Johannes Vizethum

Owner - Member of the Advisory Board, Advisory Allies - Anshu Capital Manag. - IS Predict

Johannes Vizethum

Speaker Bio


Being a skilled senior professional Johannes has been with the leading global players in IT SW/HW like DEC Corp., BT Global and Nokia Corp. for more than 25 years.  In an Analyst and Technology Management role, Johannes is focusing on designing use and business cases for Digitization and related services  in various industries in western as well as in emerging markets, specifically China. In this context, Johannes is regularly invited as a speaker at knowledge and innovation conferences in China. Johannes has a deep relationship with key industry players and brands in Automotive/Manufacturing, Utilities, Telecom, IT and related R&D and public entities.   Also - with Advisory Allies GbR - collaborating with leading contributors in mobile, enterprise SW, environmental, business intelligence and smart industry/I4.0. As partner of  leading innovation funds forming cooperation with selected  financial western contributors and incubators/accelerators in areas as environmental, energy, big data/analysis and block chain.   Nominated as Mentor and Think Tank Member with   # CASIcloud/China Aerospace, Science and Industry Corp./Germany  # The National Engineering Laboratory of Industrial BigData Application Technology/Pearl River Delta – Professional Committee Guangzhou/HuangPu Industry Association # The Guangzhou Intern. Innovation Festival GIIF # The Fullsing/Haikou International Innovation Demonstration  Zone/Hainan # European American Chamber of Commerce/Bruessels-Beijing-Guangzhou



Being responsible for designing leading Tech Cooperation-initiatives based on close relationship and contractual commitments as Advisory Board Member/Consultant with Spin Offs of European R&D entities as the German Research Institute of Artificial Intelligence/DFKI, Fraunhofer Institute and selected universities to spearhead new application-areas for AI and Cognitive AR/VR - focusing on relevant use cases as Predictive Intelligence and Energy Efficiency in the context of SmartCity/Mobility/I4.0