Industrial IoT – from data acquistion to data utilization in the context of logistics

Speakers

Industrial IoT – from data acquistion to data utilization in the context of logistics

Content

Logistics is everywhere, no matter if it’s about tracing value chains or production lines in order to secure quality and accountability as well as exploiting economic and production efficiency or to avoid damage or drop outs. Today it is basically impossible not to produce data and almost impossible not to use them when dealing with scarcity in all kinds of areas, such as time and resources.

SME especially often lacking the capacities to identify the right tools for their individual digital transformation, while being fully emerged in their day2day business.

An additional hurdle is added, when one is working with a variety of different machines and tools all producing different types of data.

In this workshop we want to present how data can be collected simultaneously, how to proceed when identifying crucial data sources and how to make data available. Additionally we show you what AI can actually deliver and present some best practices regarding data usage in the field of industrial IoT and logistics.

Together with EDIH Applied CPS, we present the challenges of working with different types of data and intersections, keeping in mind the overall goal to make them accessible for the non-tech-savy end users/customers of software solutions.

The program is carried out through the European Digital Innovation Hubs initiative and funded by the European Union, the Austrian federal ministry of labour & economy and the Austrian Research Promotion Agency.

Target Audience

SME interested in using data and AI to optimize and manage processes better and SME interested in developing tools for optimization through data.

Objectives/Learning Outcomes

Logistics is everywhere, no matter if it’s about tracing value chains or production lines in order to secure quality and accountability as well as exploiting economic and production efficiency or to avoid damage or drop outs.

In this workshop we want to present how data can be collected simultaneously, how to proceed when identifying crucial data sources and how to make data available. Additionally we show you what AI can actually deliver and present some best practices regarding data usage in the field of industrial IoT and logistics.

This is were Applied CPS and INNOVATE want to step in, they present the challenges of working with different types of data and intersections, keeping in mind the overall goal to make them accessible for the non-tech-savy end users/customers of software solutions.