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.