One of many driving factors behind this automation growth is that the convergence of multiple technologies — including AI, robotics, and machine vision — has enabled the industry to democratize automation by making it easier to deploy and operate.
Would it shock you to learn that spending on artificial intelligence is on the rise? According to respondents of our Annual Quality Spending Survey, 55% of companies expect to increase their spending on AI for 2024.
Manufacturers looking at replacing paper-based quality processes are being presented with a much broader and more effective set of technologies than ever before.
The hard card, or traveler or build book, has many names. And while computerizing quality management is no longer news, that stack of papers always seems to be hanging around.
Integration of the latest artificial intelligence (AI) technologies enable even deeper insights. Users achieve more reliable interpretation of complex information in less time while boosting productivity and reproducibility.
In the quality management domain, AI undoubtedly has potential in different areas. It would be easy to think that AI could be a threat to less modern tools like statistical process control or render SPC obsolete.
Auditing is undergoing a paradigm shift, influenced by the rapid advancements in technology and data analytics. As organizations embrace more complex, digital processes, how they’re audited is changing.
As technology gets easier to use, vision and AI application design is no longer restricted to expert-level developers. A quality manager or IT operations staff can design, train, and deploy their own customizable workflow.