Pros And Cons of AI In Manufacturing

 Good general overview here.

Pros and Cons of AI in Manufacturing

ManojKumar847 May 25, 2022 at 3:47 am  in DataScience

The fourth industrial revolution has been a game-changer, with the global economy’s expansion driving the adoption of new technologies across sectors. Manufacturers are using AI software in product design, production, supply chain, and logistics. AI analytics and data are helping in improving product quality and efficiency. Advances in machine learning, artificial intelligence (AI), and Big Data have initiated an algorithm-based era. Today companies are able to automate multiple tasks, cutting down on errors as well as downtime and expenditures associated with them using AI. Not only does AI provide self-generated decision-making capabilities but it gathers data, identifies patterns in data, and provides recommendations. AI enables machines to make decisions without the need for human intervention. Although humans are not perfect but are much more efficient at performing certain tasks.

Humans are not equipped with the skills to process data and the complex patterns that appear within large datasets. AI easily sorts data from a manufacturing machine and identifies outliers in the data that clearly indicate if the machine requires maintenance in the coming weeks.  AI can complete this task in a fraction of the time that a human would spend analyzing the data. Like many other sectors, the manufacturing industry is also using AI in different ways like predicting maintenance, generative design, and market predictions. Since everything has its advantages and disadvantages, AI being such an asset has some pros and cons as well. .... '