Find out how artificial intelligence is revolutionising knowledge management!
In this webinar by the Mittelstand-Digital Zentrum Berlin, the diverse application possibilities of AI are highlighted and how companies can benefit from strategic advantages such as optimised processes and relief of resources.
Challenges of conventional knowledge management will be analysed and a fascinating practical example will be used: In the production of metal components, AI enables the automated finding of similar components, making quotation calculations, production planning and set-up times more efficient.
Immerse yourself in innovative technologies and practical applications!
Panellists
Michael Ludwig (M.Sc.) is an AI trainer at the Mittelstand-Digital Zentrum Saarbrücken. He studied Digital Business Administration at Saarland University and currently works as a Digitalisation Associate at the August-Wilhelm-Scheer-Institute. His research focuses on generative AI and the diverse applications of AI in the office. Sebastian Akinci (M. Sc.) is a digitalisation expert at the Mittelstand-Digital Zentrum Saarbrücken. He completed his studies in Digital Business Administration at Saarland University and is currently working as a Digitalisation Associate at the August-Wilhelm-Scheer-Institute. His academic interests focus on start-ups and innovative approaches to utilising AI for office-related applications.
Juliane Höbel-Müller (M. Sc.) is an AI trainer in the field of artificial intelligence and machine learning at the Mittelstand-Digital Zentrum Magdeburg. She is currently working as a research assistant at the Faculty of Computer Science in the Data and Knowledge Engineering working group at Otto von Guericke University Magdeburg. Her research interests lie in the field of human-machine interaction.
Dr Sergii Kolomiichuk is an AI trainer in the field of artificial intelligence and machine learning at the Mittelstand-Digital Zentrum Magdeburg. Studied the design and reliability of aircraft engines at the National University of Aeronautics and Astronautics, Kharkov, Ukraine. Graduated with a degree in engineering and subsequently worked as a research assistant at the National University from 2005. Since 2008 research associate at the Fraunhofer Institute for Factory Operation and Automation IFF. Successful doctorate in 2018 in the targeted application of machine learning methods to forecast energy requirements.
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