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Machine Learning Week Europe @MLWeekEurope

Join Machine Learning Week Europe (#MLWeek) to hear top practitioners describe the design, deployment and business impact of their #machinelearning projects.

Joined August 2012
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733 Photos and videos
Early Bird pricing expires next Friday!
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Don’t miss your opportunity to join Europe’s most practical machine learning event—at the best possible rate! Until 25 April, you can still get your ticket at a special discounted price. After that, prices go up.
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In this talk, Simon presents a service architecture that promotes seamless collaboration between data science and operations teams. ow.ly/ggPm50TOkJo #mlweek #machinelearning
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Muhammad Saad Uddin will outline their approach to integrating tech stacks and chatbot design, highlighting real-world industrial benefits. ow.ly/QWuW50TOkw5 #mlweek #machinelearning
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Miha addresses the engineering challenges of building interactive active learning systems on a practical example of large-scale video analysis. ow.ly/JaoH50TOkni #mlweek #machinelearning
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Dr. Michele Dallachiesa and Andreas Leed discuss Hong Kong's challenges in managing 500 capital projects using ML models to prevent delays and budget overruns, presenting solutions and guidelines. ow.ly/Iecc50TOkkO #mlweek #machinelearning
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In this talk Maximilian presents xLSTM, a novel architecture for LLMs that scales only linear in context length while still outperforming Transformers on language modeling. ow.ly/HgIF50TOkgo #mlweek #machinelearning
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Miha addresses the engineering challenges of building interactive active learning systems on a practical example of large-scale video analysis. ow.ly/rwi550TJzvj #mlweek #datascience #machinelearning
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If you haven't grabbed your ticket yet, then now is the time. Register before this Friday, 27 September, to secure the Early Bird ticket and save up to €400. 👉 ow.ly/Znli50Tu8SA #mlweek #predictiveanalytics #machinelearning #deeplearning #generativeAI
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Hansel will explain how DaVita used a simpler, interpretable model to reduce hospitalizations in dialysis centers. He’ll discuss balancing model performance with clinical interpretability to gain physician buy-in. ow.ly/J1Ps50TkZZT #mlweek #HealthcareAI
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Ramón will showcase a smart assistant by Campana & Schott and Charité, designed to help healthcare professionals by suggesting treatments from guidelines and patient histories, streamlining complex decisions. ow.ly/jiBW50TkZRM #mlweek #HealthcareInnovation
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Andre demonstrates how data-driven modeling and machine learning improve pharmaceutical manufacturing by enabling real-time testing, optimizing lead times, and predicting product quality. ow.ly/zfNf50TkZBb #mlweek #Healthcare #DataDrivenModelling
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Steffen will showcase how Roche uses AI to classify visible particles in drug products, improve image data processing, and design a user-friendly application that aids data collection for continuous model improvement. ow.ly/gYX950TkZrA #mlweek #Healthcare #AIApplications
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Paolo Ferriani demonstrates how Gothaer used #LLMs to efficiently extract key data from unstructured medical records, emails, and insurance forms, streamlining life insurance risk assessment. ow.ly/oWcb50T7xKV #mlweek #machinelearning
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Hungjen Wang would like to share his experience in how Franklin Templeton designed the architecture of the RAG system and which parts actually matter to its performance. ow.ly/trAh50T7xqI #mlweek #machinelearning
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In this talk, Maximilian presents xLSTM, a novel architecture for LLMs that scales only linear in context length while still outperforming Transformers on language modeling. ow.ly/ujcC50T7uYB #mlweek #machinelearning
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Jack and Julia will reveal how #datastorytelling promotes pharma data products and secures buy-in. Learn narrative shaping and marketing strategies, plus expert tips for your data/AI product. ow.ly/7GUS50SRB20 #mlweek #data #machinelearning
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Learn about advanced duplicate record detection using GenAI techniques. Join this session by Ian to improve data quality. ow.ly/L0Jy50SRAWX #mlweek #GenAI #NLP
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Will Generative AI replace Data Engineers? Join Gaurav, an engineering manager at Spotify, at ML Week Europe to explore this question and the future of data engineering. ow.ly/IqEx50SRAKM #mlweek #GenAI
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Farah Ayadi will share the development of a context-aware conversational agent using #LLMs at Feedly AI, highlighting unique challenges and strategies for delivering accurate, consistent services to external users. ow.ly/iAcZ50SRAvh #mlweek #ConversationalAI
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