Digital transformation rapidly promotes the innovation of Chinese Enterprises

Aveva, a global leader in engineering and industrial software, has demonstrated proven business advantages to industrial and capital intensive enterprises that are undertaking digital transformation projects around the world. Although the Internet of things, artificial intelligence and big data have been rapidly deployed in the financial, insurance, medical and retail industries to meet the changing needs of customers, the industrial sector has made slow progress in adopting these new technologies. A recent study of 157 processing manufacturers by arc Advisory Group (ARC) found that digital transformation still has many obstacles in organizational responsibility, culture and employee change management. According to arc research, although more than 80% of processing industry manufacturers are experimenting with advanced technology, only 5% to 8% are ready for digital transformation. Arc believes that the main obstacle to the transformation is the user's organizational structure and the scalability of use cases, while the biggest driving factor of digital transformation in the industrial field is the need to control the business consequences caused by unplanned downtime. Craig Hayman, CEO of aveva, said: "now is the best time for China to launch the digital transformation plan. Low-cost cloud computing access, strong network connectivity, converged edge and enterprises, coupled with analysis and machine learning technology, all mean that in the industrial field, it is easy to use digital technology to promote production capacity.

Chinese business leaders who are pushing forward the new generation of transformation know that the key to transformation is to act quickly. As a partner, aveva is committed to promoting the digital process of enterprises, helping them speed up the application of digital technology, realize the value of digital twins, and establish a digital team. The great benefits brought by digital transformation to China's industrial field. The improvement of equipment operation health will reduce unplanned downtime and improve equipment performance, while the event prediction ability can reduce operational risk and ensure employee safety. "In addition, cognitive learning can provide digital intelligence so that knowledge and experience can flow freely throughout the enterprise," commented Wan Shiping, general manager of aveva Greater China aveva summarizes the three key steps to promote the digital transformation of enterprises: first, enterprises need to "seize" the integrated operation center to realize the visualization of their existing industrial data; second, enterprises need to use data to save operating costs or operating budgets, establish knowledge charts about assets, and use machine learning and artificial intelligence to predict the fault When it happens, this process is called asset performance management (APM), which is a hot field developing rapidly with a large number of innovations. Finally, enterprises should use data to eliminate risks, introduce simulation into engineering design, and use cloud computing to replace old workflow. Mr. Craig Hayman commented: "over time, these three steps will merge to form an end-to-end digital twin, including the original engineering data of an organization, as well as the operation performance and maintenance schedule. By using the integrated data and analysis capabilities of individual digital twins, Chinese enterprises can start to realize real digitalization to optimize the life cycle of their assets. This process starts with initial capital investment and runs through the entire operation stage of modern factories, Refineries or smart cities. "