The technologies that will revolutionize the sector are products or devices based on IOT, AI, AR and VR. Many industries, such as IT, textile, automotive, chemical and food, are also evaluating how to implement this technology. This would allow them to quickly create a unit, speeding up research and reducing costs. Thinking specifically about the manufacturing sector, these disruptive technologies will allow many smaller companies to enter the market. Most of the manufacturing industry needs development mainly in production, quality control and inventory management. So the thirst for development will be satisfied by these disruptive technologies. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an Original Essay The growth of every manufacturing sector depends on predictive maintenance, energy management, time and cost reduction, quality control, data loss, and security. Through these advantages the industry will evolve. The relationship with the customer is also one of the most important things. By adapting predictive maintenance with the manufacturing industry, companies have come forward to know what and why is in the business and can have a lot of information about future trends. By connecting to devices and monitoring the data produced, you can identify patterns that lead to problems. Using this insight, problems became known before they occurred. This type of forecast helps optimize equipment and reduce organizational downtime. In addition to the above preventative measures, the use of predictive maintenance is called reliability-centered maintenance (RCM). Predictive maintenance is all about smart business. For example, if the weather forecast calls for rain, a system for retailers automatically adapts and the umbrella opens. There is a platform called Alice, it is a Circular Board technology. It is the world's first AI system for women entrepreneurs. Using the machine language-based Alice platform helps companies manage more correctly. In all departments, predictive maintenance is part of the process. But especially in the manufacturing sector, predictive maintenance is a very necessary process because its application is high, as we have seen above. In predictive maintenance, if we can know the defect of a device in advance, we can prevent failures and reduce maintenance costs by using the latest Internet of Things. Every industry will be willing to invest in predictive analytics, due to its future reach. Therefore, integrating predictive analytics will make the industry easier and can predict the future accurately and consistently. For example, managers want to know which parts will be the first to fail, while the failure could be identified. Knowledge of the defect must be communicated first to both the manufacturer and the user. Once the defect is confirmed, can the field technician identify the type of problems? If there are raw materials in the inventory to solve this problem. Additionally, the manufacturer can predict user review or feedback using sentimental analysis. The use of forces, vibrations and movements applied by the user helps to perceive the sensation of the user. This way the manufacturer can collect feedback from the customer who uses the device. Let's think about the sentence above, sentimental analysis will provide the manufacturer with the raw data of user feedback. Why don't we use this technology to analyze the stress level of,.