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· 45 minutes

Adoption of Industrial AI in China vs Europe.

Friday, September 16, 2022 · 11:30 a.m. · Berlin
About This Webinar

China had its Sputnik moment (Kai-Fu Lee in China AI Superpower) when DeepMind/Google beat the world champion in Go in a very public TV event. This shocked China and subsequently triggered its own race catching up in AI (see https://cutt.ly/aGtS57b).
Today most – also the highest quality – AI research papers are coming from China.
In Industrial AI, China is investing heavily which helps its already leading high-tech manufacturing industry to stay competitive against now lower-cost countries.
How far China is leading already in the adoption of Industrial AI and how do Europe and the US compare is presented and then 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
Founder and President of Sinovation Ventures
To date, Sinovation Ventures' total asset under management with its dual currency reaches US$2 billion and has invested over 300 portfolios primarily in China.

In his 2018 book AI Superpowers: China, Silicon Valley, and the New World Order, Lee describes how China is rapidly moving forward to become the global leader in AI, and may well surpass the United States, because of China's demographics and its amassing of huge data sets.

Lee developed a speaker-independent, continuous speech recognition system as his Ph.D. thesis at Carnegie Mellon University. He later worked as an executive, first at Apple, then SGI, Microsoft, and Google.
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