Artificial intelligence (AI) has become a hot issue in recent years. According to a recent survey conducted by the MIT Sloan Management Group, 9 out of nearly 10 corporate executives believe that AI will become a key competitive advantage in the near future, helping companies explore new opportunities. With potential sources of income. However, many issues remain unresolved, with less than 40% of respondents already developing an AI strategy, and only 16% knowing the cost of developing AI for the first time.
According to the report, the Internet of Things is a key driver of machine learning and AI boom. According to ConstellaTIon Research's recently released Business TransformaTIon 150, 25% of the business leaders leading the digital transformation are from manufacturing, but the Internet of Things is still affecting the future. A key driver of all industries.
Since the data is the basis of AI, whether it is tracking the package at the time of shipment or discriminating the abnormal performance of the machine, it is the key to success in collecting and sorting out the data generated by all the sensors and taking relevant actions such as analysis. So companies will need to learn how to manage and use data effectively.
Other industries should consider manufacturing application AI as a research case. In terms of digitization, many business leaders tend to look at the industry when they develop their corporate strategies, and then imitate the leading companies in the industry. But in this fast-developing era of digital innovation, the best way is often to find new insights into the industry. And strategy.
Driven by Industry 4.0, the manufacturing industry has done a lot of early work on digital transformation, and it can be used as a reference for extended applications for other industries that also need to use machines for optimization and efficiency management.
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