Industrial equipment manufacturers with sophisticated artificial intelligence systems can increase their market value by up to 25%

[Industrial equipment manufacturers with a sophisticated artificial intelligence technology system can increase their market value by as much as 25%] The Hannover Messe has just concluded. A recent Accenture study found that the vast majority of manufacturing companies are trying to use artificial intelligence (AI) technology. To improve products and services, research has shown that industrial equipment manufacturers that make good use of artificial intelligence technology can increase their market value by as much as 25%.

In this regard, most leading companies have a clear investment and ecosystem strategy. Some of them use artificial intelligence technology together with other digital technologies to create value for customers. The main artificial intelligence solutions that companies plan to use include: Computer vision (73%), deep learning (64%), and robotic process automation (64%).

Accenture proposes that companies that have successfully applied artificial intelligence technology need to go through four phases: establishing beliefs, building a vision, committing to investing, and applying it in an all-round way. However, at present, there are very few AIs that are really large-scale applied to the enterprise core business.

Although 98% of the surveyed companies have begun to use artificial intelligence technology to improve their products and services, only 16% of companies have a complete artificial intelligence vision, and 5% of companies are investing in artificial intelligence to transform their manufacturing operations. Only 2% of companies have artificial intelligence solutions.

The main reasons for this are data quality and security issues. In this regard, 52% of Chinese companies interviewed in China and global companies cited data quality as an outstanding challenge, followed by data security and cybersecurity (47%). , as well as data sharing and intellectual property protection (44%), which are higher than the global average.

In addition, there are also industry differences in the maturity of artificial intelligence. Auto companies are even more committed to using artificial intelligence, with 9% of companies entering the third phase and 5% reaching the fourth phase, compared with only 7%. The durable consumer goods companies and 3% of industrial and heavy equipment manufacturers reached the third stage, and only 1% of the companies in these two industries entered the fourth stage.

At the same time, for different industries, the degree of artificial intelligence remodeling manufacturing is also different. Sixty-five percent of automotive companies consider changing profitable revenue sources as a matter of choice, and 57% of heavy equipment manufacturers say sales and marketing strategies throughout their entire product life cycle are the key considerations, while 42% of industrial and electrical Equipment companies hope that embedded artificial intelligence can further promote enterprise innovation.