Cornelia Volaucnik

IoT & Data Science: Practical insights into industry projects

The episode starts with a discussion about the intersection between data science and IoT and how it applies to different business cases. Dr. Mario Schnalzenberger and Cornelia Volaucnik use three specific projects from the mining and metal products industries to explain how data science can help improve product quality and optimize data preparation and integration into existing systems such as data warehouses. ACP CUBIDO Digital Solutions offers cross-industry digitalization solutions ranging from analytics and software development to licensing and implementation of hardware infrastructures. The customer projects presented are particularly interesting, including ÖBB with a use case for precise electricity consumption forecasts and AMAG (Austria Metall GmbH), a leading international supplier of primary aluminum and semi-finished aluminum products, which is increasing its process efficiency through innovative IoT applications. AMAG (Austria Metall GmbH): Focused on optimizing production data management, which led to significant time savings in DWH loading and improved data quality. SAG Innovation GmbH: The aim was to integrate data science into the production lines in order to increase productivity and product quality, which led to an increase in productivity of up to 30%. Energie Steiermark: The focus here was on improving the accuracy of energy demand forecasts, which led to more accurate forecasts and cost reductions. The episode concludes with a discussion about the future of IoT and data analytics in the customer context and provides insights into the challenges and potentials that ACP CUBIDO has identified in its projects. This makes the episode a valuable resource for anyone interested in the intersection of IoT, data science and cross-industry digitalization.