RTL Data Talk

We invite you to our first Data Meetup - an RTL after-work event - on Thursday, 29 February 2024, from 6 pm in Cologne Deutz. You can expect a varied programme with RTL Data insides, drinks and snacks.

18:00 - 18:30 Arrival / Accreditation and networking with snacks and drinks
18:30 - 18:40 Welcome / Start of the event
18:40 - 19:00 Presentation I: Data Mesh Mindset
19:00 - 19:10 Questions & Discussion about the presentation
19:10 - 19:15 Short Break
19:15 - 19:35 Presentation II: Accelerating Innovation and Value Creation through AI-Driven Transformation
19:35 - 19:45 Questions & Discussion about the presentation
19:45 - 19:50 Short Break
19:50 - 20:10 Presentation III: Building Content Understanding
20:10 - 20:25 Questions & Discussion about the presentation
20:25 - 21:30 Networking with currywurst, vegan gyros, Kölsch & Co.

Our presentations will be held in English. Our colleague Marc Egger (Senior Vice President Data Products & Technology) will host the evening and moderate the Q&A sessions between the presentations.
We look forward to seeing you there. Simply register with your name and e-mail address - and we will be happy to put you on our guest list.

Please note that no registration of headhunters/recruitment agencies is permitted.
Please note that no video recordings are permitted at the event.

Our presentations in detail:

Data Mesh Mindset (Frank Marmann)
At RTL we moved beyond the data lake architecture and implemented the Data Mesh approach. It supports our various data products — from Recommenders for RTL+ to new and innovative A.I. cases. This talk explains our technical approach and the mindset that is necessary for a Data Mesh to succeed.

Accelerating Innovation and Value Creation through AI-Driven Transformation (Sven Ahlers)
Discover RTL Deutschland’s strategy for nurturing and advancing the AI transformation within their organization by consolidating and evaluating their AI initiatives through an interdisciplinary AI Circle. Learn about exciting AI use cases that are shaping the media landscape and contributing to a competitive edge.

Building Content Understanding (Sidharth Ramachandran)
Building data products that analyze and enrich RTL content across multiple modalities like Audio, Video and Text and bring them together to enable end to end content understanding.