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AI and Machine Learning today offer enormous possibilities to personalize content on an individual level and to tailor a product of any kind to very specific needs. But how do you choose the best and most efficient approach from all of these available options to incorporate AI and Machine Learning? What does the journey, especially for tech leads, look like to move from a basic rules-based to a data-driven strategy? What real-life obstacles might you face when transforming your organization for this development and how do you ensure that your Data Science & Analytics team will continue to grow on the chosen path?

Let’s dig deeper into this exciting topic in our Berlin Tech Leads meetup and discuss the challenges and opportunities that come with the rise of AI and Machine Learning!

Here are the experts who will share their insights and experiences:

  • James Ryan (Director of Data Science and & Analytics at Vinted) & Gediminas Zylius (Manager Data Science & Analytics at Vinted)
    topic: Transforming towards an ML-based personalized discovery experience at Vinted

  • Hung Dang (Founder and CEO of Y42)
    topic: Limitations of the Modern Data Stack, and what scalable DataOps should look like instead

  • Ceyhun Derinbogaz (CTO at TextCortex)
    topic: Serving NLG Models At Scale At TextCortex

And we also want to remind you: If you'd like to speak at a future Berlin Tech Leads meetup, feel free to message one of the organizers.

Artificial Intelligence Applications
Engineering Leadership
Data Science
New Technology
Software Development

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