequential decision making.
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