eccenca
Christian Wartner has a diverse work experience in the field of software development and research. Christian worked as a Software Developer at Eccenca Gmbh from 2015 to 2021, where they focused on Spark, Machine Learning, Datenintegration, and Datenmanagement. Christian also conducted research for Mindset, specifically in Machine Learning for Anomaly Detection in Stream Data. Prior to that, Christian worked as a Researcher for the University of Leipzig and InfAI - Institut für Angewandte Informatik from 2012 to 2015. Christian also has experience as a Developer/Researcher at WDI Lab from 2010 to 2011, where they specialized in Web Monitoring, Data Cleaning, and Web Data Integration.
Christian Wartner has a strong education background in the field of computer science and network computing. Christian obtained a Bachelor of Science degree in Network Computing from TU Bergakademie Freiberg, where they studied from 2002 to 2006. Christian then furthered their education by pursuing a Master of Science degree in Informatik from Leipzig University, where they studied from 2006 to 2009.
In addition to their formal education, Christian Wartner has also obtained certifications in MongoDB for Developers and MongoDB for Administrators. Christian completed the MongoDB for Developers certification at 10gen in December 2012.
eccenca
Smart and cognitive process automation helps organizations cope with lack of efficacy and efficiency or even more frequently sheer availability of sufficient amounts of human operators in white-collar jobs.Current technologies like process-mining help to uncover efficiency and efficacy gaps. Technologies like robotic process automation patch uplocal data or systems integration issues to alleviate the pain. But no current solutions provides a true solution for capturing and digitally scaling human experience, competencies and knowledge that is so instrumental to making processes work.Eccenca has developed its solution “corporate memory” to do just that, capture, digitize and use knowledge, experience and data in a scalable way that has never been seen before.Our solution has proven its efficacy to augment and fully automate white-collar work across multiple domains resulting in license subscriptions from clients across industries such as Automotive, Pharma, Telco, Manufacturing, Electronics, Chemical/Process-Industries and (cyber/national) defence.