Über uns
Regensburg is full of data science expertise, both in industry and in academia. Our aim is to bring together people who share an interest in this area and offer an environment for networking in an informal setting. We continue to have speakers with a range of backgrounds offering insights into a wide spectrum of data science ranging from enterprise search to music recommendation, from automatic fact-checking to avoiding harms and biases, from generative approaches to automatic question-answering. And that is not even everything. Other topics include large language models, industry use cases of natural language processing and the list goes on and on ... We have speakers from industry (e.g. Bloomberg, Netflix, Amazon, Spotify, Deloitte ...) and universities (CMU, Queen Mary, Essex, Regensburg ...). Want to present? Drop us a message. For more details on the organising team check: https://ai.ur.de/
Kommende Veranstaltungen
1
Unlocking Engagement: AI-Driven Personalization in E-commerce
University of Regensburg, Universitätsstraße 31, Regensburg, BY, DEDear all,
It has been a while since we had our last (local) Meetup. The good news is: the wait is over! Join us for an exciting journey through real-life applications of machine learning, personalization, data science and AI more generally.
Looking forward to seeing you all,
Udo, David & BerndP.S.: Don't forget that we have London Search Week coming up as well later this month. Perhaps we see you there as well?
Speaker:
Ramkumar Ganesan (Senior Data Scientist @ mobile.de)Title:
Unlocking Engagement: AI-Driven Personalization in E-commerceAbstract:
In today's competitive mobile e-commerce landscape, generic user experiences are no longer sufficient. Users increasingly expect platforms to anticipate their needs and deliver hyper-relevant content. This talk moves beyond traditional recommendation engines to explore how we can leverage advanced machine learning models for true dynamic content personalization. We will focus on strategies for providing the right content—whether it's product recommendations, support articles, or tailored guidance—to the user at the precise moment of need. Using a large-scale mobile e-commerce platform as a case study, we will examine how to build a deeper, real-time understanding of user intent from past behavioral activities. We will demonstrate how this holistic approach to personalization not only boosts key metrics but also builds significant user trust and lasting engagement.Bio:
Ramkumar Ganesan is a Senior Data Scientist at mobile.de (eBay Classifieds Group), Germany's largest automotive marketplace, serving over 14 million monthly users. He leads AI and ML initiatives with a focus on enhancing the user experience, including architecting AI-powered conversational assistants and building end-to-end customer journey mapping systems with real-time intent prediction. His work has directly resulted in significant increases in user engagement and personalization accuracy. With over 9 years of experience, Ramkumar is an AI Architect and Machine Learning Leader who has delivered production-grade ML systems across the e-commerce, biotech, fintech, and automotive domains. He holds a Master of Science in Computer Science with a specialization in Artificial Intelligence from TU Kaiserslautern.19 Teilnehmer
Vergangene Veranstaltungen
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