CONFERENCE PROGRAM OF 2021
Please note:
On this site, there is only displayed the English speaking sessions of the TDWI München digital. You can find all conference sessions, including the German speaking ones, here.
The times given in the conference program of TDWI München digital correspond to Central European Time (CET).
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Track: Finance Track
- Montag
21.06. - Dienstag
22.06.
16:00 - 17:10
Mo 4.5
AI factory and metadata driven data ingestion at ERGO
AI factory and metadata driven data ingestion at ERGO
In this session, the ERGO Group, one of Europe's leading insurance companies, presents their AI Factory for development and operationalization of AI models. The session gives an architectural overview of the AI Factory's components. Furthermore, it explains how cloud-native technologies like Openshift and AWS Cloud Services aided in moving towards a data driven organization. A deep dive into the AI Factory's data ingestion process shows how metadata-driven data ingestion supports Data Governance in an enterprise context.
Target Audience: AI Leader, Insurance, Decision Maker, Data Engineer
Prerequisites: Background knowledge AI, Big Data Technologies, BIA
Level: Advanced
Extended Abstract:
In times of Advanced Analytics and AI, enterprises are striving towards automated and operationalized analytics pipelines.
In this session, ERGO and saracus consulting present the ERGO Group AI Factory. In particular, the presentation retraces how ERGO – in collaboration with saracus consulting – evolved from an on-premises analytics environment to an automated AI-Ops environment running on modern technologies within the AWS Cloud.
To this end, strategic aspects of delivering AI as a service as well as important components for delivering automated AI Pipelines in enterprises are highlighted.
Furthermore, the speakers take a deep dive into the technical aspects of the AI Factory's metadata driven data ingestion pipeline, emphasizing how it supports the key functionalities for Data Governance within ERGO's Data Strategy.
Felix joined the ERGO Group in 2004, starting in the finance department. Following, he had been heading a team with (IT) responsibility for data management, reporting and self-service BI in the Property / Casualty segment. In his current position as Head of Data Engineering, he is responsible for ERGO's Advanced Analytics IT platforms as Business Owner and ensures with his team the AI data flow.
Senior Project and Program Manager for ITERGO, the IT service provider of the ERGO Group and responsible program manager for the AI IT program to rollout and implement various AI features within the ERGO Group
After graduating in Information Systems from Münster University, Lukas joined saracus consulting in 2015 and started consulting in the realm of data engineering.
In his current position as Head of Data Engineering, Lukas leads a team of Data Engineers involved in multiple projects in Germany and Switzerland.
Felix Wenzel,
Christian Kundruß,
Lukas Hestermann
10:00 - 10:40
Di 4.1
End-to-End-Use Case: Metadata Management & DWH
End-to-End-Use Case: Metadata Management & DWH
Like many companies, the 3 banks face the challenge of implementing data governance. With an end-to-end approach for metadata – from the business definition to the DWH implementation – a basis was created for this. The use cases 'IT requirements', 'data quality' and 'data definitions' were the focus of the resource-saving project. The target groups for the metadata are primarily the LoB, especially risk management, but also IT.
Target Audience: Data Governance Manager, Risk Manager, Data Quality Manager, Data Warehouse Architects, Data Modeler
Prerequisites: Basic knowledge
Level: Basic
Clemens Bousquet ist Risikomanager in der Oberbank, die Teil der österreichischen 3-Banken-Gruppe ist. Sowohl in einer Leitungsfunktion des Risikomanagements als auch in zahlreichen Projekten hat er eine hohe Expertise in der fachlichen Datenmodellierung, der Einführung von Data Governance, aber auch der Umsetzung von BCBS 239 und IFRS 9 aufgebaut. Zuvor hat er die Diplomstudien in Volkswirtschaftslehre und Internationale Wirtschaftswissenschaften absolviert.
Lisa Müller ist Senior Consultant bei dataspot. Seit mehreren Jahren setzt sie sich im Projektgeschäft - besonders im Bankwesen - mit Fragestellungen an der Schnittstelle zwischen Fachbereich und Technik auseinander und erarbeitet kundenindividuelle Lösungen. Ihre exzellente fachliche Expertise kommt dabei im gesamten Lebenszyklus von Metadaten und Data Governance zur Geltung, wobei sie besonderen Wert auf die fachliche Datenmodellierung und das Metadatenmanagement legt. Neben zwei abgeschlossenen Bachelorstudien hält sie einen Master in Betriebswirtschaft.
Clemens Bousquet,
Lisa Müller