Speakers
Evaldas Kazlauskis
Seasoned data scientist with experience in a wide variety of domains acquired during over a decade of professional work. Currently lead data science work at Vinted.
The more users your platform attracts, the more unwanted attention you'll get from people looking to game your system. While every product is unique, the journey of tackling these bad actors tends to follow similar patterns across companies. In this talk, I'll walk you through the three stages of platform protection that I've witnessed firsthand, and how to level up your safety game using the data you have.
None, the topic is more introductory on how to utilise data & AI in safety
Building effective platform safety isn't a sprint—it's an evolution. Drawing from real-world experience, this session breaks down the three critical phases of safety maturity: from reactive monitoring ("crawl"), to proactive protection ("walk"), to sophisticated, AI-powered prevention ("run"). We'll examine what separates each stage and the exact capabilities needed to advance your safety operations. You'll discover practical approaches to transform your existing data into powerful AI-driven safety tools that shield users from harm while preserving their experience.
Seasoned data scientist with experience in a wide variety of domains acquired during over a decade of professional work. Currently lead data science work at Vinted.