Articles Tagged with ''Artificial Intelligence (AI)''

The manufacturing industry has a significant labor shortage. We need to attract new talent and upskill our existing workforce, especially by embracing candidates without degrees and leveraging technology for training at scale.

Manual methods of performing nondestructive testing (NDT) and human evaluation of the results are rapidly being replaced by automated, digitized, and artificial intelligence interpretation of the results wherever economically feasible.

Quality 4.0 aligns quality management with Industry 4.0 to drive efficiencies, performance, and innovation. It's critical now more than ever to merge human skills with technology.

Determining liability and accountability for AI system actions is challenging. Organizations need a comprehensive approach addressing technical, ethical, legal, and organizational aspects of AI.

Advancements in AI and machine learning offer hope to revolutionize industrial automation and tackle modern manufacturing challenges.

Industry solutions and products rely on common standards and interfaces, enabling seamless collaboration and increasing efficiency.

Manufacturers are prioritizing low-code AI tools to simplify application development, enabling non-experts to create and customize AI workflows.

Manufacturers face complex challenges, including attracting and retaining labor and adapting to a volatile market. Skilled human labor remains crucial despite advancements in automation.

Quality training is crucial for success in rapidly evolving industries like additive manufacturing, welding, and nondestructive testing.

The aerospace industry constantly seeks new technologies for a competitive edge and enhanced capability. AI and maching learning in additive manufacturing offer significant value for meeting industry needs.