Post by samsparrow74 on Feb 15, 2024 10:45:15 GMT
Artificial intelligence is defined by the decisions made by machines that use this technology. Therefore, Machine Learning is the process through which these devices learn and assimilate how to manage decision making . Collecting data, analyzing variables and obtaining results are tasks included in the learning process, which are very useful for companies. Therefore, this technology presents a series of very interesting applications for any business. However, it is still in full development, and being relatively recent, there is a shortage of professionals capable of handling it in a business environment.
These experts are high-value human resources , since they are the only ones capable of programming their algorithms to implement data analysis. As a consequence, not all companies Malaysia Phone Number List have the means and the power to have their own AI projects . Given this scenario, the usual way to hire AI providers is to resort to independent specialized platforms . data recovery software Thanks to the integration of these technologies, it is possible to practically reduce critical machine failures by half, as well as maintenance costs . On the other hand, the use of Artificial Intelligence serves to increase performance and production by up to 35% , having a positive impact on profits. For all this, Yeeply , one of the digital transformation marketplaces , identifies the most common Machine Learning projects demanded by companies.
This algorithm analyzes the user, taking into account what they see, what they don't see, their scrolling behavior, etc. An example is the catalog of suggestions from platforms like Netflix, which is not common for all users, or social networks like Facebook. The media are also beginning to offer segmented content based on this technology and the tastes of their users. 2. Automation of internal processes . The larger the company, the more processes it can automate. The sector that most often demands this type of projects is the industrial sector, especially logistics and distribution in Spain. A common example would be predictive maintenance, dedicated to monitoring machinery use and collecting data. In this way, based on wear models, you can anticipate failures and optimize maintenance.
These experts are high-value human resources , since they are the only ones capable of programming their algorithms to implement data analysis. As a consequence, not all companies Malaysia Phone Number List have the means and the power to have their own AI projects . Given this scenario, the usual way to hire AI providers is to resort to independent specialized platforms . data recovery software Thanks to the integration of these technologies, it is possible to practically reduce critical machine failures by half, as well as maintenance costs . On the other hand, the use of Artificial Intelligence serves to increase performance and production by up to 35% , having a positive impact on profits. For all this, Yeeply , one of the digital transformation marketplaces , identifies the most common Machine Learning projects demanded by companies.
This algorithm analyzes the user, taking into account what they see, what they don't see, their scrolling behavior, etc. An example is the catalog of suggestions from platforms like Netflix, which is not common for all users, or social networks like Facebook. The media are also beginning to offer segmented content based on this technology and the tastes of their users. 2. Automation of internal processes . The larger the company, the more processes it can automate. The sector that most often demands this type of projects is the industrial sector, especially logistics and distribution in Spain. A common example would be predictive maintenance, dedicated to monitoring machinery use and collecting data. In this way, based on wear models, you can anticipate failures and optimize maintenance.