Check out 4 advantages of applying machine learning in your company

A culturedata driven, that is to say, with a management based on data orientation, ensures competitive advantage, speed in decision-making and revisions of previously defined strategies. In this way, themachine learning – subset of Artificial Intelligence that allows systems to learn from data, identifying patterns and making predictions without relying on pre-programmed rules – it is one of the tools that contributes to the entire process. 

Douglas Costa, CTO of Deal Group, technology services consulting, claims that machine learning has become essential for companies. The projections reinforce your thesis: theGartnerpointed out that 75% of companies will invest in some way in machine learning in 2025. 

Machine learning algorithms evolve as they are exposed to more information. Today, it is already widely used in sectors such as e-commerce, finance, in fraud detection, in addition to optimizing production chains and providing personalized recommendations in various activities, score Douglas. It also explains that machine learning processes data on a large scale and at high speed, generatinginsightspreviously impossible to reach manually. "When using the data", companies can increase efficiency, improve customer experience and drive innovation, comment

To emphasize the importance of machine learning, the expert highlights 4 advantages of use in companies

1. Automates processes by reducing repetitive and manual tasks: "Time is gained for the team to focus on more strategic activities that require intellectual efforts", evaluate Douglas.  
2. Accurate forecasts: machine learning data anticipates market trends, future demands and consumer behaviors. 
3. Decisions based on information: "it becomes feasible to convert raw data intoinsightsactionable, that underpin more effective and agile decisions.  
4. Personalized experience: with machine learning it is possible to offer a more relevant and individualized customer journey.  

The executive makes a note: "The models are only as good as the information they are fed, however incomplete or biased information can lead to inaccurate or harmful results. Therefore, it is necessary to be careful in the approach to ensure integrity and security, with solutions that validate the quality of information and protect systems against digital threats, закінчує КТО.