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About us

WiMLDS's mission is to support and promote women and gender minorities who are practicing, studying or are interested in the fields of machine learning and data science. We create opportunities for members to engage in technical and professional conversations in a positive, supportive environment by hosting talks by women and gender minority individuals working in data science or machine learning. Events include technical workshops, networking events and hackathons. We are inclusive to anyone who supports our cause regardless of gender identity or technical background.

Our Code of Conduct (https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct) is available online and applies to all our spaces, both online and off.

• Follow us on Twitter: @WiMLDS_Zurich (https://twitter.com/WiMLDS_Zurich) or @wimlds (https://twitter.com/wimlds) for general WiMLDS news.
Visit http://wimlds.org to learn about our chapters in other cities.
Also follow our LinkedIn account: https://www.linkedin.com/company/women-in-machine-learning-data-science-z%C3%BCrich/.

• Women & gender minorities are invited to join the global WiMLDS Slack group by sending an email to slack@wimlds.org.

AI at scale hosted by Zalando

AI at scale hosted by Zalando

Zalando Switzerland, Prime Tower, 23rd Floor, Hardstrasse 201, 8005 Zürich, CH

17:30-18:00

  • Doors open
  • Welcome words by Zalando & WiMLDS

18:00- 18:40
'Deploying AI agents at scale' by Valentina Halasi
Abstract:
You've built AI agents with a framework like CrewAI or LangGraph. They work great locally. Now what?
This talk covers the real infrastructure challenges of deploying multi-agent systems: handling long-running executions, managing stateful workflows, versioning deployments, and debugging complex agent behavior in production. Learn the steps from "works on my laptop" to production-ready, and discover why most teams end up building the same infrastructure stack.
I'll wrap up with a live demo showing how to deploy agents with a single command, stream execution in real-time, manage secrets securely, auto-scale to handle concurrent runs, and version deployments with instant rollbacks, without building the full infrastructure yourself.

18:45-19:30
'AI at scale in practice: Zalando Assistant' by Katya Mirylenka
Abstract:
As artificial intelligence transforms the fashion industry, multimodal AI agents are stepping up to deliver deeply personalized shopping experiences. Using the Zalando Assistant (ZA) as a real-world case study, this talk dives into the practicalities of building and operating these complex systems at scale. We will explore why the e-commerce industry is moving beyond simple chatbots to sophisticated LLM-powered agents and how ZA processes complex user interactions to elevate the customer journey. Finally, we will unpack the behind-the-scenes technical hurdles of large-scale AI, including optimizing search and retrieval under heavy load, refining LLM evaluations, and handling complex product data.

19:30-20:30
Networking & Mingling

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