Hubertus Mai is a distinguished leader and expert in Artificial Intelligence (AI) and Machine Learning (ML), with a significant focus on their application in enterprise solutions and process mining. He currently holds a key leadership position at Celonis, a market leader in execution management and process mining technology. With a strong academic background, including a Ph.D. (Dr.-Ing.) in Engineering, Hubertus combines deep theoretical knowledge with practical, impactful industry applications. His work involves guiding teams in the development and deployment of innovative AI-driven products that help organizations optimize their business processes, uncover inefficiencies, and drive operational excellence. He is passionate about translating complex data into actionable insights and leveraging cutting-edge AI techniques to solve real-world business challenges.
Hubertus Mai's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
As Director of AI & Machine Learning at Celonis (and previously Head of AI), Hubertus has been instrumental in shaping the AI strategy and product development, leading teams to build and integrate advanced ML capabilities into the Celonis Execution Management System, significantly enhancing its value proposition.
Earned a doctorate in Engineering, likely with a specialization related to computer science, machine learning, or data analysis, providing a robust foundation for his technical leadership and innovation in AI.
Contributed to the innovation and application of AI and machine learning techniques specifically within the domain of process mining, helping to push the boundaries of what's possible in understanding and improving business processes.
Frequently shares his expertise at industry conferences, webinars, and academic events, contributing to the broader discourse on AI, machine learning, and their practical applications in business.
University of Cambridge - Year 2012
TU Berlin - Year 2012
TU Berlin - Year 2006
Shanghai Tongji University - Year 2009
Linköping University - Year 2007
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