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Online Event


KI & Data Analytics in Banken und Versicherungen

Venue:

Online

On 28th and 29th April 2021, Adastra will be part of the virtual conference KI & Data Analytics in Banken und Versicherungen as sponsor. In various presentations and talks, industry experts will have the opportunity to gain new insights into the use of Artificial Intelligence in the finance and insurance industry. 

Key topics such as the transformation of the core business with the successful use of AI and a clear data strategy, intelligent Process Automation, use cases for Machine Learning and Deep Learning, and interface optimization with the customer will be covered, among others. The topics will be discussed in presentations, workshops and one-to-one conversations. Adastra will also be giving a presentation. We are looking forward to the event, exciting technical contributions and interesting conversations. 

Presentation "Nachvollziehbarkeit & Compliance im Data Lake"

Thu, 29th April 2021, 09:00 - 09:45 

Markus Salomon and Felix Unverzagt will embed concepts in development and operational processes and address topics including Automation, Metadata, provable Data Lineage, Correctness and Completeness. They will put Machine Learning into this context and give an outlook on future challenges.

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Markus Salomon, Business Development Manager Data Engineering & AI

Markus Salomon is Business Development Manager Data Engineering & AI at Adastra GmbH. He studied mathematics specializing in stochastics and optimization and worked as Data Scientist and Data Engineer in numerous customer projects in the banking and automotive industry.

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Felix Unverzagt, Data Scientist

Felix Unverzagt joined the Adastra GmbH in 2019 as Data Scientist and Data Engineer. After his studies in Computational Engineering specializing in Computer Science, his technical expertise is in Spark and Machine Learning as well as the corresponding programming languages. In his current project, he is mainly working on a framework for the initial storage and preparation of data in a Data Lake.

Quick Facts

Location:  Online

Time:        28th April 2021, 08:30-18:50 

                  29th April 2021, 08:30-17:35 CEST 

For more information, please visit the event website.

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