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. machinelearningweek.eu Europe Joined August 2012-
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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
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