idatase GmbH
Karl-Heinz Fiebig has a diverse range of work experience. Karl-Heinz began their career in 2008 as an Infantry Soldier in the Bundeswehr. In 2014, they worked as a Student Assistant at Technische Universität Darmstadt, where they provided support in various roles related to software engineering, algorithms and data structures, and computational engineering. In 2015, they continued working as a Student Assistant at both Technische Universität Darmstadt and Fraunhofer IGD, focusing on bachelor students traineeship and ambient intelligence & home automation, respectively. Most recently, Karl-Heinz Fiebig has been involved with idatase GmbH since 2016. Karl-Heinz started as a Consultant in machine learning and data analytics and later took on the role of Co-Founder and CINO/CTIO.
Karl-Heinz Fiebig has a Bachelor's degree in Computer Science from Technische Universität Darmstadt, which they obtained in 2017. Prior to that, they attended Carl-Bosch Schule Heidelberg from 2005 to 2008 and studied Information Technology. Alongside their formal education, Karl-Heinz Fiebig has also obtained several certifications, including a certificate in "Learning From Data" from edX in 2014, a certificate in "Intro to Parallel Programming" from Udacity in 2014, a certificate in "Machine Learning" from Coursera in 2012, a certificate in "Programming a Robotic Car" from Udacity in 2012, and a certificate in the "Advanced Track of Introduction to Artificial Intelligence" from ai-class.org in 2011.
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idatase GmbH
Starting as a consultancy for data analytics and machine learning projects focused in the energy sector, idatase began to experienced an increasing gap between human domain experts, data experts and the abilities of data-driven automation. NetLume is our response to bridge those gaps and innovate a new way of collaboration across domains. Weprovide the OS for A.I. in the industry as one shared platform: The domain expert with his superior knowledge to a field gathered through years of work, the data scientist with his expertise in data analytics and automation, as well as the machine itself with increasing capabilities and intelligence.