26. September 2018, 11:10 Uhr | Karin Zühlke
By 2030, Europe's industry expects over 11 percent growth from artificial intelligence. 95 percent of AI projects are already successful. This was the result of a survey by Hewlett Packard Enterprise.
According to two-thirds of participants of a survey by Hewlett Packard Enterprise (HPE), AI doesn't cost any jobs. I Industrial companies see artificial intelligence (AI) as a driver for profitable growth, because they believe AI increases their efficiency, flexibility, and differentiation. However, in order to further expand the use of the technology, companies must above all solve two problems: the insufficient quantity and quality of their data and their lack of AI expertise.
These are the key findings of a survey conducted by Hewlett Packard Enterprise (HPE). 858 predominantly European professional and managerial staff from industry were surveyed. The survey also revealed that companies want to use hybrid architectures whose AI infrastructure is distributed over distributed edge resources, their own data centers, or the cloud. This enables real-time processing via edge computing as well as data correlation and deep learning across locations.
On average, respondents to the HPE survey expect AI to increase their revenue by 11.6 percent and their margins by 10.4 percent by 2030. They expect benefits from AI across the value chain, as well as for the differentiation of their products and services. This expectation is supported by the success rate of the AI projects implemented to date: 95 percent of those surveyed who already use AIs stated that they have achieved, exceeded, or significantly exceeded their targets. Accordingly, they plan to invest an average of 0.48 percent of their sales in AI over the next twelve months.For comparison, the total IT budget in the manufacturing industry averages 1.95 percent of sales. Two thirds of the respondents also expect that the new jobs created by AI will compensate for or exceed the number that will be eliminated by AI.
The introduction of AI does not focus on costs, but also on flexibility and differentiation. The survey showed that more than half (57%) hope for an increase in efficiency in operation, maintenance and the supply chain. In addition, customer satisfaction should increase (45) and products and services should improve due to new functions (41%). Other goals are to adapt quickly and automatically to changing conditions (37%), develop new business models (34%), and better align supply and demand through better forecasting and planning (32%).
One example of this is one of the most common AI applications, predictive maintenance. It can be used to make the availability of systems and their maintenance more efficient. In addition, manufacturers can also integrate predictive maintenance into the products they sell to customers and thus differentiate themselves from the competition. The survey participants' expectations until 2030 reflect this balanced view: in addition to sales growth and increased margins, they also expect AI to reduce costs by an average of 13.9 percent.