Sustainable Business with Artificial Intelligence
How small & medium-sized enterprises benefit from Artificial IoT.
Artificial Intelligence (AI): These terms are used to describe software that simulates intelligent behavior - for example, making decisions independently and thus solving problems. Machine learning ensures that AI can continue to learn from new information. In this way, it independently improves its procedures and decision-making criteria - virtually every second.
The combination of the Internet of Things and artificial intelligence will be really exciting in the future, because it will make networked devices and objects even more useful. Technology experts refer to this technology as "Artificial Intelligence of Things" or "AIoT" for short: It combines the infrastructure of the Internet of Things, consisting of sensors, devices and data, with the advantages of AI. A promising synthesis that can make applications even more efficient and thus more sustainable. The expected benefits sound convincing:
• Optimization of production processes
• Smart solution finding in research and development
• Identification of hard-to-detect anomalies
• Improved reliability, efficiency and productivity
Higher resource efficiency with AI?
A study by the VDI Center for Resource Efficiency has now addressed the question of the extent to which AI can contribute to more sustainable management, particularly in small and medium-sized enterprises. After all, the sustainable, efficient use of resources is a topic that now concerns not only private consumers. Industry is also becoming increasingly concerned with this complex area. And not only for reasons of environmental protection, but also with regard to the possibilities of establishing their own competitive advantages.
The central question of the study was: "Are methods of AI suitable for the efficient use of natural resources such as water, energy, material in the manufacturing sector?" And is the implementation of this technology also an interesting topic for small and medium-sized enterprises?
Sustainable business with AI - Opportunities for small and medium-sized enterprises
The answer to the previous question is a resounding "Yes!" The targeted integration of artificial intelligence into the digitization process can be an effective tool on the path to greater sustainability - from which not only global players, but also small and medium-sized enterprises will benefit: They in particular can use AI to efficiently exploit their resource potential, achieve competitive advantages and strengthen or develop unique selling points. The potential is clear, and many promising application and implementation scenarios have already been defined. The following examples illustrate where exactly these potentials can be leveraged:
• Predictive maintenance
The basis is a well thought-out architecture and the intelligent use of machine learning algorithms: Both components enable the targeted determination of failure probabilities and the generation of reliable predictions. Expensive machine failures are thus avoided, and maintenance costs are reduced in parallel.
• Optimizing the process chain
The collection of large volumes of production-related data is the key to so-called "machine learning" here. With the help of this AI technology, the manufacturing process is optimized so that less energy needs to be expended: A high savings potential for resources and costs.
• Optical defect detection
The intelligent analysis of image material by AI technology enables the early detection of defects
• Fault prediction
AI applications such as the "digital twin" make it possible in the production environment to validly predict surface damage. This knowledge can be used to adjust system settings in real time - preventing damage from occurring in the first place.
• Sustainable planning of the process chain
Cue micro-manufacturing in medical technology and the automotive industry: the so-called "miniaturization" of production systems and production processes increases functionality.
• IoT data-based product development & retrofit planning.
Future generations and retrofits of products are systematically improved by the insights gained from product usage and behavior data. This involves not only data-based identification of optimization potential, but also targeted retrofit planning.
veröffentlicht am : 2021-07-27 11:15