Machine Learning Week Europe

Early Bird pricing expires next Friday!

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.

In this talk, Simon presents a service architecture that promotes seamless collaboration between data science and operations teams. ow.ly/ggPm50TOkJo #mlweek #machinelearning

Muhammad Saad Uddin will outline their approach to integrating tech stacks and chatbot design, highlighting real-world industrial benefits. ow.ly/QWuW50TOkw5 #mlweek #machinelearning

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

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

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

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

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

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

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

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

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

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

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

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

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

Learn about advanced duplicate record detection using GenAI techniques. Join this session by Ian to improve data quality. ow.ly/L0Jy50SRAWX #mlweek #GenAI #NLP

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

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