Supporting analytics and data science in an enterprise involves more than installing open source or using cloud services. Too often the focus is on technology when it should be on data. The goal is to build multi-purpose infrastructure that can support both past uses and new requirements. This session discusses architecture principles, design assumptions, and the data architecture and data governance needed to build good infrastructure.

Target Audience: BI and analytics leaders and managers;…

Learn how Lufthansa Group is leveraging AI in the sky - and how you could apply the same concepts to your business. Lufthansa Group and Google Cloud developed a cloud native application that pulls data from operational systems to the cloud for analysis by artificial intelligence and operations research for optimizing flight operations. It balances crew availability, passenger demand, aircraft maintenance status etc. Recommendations are given to Operations Control for final checks and…

Within this session colleagues from Siemens Financial Services and b.telligent present how they are building jointly an intelligence data integration framework based on Azure Services leveraging the unique advantages of concepts such as generic loading, automated schema evolution to magnify flexibility and how they fine-tune workloads, to ensure a smooth performance and to cost-efficient workload management at the same time.

Target Audience: Technical Experts in Data Warehousing, Data & Cloud…

In this session Marcel will talk about how organizations are realizing a data shopping process with the correct technology, organization and business processes. The session will unveil the role of each technology component from data catalogs and data marketplaces to data virtualization and data pipelining. Furthermore, the role of data governance and organizational change management will be explored and customer reference architectures will be provided to illustrate an exemplary end to end data…