Street Smart AI Berlin meetup #5

Welcome to the Street Smart AI meetup, where AI practitioners share the knowledge of making ML&DS happen for real live applications.
This time, we are meeting offline in a Zalando office, Zalando BHW, Hedwig-Wachenheim-Straße 7, 10243 Berlin.

ATTENTION! To attend the meetup, please:

1. Reserve a spot on Eventbrite with the link:
   https://street-smart-ai-berlin-meetup-5.eventbrite.de.
   Please make sure your first and last name matches your ID.
2. Please bring your ID with you to the event. It is required to enter the building.

When: Tuesday, 30th January, 18-30
Where: Hedwig-Wachenheim-Straße 7, 10243 Berlin, Zalando BHW
Agenda:

• 18:30 – 19:00: Get together
• 19:00 – 19:10: Intro
• 19:10 – 19:40: Ksenia Legostay, Lead Data Scientist, Klarna
  Building Fraud Detection Services for Business
• 19:40 – 20:10: Break and networking
• 20:10 – 20:40: Evgeny Labzin, Applied Science Lead, Zalando
  ML is Like Hunting: Right and Wrong Thinking for Business Impact
• 20:40 – 21:30: Networking

Event moderation - Ilya Boytsov

💥 Building Fraud Detection Services for Business: Key Challenges and Solutions
🔈 Ksenia Legostay, Lead Data Scientist, Klarna
When developing a Fraud Detection Service for businesses, what critical considerations should be taken into account? What challenges must be addressed to avoid impacting vital business indicators negatively?

Ksenia has been involved in Machine Learning for fraud detection both in academia and in an industrial setting. She will share the challenges encountered throughout the full cycle of ML model development for fraud detection within the dynamic landscape of high-paced businesses. This session will lead you from problem definition and data collection to the essential evaluation metrics and the crucial aspects of model monitoring in a live production environment.
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💥 ML is Like Hunting: Right and Wrong Thinking for Business Impact
🔈 Evgeny Labzin, Applied Science Lead, Zalando
When we talk about machine learning, we mainly talk about the technical aspects of it. However, a huge number of ML projects fail not because of technical reasons. Problems often come from the wrong approach to goal selection and project execution.

In his talk, Evgeny will explain how to think about ML projects to make business impact. Based on his ten years of experience, he describes the most common mental pitfalls and charts the path to successful business outcomes.

Looking forward to see you!