Munich Datageeks November Edition

We are thrilled to announce our next Meetup on November 28th at ProSiebenSat.1.
Format:

• 2 talks (each ca. 40 min incl. discussion)
• Time for networking + food + drinks before, in between and after the presentations
• Talks are held in English
• We will be taking photos and/or film footage at the event. These will be used to share news about our meetups and to publicize upcoming events.

The lineup:

First talk:
Hanna, Violetta, Aleksandar & Nilabhra - How program scheduling is supported with Data & AI

Abstract:
Are Data & AI revolutionizing program scheduling in the entertainment industry? In this talk, ProSiebenSat.1 colleagues will present how a whole department of data experts with various backgrounds (from Data Engineering to Business & Artificial Intelligence) are supporting the business users when it comes to making quick, data-driven decisions. Key topics include the transformation of raw data into actionable insights, the establishment of a unified data lake, and the use of a Data Vault structure for effective data lineage and availability. They will highlight an AI-driven market share prediction tool that supports program planners in optimizing scheduling strategies. By examining the underlying infrastructure and data organization, we demonstrate how we work hand in hand to enhance program performance and viewer engagement.

Bio:
The Data & AI department at ProSiebenSat.1 comprises approximately 60 professionals with diverse expertise, including Data Scientists, Machine Learning Engineers, Data & Cloud Engineers, Business Intelligence Engineers, Architects, and Product Owners. Structured into specialized teams focusing on AI Strategy, Artificial Intelligence, Business Intelligence, and Data Platforms, we are centrally responsible for delivering BI and AI products, as well as managing the Unified Data Lake that serves the entire organization.

Our speaker team consists of Product Owners and Engineers, enabling us to address a wide range of questions from the audience:
Hanna Luise Bäuchle, Associate Product Owner
Violetta Shemis, BI Engineer
Aleksandar Stoimenov, Data Architect
Nilabhra Patra, ML Engineer

Second talk:
Hellmar Becker - Apache Druid - A Fast, Distributed Real-time Analytics Database

Abstract:
Apache Druid was born more than 12 years ago to address the need to query large data sets, combining real time events with historical data.
In this talk, Hellmar will explain the architectural decisions behind the design of Druid. He will show live how Druid connects to a Kafka based event stream and how to set up an entire event analytics pipeline using open source components that are freely available.
Bio:
Hellmar Becker is a sales engineer and developer advocate. He has worked in data analytics for more than 20 years in various pre- and post-sales roles. Hellmar has worked with large customers in the finance, telco and retail industries, and spent several years at Hortonworks, Confluent, and Imply.