Mastering Digitalization - Towards the Data-driven Enterprise

Speaker:  Sören Auer – Leipzig, Germany
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science

Abstract

Mastering the digitalization challenge requires enterprises to radically innovate. Data, information and knowledge become increasingly important assets for realizing innovative digital business models and services. In order to create an enterprise data innovation architecture, which facilitates the rapid and agile creation of novel and unforeseen use cases we need to establish a common understanding as well as interoperability and accessibility of data and knowledge. To establish such a common understanding of the structure and meaning of data among individuals, departments, value chains or industries we must leverage vocabularies, Linked Data, knowledge graphs or Semantic Data Lakes to facilitate innovate data-driven use cases and enterprise agility. As a result data can be seamlessly exchanged in a secure way between trustworthy parties in the enterprise and value chain to increase agility, efficiency, effectiveness and ultimately realize the potential of digitization.

In this talk we will discuss the key technology elements of an innovative enterprise data architecture, along with applications such as analytics or prediction. We will demonstrate with examples from concrete use cases, how interlinked cognitive data helps to realize innovative services in the Industry 4.0, supply chain, E-Commerce or cultural heritage domains.

About this Lecture

Number of Slides:  20 - 90
Duration:  30 - 120 minutes
Languages Available:  English, German
Last Updated: 

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