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Event Date |
Wed Mar 12 CET - Fri Mar 14 CET (in about 2 months)
In your timezone (EST): Tue Mar 11 7:00pm - Thu Mar 13 7:00pm |
Location |
Hotel Palace, Berlin
Budapester Str. 45, 10787 Berlin, Germany |
Region | EMEA |
This summit is bringing together 100+ Decision Makers and Leaders working in the field of Data Science at leading companies in Europe to exchange ideas and present business case studies on Applied AI, ML, and Deep Learning platforms, and MLOps. Join the growing networking event to discuss common industry challenges and learn their possible solutions from the event community. Looking forward to welcoming you in Berlin!
Key Topics:
• Applied AI: From Fraud Detection and Credit Risk Assessment to Defect Classification and Quality Control in Production – What are the Use & Business Cases of Machine Learning in practice?
• Machine Learning Models & Natural Language Processing: Which Use Cases of Neural Networks, Computer Vision, Voice Recognition are applied in practice?
• Training, Testing & Validation: How should datasets be structured and processed in order to develop robust Machine Learning models?
• From Lab to Business Value: How do companies achieve scalability and productivity of Machine Learning projects?
• AI & Machine Learning Security: How can AI & Machine Learning algorithms be secured and threats and vulnerabilities be identified at an early stage?
• AI-driven infrastructure & hardware: What are the technical requirements for the systems and how can the optimal composition of the technology stack be achieved?
• Software Development, Architectures & Tools: What are the advantages and hurdles in selecting suitable tools?
• Customer Journey & Data: How can data integration be optimized across BUs, systems and tools? How do you deal with unstructured and poor quality data in the context of the Customer Journey?
• Data Analytics: How to accelerate data analytics processes?
• Deployment & IT: How to deploy fast through infrastructure as a code
2024 Past Speakers
Patrick Wieber
Senior Director Data Analytics, Gea
Dr. James Black
Senior Director, Insights Engineering, Roche
Sarah Lewandowski
Global Head Of Innovation, Bayers
Dr. Michel Neuhaus
Head Ai, Data & Analytics Center Of Excellence, Ubs
Carolina Pinart
Group Head Of R&d Information Technology, Nestle
Dr. Christian Rockstroh
Lead Data Scientist, Siemens
Dr. Olga Khryapchenkova
Product Manager Ai Voice Assistant, Nio
Dr. Fabian Tinkl-hennighausen
Head Of Value Center Analytics Lab & Ai, Siemens
Benjamin Wolters
Head Of Artificial Intelligence, Rosen
Dr. Florian Johannsen
Head Of Data Science, Freenet