AI Meetup Frankfurt // Freezy February
Details
Dear AI Enthusiasts,
just few more hours left until the very first AI Meetup Frankfurt Event in 2023!
We come together at Accso - Accelerated Solutions GmbH, Rahmhofstraße 2, 60313 Frankfurt am Main to listen to awesome AI related talks from great speakers and have an inspiring time. If you cannot make it there you will be able to join by Zoom.
A big thank you especially to David Gran from Accso for welcoming us all as their guests and for taking care of our physical well-being in the evening :)
For all who cannot attend on-site, participating via Zoom will be possible, see Zoom credentials below. Please let us know when you make your reservation if you would like to participate on-site or remote. Many thanks to the AI Lab of Frankfurt School of Finance & Management for providing the Zoom platform.
We have prepared 3 inspiring talks for you and here are the details our speakers and their talks:
- Sebastian Heinze, CEO statworx / AI Hub Frankfurt /. As a CEO and founder Sebastian is quite very occupied to not only develop the business strategy but also focus on developing new products/strengthening existing ones at his AI and data driven service based company statworx. Besides he is also a key person for AI hub Frankfurt, a network of people from small, medium and large organizations that focuses on unfolding the potentials of data & AI in Frankfurt and Rhine-Main area. He will give us a sneak-peek of everything from AI Hub on this evening. So be there to know if you are interested. If you want connect with him then here is his LinkedIn page: https://www.linkedin.com/in/sebastian-heinz/
- Wolfgang Halter, Head of Data Science at Merck Life Science. His team is working on ground breaking problem solving tasks in synthetic biology and medicine. Here is a little gist about his talk:
“Data Science is a diverse field with practitioners coming from various educational backgrounds and industries. This diversity in skills is complemented with different operating modes, with some data scientists taking on a "Rambo" approach of working solo and tackling everything on their own, while others adopt a "Power Ranger" approach of collaboration and teamwork. We discuss how those different profiles and operating modes fit into a big company and what this implies on scaling Data Science solutions.”
So if you are inspired already and want to connect with him then reach out to him via LinkedIn (https://www.linkedin.com/in/whalter/). - Danko Nikolic, Head of AI and Data Science evocenta, will give us precious insights on Guided Transfer Learning. Most of you AI people probably know Danko for years, if not you may visit his profile at https://www.linkedin.com/in/danko-nikolic/
Don't miss the chance and sign in now. stay tuned for more.
The event is free of charge and all talks will be in English.
So, see you soon, on-site and on Zoom.
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Zoom credentials:
https://us02web.zoom.us/j/85002424492?pwd=dEloYWM5dUZrV0wra3dNbnR0Tk82dz09
Meeting-ID: 850 0242 4492
Kenncode: 958826
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Agenda for the meetup:
18:00 – 18:15; Reception
18:15 – 18:20; A welcome note from the organizers
18:20 – 18:30; AI Hub Frankfurt – an introduction by Sebastian Heinz, statworx, Frankfurt
18:30 – 19:00; Wolfgang Halter, Merck, Darmstadt
Title: “Rambo vs Power Ranger: Navigating the Diversity of Data Science”
19:00 – 19:30; Break
19:30 – 20:00; Danko Nikolic, evocenta, Frankfurt
Title: "Guided Transfer Learning"
20:00 – 20:10; Announcements (open positions, demos etc.)
20:10 – Socializing
Location: Hybrid (local location: Accso - Accelerated Solutions GmbH, Rahmhofstraße 2, 60313 Frankfurt am Main + Zoom platform)
Sponsor and Host: Accso
Organizers:
Danko (https://www.linkedin.com/in/danko-nikolic/)
Gautam (https://www.linkedin.com/in/gautam-kumar-pramanik-ph-d-25ba3721/)
Frank (https://www.linkedin.com/in/frank-schaffeld-16879b3/)
Madhu (https://www.linkedin.com/in/madhuvanthi-venkatesh-a1836192/)
The event is free of charge and all talks will be in English.
You want to present something? Contact us by sending messages on this platform!
