The importance of machine learning already reaches all aspects of life and aims to help proactively and efficiently meet human needs.
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Machine learning (ML) is a branch of artificial intelligence (AI) based on the use of algorithms to give machines and computers the ability to identify patterns in different data sets in order to make subsequent predictions; this technology seeks to mimic the way humans learn by gradually improving their accuracy.
In this way, ML enables computers to perform specific autonomous tasks without the need to be programmed. This learning capacity can be seen reflected in the improvement of search engines, medical diagnostics, fraud detection in online payment mechanisms and the management of printer needs in automatic supply contracts, to give just a few examples. This technology is not only having a great importance in the present, the trend is to continue improving its use in the future thanks to its impact on efficiency and therefore in the improvement of the necessary sustainability in the different processes within large, medium and small companies, and also among individuals. This need has recently become evident with the current energy crisis. Experts believe that the energy and resource crisis can only be overcome by identifying and eliminating all unnecessary consumption.
But how does it really work?
Machine learning is composed of different types of learning models. Depending on the result we want to obtain and the nature of the data to be analyzed, one of three types can be used: supervised, unsupervised or reinforcement. ML algorithms are typically trained to classify, find patterns, predict outcomes or for informed decision making, offering potential value to companies trying to leverage big data and help them better understand subtle changes in behavior, preferences, or customer satisfaction.
Business leaders are beginning to discover that many things that are happening within their organizations and industries cannot be understood through a simple query, so they are increasingly demanding that newly implemented software use an ML engine. For this reason, Nubeprint is the most valued MPS and consumables delivery automation software on the market. Nubeprint has an expertise in using machine learning since 2015 and has achieved savings to printer and consumables distributors in excess of 30%. Nubeprint is the only MPS tool that uses machine learning technology.
Source: Commerce.accelerapyme, Nubeprint
