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Episode 11: Breaking Boundaries Between Language and Processes

Episode 11 of the Process Transformers podcast, hosted by SAP SE, titled "Episode 11: Breaking Boundaries Between Language and Processes" was published on September 24, 2024 and runs 32 minutes.

September 24, 2024 ·32m · Process Transformers

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In this captivating episode, our host Lukas Egger invites Henrik Leopold to delve into the revolutionary impact of Language Model Learning (LLMs) on business process management. They explore the intriguing nexus of AI, NLP, and process science, discussing its profound influence on corporate strategy, agility, and the future of academia-industry collaboration. Tune in for insights into the potential of LLMs and NLP to transform everyday business processes and revolutionize decision-making. This conversation is a must-listen for anyone interested in the transformative power of AI in business.Guest: Henrik Leopold  Professor for Data Science | Scientist | Speaker | Expert in Process Mining and NLP-driven Process AutomationHenrik Leopold is a distinguished Full Professor for Data Science at the Kühne Logistics University (KLU) and a senior lecturer at the Hasso Plattner Institute (HPI) at the Digital Engineering Faculty, University of Potsdam. With an impressive academic background, Henrik has held various prestigious positions prior to joining KLU/HPI in 2019. He served as an Assistant Professor at the Vrije Universiteit Amsterdam and WU Vienna, and as a postdoctoral research fellow at the Humboldt University of Berlin. Henrik obtained his PhD degree in Information Systems from the Humboldt University of Berlin, receiving accolades such as the TARGION Dissertation Award 2014 for his outstanding doctoral thesis in the field of Information Management.Henrik’s research revolves around the intersection of information systems and business processes. He focuses on utilizing cutting-edge technologies like artificial intelligence, machine learning, and natural language processing to develop innovative techniques for process mining, process analysis, and process automation. His work has been widely recognized and published in esteemed journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, Decision Support Systems, and Information Systems. Henrik’s expertise in leveraging technology to optimize business processes makes him a highly sought-after authority in the field of data science and process transformation.Host: Lukas N. P. EggerHead of the Innovation Office & Strategic Projects team at SAP SignavioLukas leads a team of experts, steering innovation projects. His approach blends a strong technical understanding with a keen eye for product discovery and digital transformation. Lukas regularly contributes to discussions and panels, sharing his perspectives on AI, the digital zeitgeist, and philosophy. Lukas funded multiple startups, published a humorous philosophy book, and received silver screen quotation for special effects work for an animated movie.If you want to learn more about:Our guest: Henrik Leopold | LinkedIn, Henrik Leopold | Website, Henrik Leopold|TwitterSAP Signavio: https://www.signavio.comIf you have questions or comments: email [email protected] downloads:Download transcript as PDF file

In this captivating episode, our host Lukas Egger invites Henrik Leopold to delve into the revolutionary impact of Language Model Learning (LLMs) on business process management. They explore the intriguing nexus of AI, NLP, and process science, discussing its profound influence on corporate strategy, agility, and the future of academia-industry collaboration. Tune in for insights into the potential of LLMs and NLP to transform everyday business processes and revolutionize decision-making. This conversation is a must-listen for anyone interested in the transformative power of AI in business.


Guest:

Henrik Leopold  

Professor for Data Science | Scientist | Speaker | Expert in Process Mining and NLP-driven Process Automation

Henrik Leopold is a distinguished Full Professor for Data Science at the Kühne Logistics University (KLU) and a senior lecturer at the Hasso Plattner Institute (HPI) at the Digital Engineering Faculty, University of Potsdam. With an impressive academic background, Henrik has held various prestigious positions prior to joining KLU/HPI in 2019. He served as an Assistant Professor at the Vrije Universiteit Amsterdam and WU Vienna, and as a postdoctoral research fellow at the Humboldt University of Berlin. Henrik obtained his PhD degree in Information Systems from the Humboldt University of Berlin, receiving accolades such as the TARGION Dissertation Award 2014 for his outstanding doctoral thesis in the field of Information Management.


Henrik’s research revolves around the intersection of information systems and business processes. He focuses on utilizing cutting-edge technologies like artificial intelligence, machine learning, and natural language processing to develop innovative techniques for process mining, process analysis, and process automation. His work has been widely recognized and published in esteemed journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, Decision Support Systems, and Information Systems. Henrik’s expertise in leveraging technology to optimize business processes makes him a highly sought-after authority in the field of data science and process transformation.


Host:

Lukas N. P. Egger

Head of the Innovation Office & Strategic Projects team at SAP Signavio

Lukas leads a team of experts, steering innovation projects. His approach blends a strong technical understanding with a keen eye for product discovery and digital transformation. Lukas regularly contributes to discussions and panels, sharing his perspectives on AI, the digital zeitgeist, and philosophy. Lukas funded multiple startups, published a humorous philosophy book, and received silver screen quotation for special effects work for an animated movie.


If you want to learn more about:

If you have questions or comments: email [email protected]

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