Global Group Director AI and Big Data - Vodafone Group
"Value Generation through Artificial Intelligence and Big Data"
Practical examples and selected use cases from the field of agile international high performance teams in the telecom and automotive industry.
Head Competence Unit - Cooperative Digital Technologies - AIT Austrian Institute of Technology
"Enabling the Circular Economy using Smart Data"
To transform our economy from a linear to a circular one, information is a key enabling element. By collecting data about resources, materials and products along their life-cycle, we can provide the foundation for their targeted and efficient reuse. Thus ensuring, that energy consumption is reduced, materials are efficiently utilized and product lifecycles are extended. In this talk we will outline, how the combination of IoT, smart data spaces and AI can contribute to this vision and what challenges are still ahead.
Head of Data - Uniqa Insurance Group AG
"The Data Mesh"
Data handling saw 3 major developments: the first one was focused on relational Databases. The second revolution was around the data lake, which gave us the promise to handle more data with higher efficiency. But in the first 2 developments, we never thought about the users of data: the business. Now, a new revolution is coming in - the Data Mesh. The Data Mesh has the potential to disrupt how we use data. It isn't a technology or a tool - it is a concept. A concept that brings data where it is being used: in the business. Thus, the focus of the Data Mesh is about generating business value, rather than creating technical platforms that are complex. Join this talk to learn more about the data mesh.
Professor of Data Intelligence - Institute of Information Systems Engineering - Technical University of Vienna
"Open Science with Closed Data"
Various commercial and non-commercial organisations collect data in their day-to-day business that can be used to answer interesting research questions, often related to critical issues in health, society and economy. This data is however often not available for use in research, for good reasons including privacy and commercial secrecy. I give examples of how access has been provided to such data for researchers, in particular in the domains of health and mobile communication.
Photo: Sunla Mahn
CIO at ZAMG Zentralanstalt für Meteorologie und Geodynamik and President of DIO www.dataintelligence.at
Product- & Project-Management, Nexyo
"How to manage Data Governance in an Agile Way"
In order to dive into the topic of "Agile Data Governance",we must first look at the structureof decentralized data ecosystems.Here, the main difference to a centralized data ecosystemis the management, i.e., thegovernance. A centralized system focuses on homogenizingthe structure, whereas adecentralized system aims to structure the heterogeneity.On the one hand, there is the effortto unify things globally, on the other hand, thereis the focus on sub-areas, they are onlymarked in such a way that they are still manageable,comparable and usable.Agile Data Governance builds on the principle of decentralizeddata ecosystems and is thekey to successful implementation.By Agile Data Governance, we mean the most efficientway to establish professional andmeaningful data management in a company. Efficientbecause it takes into account not onlythe technical, but also the organizational aspectsof implementation in a way that preservesresources.
Career Profile: Günther Tschabuschnig
Career Profile: Natascha Totzler