Find out in our white paper why only a few companies are using AI systems in regular operation, although the majority is convinced of the great added value of the systems.
CEO & Mitgründer von Maddox AI
The idea for the white paper arose from the fact that we often read about the importance and immense transformation potential of AI, but concrete reports on implemented success stories tend to be absent. So where does the discrepancy between press perception and successful implementation in the industry come from? This is exactly the question we want to examine more closely in this White Paper, therefore we are taking a look at the market for visual quality control.
Dozens of studies have already examined the adoption rate of artificial intelligence (AI) in companies. The vast majority come to the same conclusion: companies have recognized the great potential for optimization, but still rarely use AI systems in regular operations.
This discrepancy is also reflected in our survey results. While 70% of the participants consider AI-based inspection systems to be ready for series production, only 17% actually use them. This is particularly remarkable, as at the same time almost 80% of the surveyed companies still rely on manual quality inspections. AI-based inspection systems are still in the early stages of market penetration, and it is ultimately the customers who decide which solutions will prevail. This survey provides food for thought as to which customer requirements play a particularly important role.
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