How does artificial intelligence help in the workplace?

Nowadays Artificial Intelligence allows, above all, to automate repetitive tasks, often unpleasant; actions that were previously carried out by employees as work techniques. We must end the preconceived idea that most of the human activity of a company will fall into the hands of machines. AI should be understood as a technological opportunity that gives employees time to make decisions.

AI as a solution to add value to businesses and companies.

Therefore, employees will be able to concentrate on other tasks in which they will achieve greater added value. On the one hand, they will be able to focus on their creativity, innovation and analysis; on the other, they can dedicate themselves to human relations and communication, whether internal or external. For example, a nurse will be able to spend more time with her patients. Thus, AI returns meaning to work, a basic requirement for younger generations.

Once it is understood that technology is capable of contributing to the labor field, it helps to facilitate all the tasks carried out by a person. That is, it will be able to provide the necessary tools for analysis, development and work efficiency.

The risks that workers will have to face in a digitalized natural environment.

Work performance is always monitored and supervised, where the integral well-being of the company is the motivation that determines the employment relationship between the worker and the company, employees strive to enjoy a dignified and happy life, paid with their effort and deliver part of his time and effort for a salary, But now relationships in the industry are changing and a new type of "actor" has emerged. Historically, machines, both analog and digital, have been used to help work environment designers calculate work outputs and automate tasks, a goal now pursued by technology.

Now that AI has taken center stage, managers use the latest advances in different ways, information about the activities of workers and job applicants is stored.

Business goals with machine learning for work development.

The lifetime value of a customer, for example, is essential for e-commerce companies, but it is also applicable in many industries. In this model, organizations use machine learning algorithms to identify, understand and retain their most valuable customers. These value models evaluate massive amounts of customer data to determine who are the biggest spenders, the most loyal supporters, and so on.

It is where, thanks to the learning algorithms, it helps to make decisions to improve the service of the business model and that then some of the processes are more efficient and less expensive.

We must take into account the above information as a reference point on how this technology can provide us with the necessary tools to make our business / function in the most efficient way.

We also recommend you read: Choice and types of Artificial Intelligence (Opens in a new browser tab)