In the past few years, Artificial Intelligence has been one of the technologies that are growing fast and disrupting almost every sector. Implementation of AI is very vital in defining future growth in various industries and manufacturing will be the most impacted on the industry. Countries and several businesses across the globe have been trying to develop and harness the potential of transformative AI technology.

The manufacturing sector is leading the way in the implementation of AI technology. AI is revolutionizing manufacturing by reducing the time taken in product design and the use of AI to analyze data improves efficiency safety and quality of products. AI is at the center of next-generation manufacturing and businesses that will adopt AI tech will improve their revenue by 18% compared to those that don’t. Here is how AI id disrupting manufacturing:

Process automation 

Most manufacturers are growingly enhancing automation of process in a bid to keep up with the growing trend. The increase in demand for the integration of big data has boosted the growth of AI in the manufacturing sector. There is increasing implementation of machine vision cameras in manufacturing processes such as material movement, machinery inspection, quality control, and field service all of which are increasing adoption of AI in the industry. The growing demand for AI applications in the manufacturing sector has seen major market players adopt to enhance their business strategies. They are launching innovative products and expanding their portfolio so that they can be on top of rivals. This demonstrates how important AI is becoming each day for the manufacturing space.

Predictive maintenance 

Before the AI revolution, manufacturers used to incur huge expenses in routine maintenance of the production line equipment and machinery. This has a significant implication on the bottom-line for manufacturers relying on production operations. Predictive maintenance which uses AI revolutionized machine maintenance as it can forecast where the next failure in the system or machine will occur. Predictive maintenance employs advanced AI algorithms like artificial neural networks and machine learning to generate forecasts about system failure. It can predict where maintenance is required for technicians to take action. 

Predicting marketing trends

Manufacturers can now use AI in their supply chain to predict demand patterns and trends for products at different times in various market territories. AI is becoming an important component of manufacturers who want to enhance the customer experience. Using big data and automation in the manufacturing process ensures risks are minimal and customers can receive responses instantly which helps in customer satisfaction.

Enhancing the quality of the product

Customers want faultless products and manufacturers want to deliver just that. The rise if quality 4.0 whereby manufacturers are using AI algorithms to determine whether products have faults has helped deal with quality issues. By addressing the fault issues in products manufacturers ensure they deliver quality products. AI also helps manufacturers collect information about product use and performance in the market which is vital to development teams. 

Human-machine collaboration

The manufacturing sector is automating processes and robots are taking over some of the most repetitive functions. Going forward there is a feeling that AI systems will replace humans. According to Oxford Martin School researchers close to 47% of US employment is at risk because of AI tech. However with automation then it means humans will receive training in advanced operations such as programming, design, and maintenance. For AI to succeed in the manufacturing g industry then there must be human-robot collaboration.

There are numerous capabilities of AI in the manufacturing sector and despite the AI revolution still being in the early stages, its impact is already evident. It is impacting design and production processes, administration as well as supply chain and marketing.


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