How to use artificial intelligence to improve people management

AI technology has been around for decades, but its capabilities, funding, and overall attention have skyrocketed in recent years. Machine learning.

Features permeate almost every industry and our daily life, from self-driving to Facebook. This rapid development is driven by advanced machine learning systems that continuously consume and apply knowledge to improve accuracy and analysis. AI has proven its potential for convenience and efficiency, completely redefining the way we live, work, and relate to each other.

The promise of AI has actually improved communication between people, especially in a business environment.

Human innovation, combined with technological development, is a powerful force. Technology has evolved from simple basic HR processes to future outcomes and ways to fundamentally restructure the employer's management. So, through machine learning, natural language processing.

and distributed data collection interfaces to support technologies that will revolutionize the executive's workspace. Big data drives understanding. A lot of data is needed to do the work. The term big data actually refers to a large amount of information that can be used over a period of time.

Today's technology is capable of digesting this data mining with superhuman power and speed.

and apply advanced mathematical algorithms to find patterns, trends, and outliers. This insight can change how managers deal with everything from turnover.

to everything from overtime, thus providing leaders with the opportunity to better understand their team and strengthen it. Automation plays an important role in the data consumption process, with unparalleled developments in convenience and productivity. Complex administrative functions.

Often bothering employers, especially when it comes to human resources, reduces the likelihood of human error and greatly speeds up completion.

Today's human capital management solutions leverage vast amounts of data** on everything from performance, success, to risk. This self-learning system is accurate and adaptable. They are not simply reporting on the past, but on future trends so that leaders can continuously improve within the organization, sales are a top priority for today's leaders, but this can lead to an increase in business errors, negative cultural impacts, and the annual salaries of employees.

It is possible to double the cost of employment and education. **AI tools automatically process and analyze rich human capital management data to identify employees who are most at risk of leaving and warn management to take action.

1. AI is a game-changer for managers because it can eliminate the tedious work of sifting through all the data that teams and companies are generating, and it makes it easier to reveal the actions managers can take. 2. Business performance tools powered by AI and leveraging machine learning enable organizations to conduct and view the windshield. The AI in these tools is all about providing insights that are not normally gathered and, in most cases, taking on the burden of some repetitive tasks.

3. By that time, reports showed that analytics and artificial intelligence had converged to provide companies with a more detailed view of management and operational issues to improve operational performance, in addition to the analysis of employee engagement and retention rates.

At this time, you can record attendance by manually punching in, and you can also supervise their daily work through the camera, and you can also notify them through WeChat or group notifications when you publish tasks.

Artificial Intelligence (AI) in English. It is a new technical science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence, including robotics, language recognition, image recognition, natural language processing, and expert systems. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application field has been expanding. Artificial intelligence can simulate the information process of human consciousness and thinking.

Artificial intelligence is not human intelligence, but it can think like a human being, and may surpass human intelligence.

Artificial intelligence is an extremely challenging science, and those who do it must be computer literate, psychological, and philosophical. Artificial intelligence is a very broad science, it is composed of different fields, such as machine learning, computer vision, etc., in general, one of the main goals of AI research is to enable machines to do some complex tasks that usually require human intelligence to complete. But different times and different people have different understandings of this "complex work".

1] In December 2017, artificial intelligence was selected as one of the "Top Ten Popular Words in China in 2017".

The intelligence of the human bank caverner is an effective means to improve the level of dry management of scattered rocks. （）

a.That's right. b.Mistake.

Correct Answer: a

Artificial intelligence can improve the production efficiency and management level of enterprises from the following levels or links:

First, in the storage process, for the warehouse operation of enterprises, artificial intelligence technology can fully optimize and learn according to various constraints of the real environment, such as the geographical location of customers, merchants and manufacturers, transportation economy, labor availability, construction costs, tax system, etc., so as to give a location model close to the optimal solution. Artificial intelligence can reduce the intervention of human factors, make site selection more accurate, reduce enterprise costs, and improve corporate profits.

Second, inventory management, artificial intelligence can reduce the waiting time of consumers while separating the relevant functions of the enterprise, making the operation of the enterprise more efficient. One of the most well-known applications of AI technology is to analyze large amounts of historical data, learn from it, summarize the corresponding knowledge, and establish relevant models to interpret past data and improve future data. By analyzing historical consumption data, dynamically adjusting the inventory level, maintaining the orderly circulation of enterprise inventory, improving consumer satisfaction, and not increasing the cost waste of blind production, enterprises can always provide high-quality production services.

Third, express transportation, the widespread use of artificial intelligence has improved the efficiency of enterprise systems and reduced the industry's dependence on manpower. Software services such as electronic contracts will also greatly reduce the cost of enterprise express transportation, and switch paper contracts to online signing, which is more environmentally friendly.

Ideal urban management also includes the "external brain" that can find intelligent management in addition to the "human brain". In October 2016, the city of Hangzhou** announced a plan: to install an artificial intelligence hub for this city with a history of more than 2,200 years, the Hangzhou City Data Brain.

In a preliminary test in some sections of the road in Hangzhou's Xiaoshan District, the City Brain intelligently adjusted the traffic lights, which can increase the speed of vehicles by up to 11%.

Artificial intelligence experts from 13 companies "rolled up their sleeves" and "opened" to the long-pending big city disease. "This is a forward-looking practice of using artificial intelligence for social management and, above all, a willingness to open up data. Liu Song, vice president of Alibaba Group, said.

The disadvantages of the Yangtze River Delta region in terms of innovation cannot be ignored due to the increase in labor costs, the constraints of land and other resource elements, and the improvement of "efficiency" is the primary factor here. In recent years, the three provinces and one city in the Yangtze River Delta have jointly built the "Yangtze River Delta Large-scale Scientific Instrument Collaboration and Sharing Network". By the end of 2016, a total of 1,479 units and 17,081 sets (sets) worth more than 300,000 yuan of large-scale scientific instruments and facilities in Shanghai, Jiangsu, Zhejiang and Anhui had been connected to the network, effectively reducing the repeated investment in the purchase of scientific research equipment in the region.