Artificial Intelligence (AI) has been tainted with a lot of negative press since its conception. Many people in the workforce have started to question the motives for implementing AI in factories and other workplaces. However, there are responsible AI practices aimed at making the workplace a better place for employees. A prime example of this includes the applications of AI in manufacturing. Its implementation in this industry proves that the tech is only good as its user.

In part 1 we reviewed why artificial intelligence (AI) is moving slowly. In short, AI is growing and will continue. Reports which say growth is slow may be looking into specific trends, industries, or AI on a mass scale. However, maturity, confidence, ROI, scaling, and connectivity might be slowing mass adoption. Additionally, we saw what AI can do in manufacturing.

Even early concerns related to artificial intelligence (AI) have not appeared to slow its adoption. Some companies are already seeing benefit and experts are saying companies not adopting new technology will not be able to compete over time. However, AI adoption seems to be moving slowly despite early successful case studies. AI is growing, but exact numbers can be difficult to obtain, as the definition of technologies such as machine learning, AI, machine vision, and others are often blurred. For example, using a robotic arm and camera to inspect parts might be advertised as a machine learning or an AI device.