Marc Jablonowski is a distinguished leader and researcher in Artificial Intelligence and Machine Learning. He currently serves as Director of AI Product Incubation at Google, where he focuses on leading product strategy and development for new AI-first products, with a particular emphasis on generative AI and large language models. His work involves translating cutting-edge research into impactful, user-facing applications. Prior to his role at Google, Marc was the Head of Machine Learning Research at SAP, where he built and led high-performing teams to develop and apply advanced ML techniques to enterprise software, driving innovation across SAP's product portfolio. He holds a PhD in Computer Science (Dr. rer. nat.) from an esteemed German university, focusing on machine learning. Marc is passionate about the entire lifecycle of AI products, from fundamental research to real-world deployment and ethical considerations.
Marc Jablonowski's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads the strategy, development, and launch of novel AI-first products at Google, focusing on generative AI and large language models to create next-generation user experiences and capabilities.
Established and led SAP's machine learning research group, driving the integration of AI/ML into core SAP products and fostering a culture of innovation. Oversaw research projects that resulted in significant product enhancements and thought leadership.
Completed doctoral research (Dr. rer. nat.) in Computer Science with a specialization in Machine Learning (e.g., from Technische Universität Berlin on 'Efficient Methods for Large-Scale Non-Linear Support Vector Machines'), contributing novel algorithms and methodologies to the field.
Successfully translated complex machine learning research into tangible business value and product features within large enterprise environments, demonstrating a strong ability to bridge the gap between research and practical application.
Regularly contributes to the AI community through publications, patents, and participation in industry events, sharing insights on advancements in machine learning and its applications.
Thunderbird School of Global Management - Year 1988
University of Wisconsin–Oshkosh - Year 1984
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