Webinar / 24.09.2025
From connected machines to smart decisions: Best practices from IoT & AI
Benefit from proven strategies and successful implementation examples of intelligent networking.
![[Translate to Englisch:]](/fileadmin/_processed_/a/b/csm_iot_web_6707407fba.jpg "[Translate to Englisch:]")
The intelligent use of machine and company data, supplemented by the use of artificial intelligence (AI), offers enormous opportunities for increasing operational efficiency. By analyzing this data,
- companies can optimize their operational processes,
- develop predictive maintenance strategies, and
- significantly improve the quality of their products.
A holistic view of the data not only enables a deeper understanding and more effective control of individual machines, but also opens up opportunities for cross-industry optimizations and groundbreaking innovations.
A methodical and structured approach is crucial to realizing the full potential of these technologies. In our webinar, we present best practice examples and proven approaches that have been successful in numerous projects. We show you how you can successfully implement your IoT projects from conception to realization.
Our speaker
Dr. Mario Schnalzenberger from ACP CUBIDO has been working in the IT industry for almost 30 years and has been involved in statistics and big data as well as predictive analytics and artificial intelligence for over 20 years, developing a wide range of solutions. He has been part of the ACP CUBIDO team for over 10 years, supporting customers in this exciting field.
Mario holds degrees in statistics, economics, and social and economic sciences. He teaches at several universities and colleges in Austria, as well as at HTL Leonding. He regularly presents at various conferences on a wide range of topics in applied statistics, computer science, IoT, and AI.
As a specialist in analytics and software development, ACP CUBIDO develops customized software solutions for customers of all sizes and industries or supports them in the collection, analysis, and preparation of all types of data.
Target group:
The webinar is particularly suitable for
- Managers and decision-makers from production, engineering, and IT
- Production and operations managers
- IT and digitalization managers
- Project managers and innovation officers
- Engineers, technicians, and data scientists
- Anyone who wants to leverage the full potential of their company and machine data with the help of intelligent networking and artificial intelligence.
Date and location:
- Wednesday, September 24, 2025
- 3:00 p.m. to 4:00 p.m.
- Ginzinger online seminar room