The application pipeline for the Machine Learning Week Europe (November, Munich) is filling quickly. To give you a sense of the talks’ quality, we have already added two 📈 case studies and two 🤿 deep dives to the preliminary agenda:
📈 Eduardo Sepulveda, ING Belgium: A Factory Approach to Churn Identification in Banking at ING
📈 Dr. Felix Reinhart, Miele X: AI at Miele – From First AI Products to AI at Scale Across the Internet of Things
🤿 Jyoti Yadav, Microsoft: Jailbreaks, Filters and the Limits of Prompt Level Safety
🤿 Prince Tyagi, Statista: From Prompts to Systems: How Agentic AI Patterns Enable Reliable Data Workflows
📅 Agenda: 👉 https://machinelearningweek.eu/agenda-preview/
If you would like your session on the agenda, you have two more weeks to apply to become a speaker for the Machine Learning Week Europe Week:
📢 Call for Speaker: 👉 https://machinelearningweek.eu/call-for-speakers/
If you have any questions or need feedback on your topic proposals, leave a comment for me. 👇 As programme director, I’m happy to help!
Thank you for your many strong session proposals. 💪 It won’t be easy for the Advisory Board and me to choose. 🙏
