In particular, he praised China for putting innovation at the heart of its 14th Five-Year Plan and for its commitment to digital transformation and sustainable development. He said that digital transformation is the only way to achieve high-quality and resilient development in all markets and even social economies.
World attention.
In particular, he praised China for putting innovation at the heart of its 14th Five-Year Plan and for its commitment to digital transformation and sustainable development. He said that digital transformation is the only way to achieve high-quality and resilient development in all markets and even social economies.
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The potential is huge: in infrastructure, for example, digital technology can help save up to 20 percent in the operation and maintenance of commercial buildings; In the field of transportation: digital signaling technology can increase capacity by 20% without adding any infrastructure; In industry, 60% of manufacturing tasks can be automated, which means greater resource efficiency can be achieved.
It can be said that digitalization is driving industrial transformation, bringing higher productivity, quality and flexibility, as well as sustainable development. And artificial intelligence is playing an important role in this transformation. To succeed in the field of artificial intelligence, Bleren believes that there are three prerequisites: having industry knowledge and experience, building trust and network information security, and collaborating to build an ecosystem.
What does industry knowledge and experience mean?
For industrial applications, it is not enough to just provide data to a few experts and let them do AI analysis. Of course, every AI expert at an IT company can spot possible anomalies in the database. But only with a deep understanding of the system, such as understanding how motors work and how they interact with pumps or valves, can intelligent algorithms be developed to predict machine or system outages.
That's exactly what Siemens is doing. Siemens has around 1,000 AI experts who use the industry knowledge and experience needed to merge the real and digital worlds to create value for customers.
In the automotive industry, AI has become a decisive factor in boosting productivity, Bleren said. In his speech, he shared the story of Beijing Benz, a car manufacturer. Siemens has helped BBAC successfully improve the production efficiency of its press shop. During the stamping process, vibration can show the health of the machine. However, it is impossible to manually monitor and analyze all vibrations. However, based on the millions of data points generated by the sensors, the vibration can be easily tracked through data science and artificial intelligence technology, and the industry knowledge of Siemens experts can be combined to make predictions.
Bleren also stressed that achieving such results requires a deep understanding of customers and the challenges they face in their operations. In addition, the two sides need to build trust and share data. But even with the highest level of trust, there is still the risk of data leakage and the possibility of security systems being breached. China has recognized the importance of this issue, which coincides with Siemens.
Siemens is currently helping with the overall transformation of Norway's railway infrastructure. Norway's traditional system of more than 11,000 signals and 300 interlocking stations will be replaced by a digital system with only one digital interlock and one data center. "Siemens won this project because of its ability to provide better data security solutions." Ensuring the security of online information is a necessary prerequisite for the successful realization of digital transformation and the application of artificial intelligence.
"No single country or organisation can achieve digital transformation or unlock the full potential of AI on its own." When it comes to collaboration, Boleren said that sincere cooperation with all partners is more important than ever. If you want to truly help your customers, then listen to your suppliers and build an open ecosystem.