Today, artificial intelligence is either regarded as the end of the world - that is, as we think, robots will replace us in all the work; or be the answer to all our problems - artificial intelligence is the ultimate solution to save the planet. Ironically, this complex technique often triggers such a simple polarization. This is a problem, because people who actually deal with artificial intelligence will tell you without exception that the fact is not so dramatic at least in the short term, but it is closely related to the present. Which business areas will take the lead in applying AI technology and which use cases will become the pioneers of development? It is predicted that the following three areas will be expected to achieve rapid development:
1) Artificial Intelligence Enhancement and Decision Automation
Some people think that one of the reasons that artificial intelligence will deprive people of work is because they have confused artificial intelligence with automation. According to the Gartner report, “2020 will be a crucial year for employment turmoil associated with artificial intelligence, as artificial intelligence (AI) will become a positive work incentive... In 2020, AI will create 2.3 million Job opportunities, at the same time, will also reduce 1.8 million jobs.†Gartner analyst Svetlana Sicular said: “Unfortunately, most catastrophic unemployment warnings confuse artificial intelligence with automation, which masks the largest The advantage of artificial intelligence is the combination of human intelligence and artificial intelligence, so that the two complement each other."*
One of the use cases is decision optimization. As the global market continues to expand, industrial complexity continues to increase. Globalization, innovation and competition are all growing rapidly. Enterprises have always faced the challenge of producing or delivering more products with fewer resources and more streamlined and faster business operations. One of the consequences of rapid globalization is that the demand for products and services in the global market may change momentarily. Imagine a manufacturing company selling products in 50 markets. If the price of raw materials in a certain area suddenly rises or new trade tariffs occur, it is crucial for the company to be able to adjust demand and pricing in a short period of time. In this regard, artificial intelligence can create an overview of a large number of factors at the same time to help you plan how to adjust demand planning and pricing. Historical data can be used to learn to formulate or make decisions that enable faster, smarter decisions. For large amounts of data from multiple markets, it may be difficult to determine what is important. Artificial intelligence, on the other hand, can help you detect abnormal conditions and patterns and alert you when data points exceed certain intervals. In this way, AI can automatically execute some decisions. Based on past behavior and specified priorities, your AI-enhanced business software can achieve decision-making optimization, such as providing you with a daily list of five decisions that should be taken.
When using artificial intelligence for anomaly detection, people will focus on how to manage abnormal situation decisions. This may require more human-specific qualities, such as the creativity or sympathy needed to determine human responses and consequences. Finding this balance to optimize the collaborative work between humans and artificial intelligence is critical to the long-term successful implementation of artificial intelligence strategies.
2) Artificial Intelligence Enhanced Predictive Maintenance and Services
News about artificial intelligence, such as drones, has always been a hot topic. In fact, for most companies, what they are more concerned about may be how AI will affect the maintenance and repair of trucks first—using algorithms to use sensor data to predict in advance the specific needs of trucks in specific situations, regardless of the climate at the time. In the open road or service bay. In fact, artificial intelligence will play an important role in the maintenance of many industries. McKinsey found that for manufacturing operations, artificial intelligence enhanced predictive maintenance can better predict and avoid machine failures by combining data from advanced Internet of Things (IoT) sensors and maintenance logs and external resources. Asset productivity may increase by 20%, while overall maintenance costs may decrease by about 10%.
Asset-intensive industries such as manufacturing or energy are ideal applications for artificial intelligence because most critical equipment is now equipped with a large number of sensors that generate a large amount of IoT data that can be used to build machine learning algorithms. basis. Based on these data, artificial intelligence can turn maintenance from preventive to true predictive.
Production lines or energy plants associated with software with built-in AI capabilities can not only use IoT data to detect conditions such as excessive temperature, but also use machine learning algorithms to enable the system to learn from experience and connect these data to production scenarios in. For example, when the temperature level on the production line is too high, which has often required maintenance in the past, it is now possible to solve the problem by automatically creating work orders and dispatching service personnel in the enterprise software without any manual work. By adding AI capabilities, an AI-driven route scheduling solution (decision-making optimization) is created. The software can even learn how to optimize staff scheduling, thereby providing maintenance services for equipment dispersed in different geographic locations with maximum efficiency. Of course, this is just one example of how IoT, automation, and artificial intelligence work together to optimize predictive maintenance and services.
3) AI-supported system interaction
At present, the most advanced areas of AI technology are interactions with people and systems. Artificial intelligence voice assistants are a great opportunity for many companies both inside and outside, and the key is to use them for simple queries or processes that happen universally. These tasks may not be complicated in nature, but still require you to log in to the application and perform a series of brief operations each time, which will take a long time in the long run.
In the company's internal environment, AI chat bots are very likely to make this process more effective, such as when an employee is sick calling to leave, or just want to find and access certain items in their enterprise software. Save time and money by accessing this information and using your voice or chat features. The enhanced artificial intelligence function can optimize the entire process in time, making the process of executing tasks in the future more smooth and fast.
From the outside, answering calls at the service help desk is a natural way to use AI chat bots because these phones are usually simple requests, such as creating open hours or determining when an engineer arrives. This AI-oriented approach will become more and more important, not only in terms of the quality of the services you can provide, but also in situations where the service provider's skills shortage is increasing.
Many contact centers are now working on developing omni-channel solutions that include voice, email, social media, and chat as contact options. AI capabilities help determine your preferred contact channel and guide you through the process more quickly and efficiently in the future. .
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