Artificial Intelligence has entered our lives for good, and it will cover more and more of its aspects. Work on the use of AI in production has been going on for years. What will the factory of the future look like? In what direction is production going? Which AI and Machine Learning solutions are profitable for companies to invest in?
5 ways AI will change manufacturing
It turns out that many companies struggle with quality assurance. That is why defect control plays an enormous role. Traditional product quality control has relied on people. It was a human who monitored a given product looking for defects. It was an expensive and very time-consuming process. Fortunately, by implementing AI, quality control can be carried out faster and more efficiently. Cameras identify cracks, scratches, missing parts, dents, and general damage. It changes the margin of error, and saves time and money.
A growing number of IoT devices leads to exponential increases in threats. And intelligent manufacturing companies are among the most vulnerable ones. The ability of AI algorithms to process and sort through enormous amounts of data can reduce unknown threats. AI-driven cybersecurity systems allow manufacturers to:
- Spot attacks across cloud services and IoT devices
- Interrupt the attacks quickly and precisely
The system can send an alert to the relevant teams so that they can take appropriate steps to prevent further hacking.
Hyper automation is the use of advanced technologies such as AI, ML, and RPA to improve business decisions. The concept of automation in production refers to the use of machines during production processes. AI technology allows organizations to fully adapt automation solutions to the needs of each production line. It takes into account such factors as
- The size of the space
- Production efficiency
- The number of personnel required to service production
With automation, employees are freed from repetitive and low-value tasks. They can focus on those activities that are more important to the organization. In this respect, we can also talk about an increase in performance.
Optical character recognition (OCR) detects and reads images using computer vision. OCR techniques allow you to extract printed text from images (product labels) as well as from documents (reports, forms, and invoices). Text is usually extracted as words, text lines, and paragraphs or text blocks, allowing you to access a digital version of the scanned text. This eliminates or significantly reduces the need for manual data entry.
The goal of effective inventory management is to maintain an adequate level of inventory to meet market demand without increasing idle inventory. This is an extremely difficult and time-consuming task, as it requires constant control of a huge amount of data. Artificial intelligence turns out to be much faster and more efficient than even the best experts in the field of logistics. With AI, manufacturing companies can reduce the cost of maintaining inventory, as well as predict their shortages.
Inventory management is equally important in online stores. Of course, artificial intelligence also has its application here. You can read about the role of artificial intelligence in manufacturing here: https://addepto.com/.
Conclusion – The future of artificial intelligence in manufacturing
Artificial intelligence has a huge impact on the manufacturing industry. Already, companies are using this technology to
- Accelerate processes
- Improve security
- Help manual workers
- Improve financial results
- Reduce costs
- Save time
There are really many benefits of implementing this technology. Smart companies that already use AI in their workplace know this. There is no doubt that smart companies have an advantage over companies that operate in the traditional way. Therefore, in the future, more and more companies will use the potential of this technology.