Artificial intelligence marks the transition from pure automation to systems that learn, decide and act independently. But how can the transition from data and models to reliable, autonomous solutions be achieved? In his article, Benjamin Sawicki from ETH Zurich and member of the SAIROP network shows why the course for the future is being set right now - and how companies can actively shape this change.
This article in KMU-Magazin is part of a series that has emerged as a follow-up activity to the publication Orientation AI: Challenges and Opportunities for Swiss SMEs. This SATW publication supports small and medium-sized enterprises in recognising the potential of artificial intelligence and planning concrete next steps.
The content was created in close collaboration with stakeholders from the SAIROP (Swiss AI Research Overview Platform) network. SAIROP promotes the exchange between science, business and society, makes Swiss AI expertise visible and provides orientation in the dynamic AI ecosystem.
Because these concepts often appear as isolated buzzwords. However, they actually build on each other logically and expand existing methods step by step.
Processes must be digitally recorded and made measurable using IT-supported workflows or IoT sensors. Only then can data be meaningfully analysed and used for AI.
They make it possible to test processes virtually, recognise bottlenecks at an early stage and implement improvements - without disrupting real production.
Step by step, from classic machine learning to deep learning and reinforcement learning through to transformer models such as ChatGPT. Each development opens up new fields of application, but also brings with it new challenges.
The opportunities for companies lie in data-driven predictions, predictive maintenance, decision support systems, autonomous robots and the intelligent control of processes.
Reliability in exceptional situations, the traceability of decisions, integration in complex environments and social issues such as fairness, participation and transparency.
The Swiss Artificial Intelligence Research Overview Platform connects research, industry and administration. It supports the transfer of knowledge and technology and provides orientation in the Swiss AI ecosystem.
SAIROP supports the transfer of knowledge and technology between business and industry and provides orientation in the Swiss AI ecosystem.
