Quick comment on hot topics: IDC released the top 10 predictions for China's manufacturing industry in 2021. Why is AI risk decision-making "on the list"?
Release time：2024-09-20click：0
Intelligent Manufacturing Network News The actual development status of the manufacturing industry is related to the country’s economic development and social stability. Accelerating the transformation and upgrading of traditional manufacturing industries towards intelligence and digitalization has become an important part of promoting industrial development. Paying attention to the future direction and trends of the manufacturing industry and actively cooperating with enterprises in product research and development, technical research and other work have also become the active choices of many manufacturing practitioners.
On December 14, IDC released "IDC FutureScape: Manufacturing Forecast in 2021 - China Enlightenment", which provides executives of manufacturing companies with information on manufacturing IT in the next 60 months. The report identifies the time in the future when these predictions will come into effect and the business areas affected, as well as the cost and relative complexity.
It is reported that these predictions are AI risk decision-making, automated asset operations, cross-ecosystem operation and maintenance centers, supply chain flexibility, large-scale remote office, cross-application collaboration, and risk migration. Ecosystems, B2C opportunities, shop floor digital twins and embedded quality management.
Among them, "AI risk decision-making" is impressively listed. By 2026, 50% of China's top 2000 companies will use artificial intelligence to develop risk-based operational decision guidance and insights, compared with less than 5% today. There are still a few years to go before 2026, and “signs” of the application of artificial intelligence in risk operation decision-making are gradually emerging.
For risk cases, financial analysts can use AI algorithms to analyze case history and identify any potential problems in a timely manner. At the same time, with the help of machine learning, cloud computing, Internet of Things and other technologies, financial analysts can build accurate models to pay attention to asset flows and investment tendencies that are different from usual, and then notice possible risks and prepare assets in advance. Configuration and risk prevention and control.
There is no doubt that my country has become a major manufacturing country with important influence, but it also has weak innovation capabilities, low added value in manufacturing, poor quality of the supply system, and poor resource and environmental problems. Problems such as high bearing pressure. In order to achieve high-quality development of the manufacturing industry, it is also necessary to focus on core technology research and development and professional talent training, in order to lay a solid foundation for the upgrading and optimization of the entire manufacturing industry chain.
