Machine Learning (ML) Machine Learning is a subset of artificial intelligence that allows systems to automatically learn and improve from experience. Using algorithms, Machine Learning systems analyze data, identify patterns, and make decisions based on pre-configured information. With this “learning,” Machine Learning becomes a powerful tool for solving problems and improving processes in various sectors.
Examples of Practical Applications
Medical diagnosis
In the healthcare sector, Machine Learning adds a lot of value in diagnosing diseases. According to Health Business, “machine learning” is one of the changes that is advancing the most in the medical field.
User Experience Personalization
E-commerce and streaming companies can leverage Machine Learning to personalize the user experience. YouTube, for example, recommends videos based on the user's history and behavior within the platform. The Free Market recommends products based on the same principle.
Fraud Detection
In the financial sector, ML analyzes transactions in real time, identifying suspicious patterns and creating alerts for potential fraud. This helps reduce financial losses for large banks and credit card companies while protecting their customers.
These are just a few examples, as reported on the portal IT INSIDE Online, according to Grand View Research, these personalized experiences are expected to grow by around 17.5% per year, until 2028.
What to do in the absence of Machine Learning experts?
However, not all structured businesses have certified professionals and experts in Machine Learning. With a consultancy like Digievo, which specializes in software and Artificial Intelligence (AI), you can allocate these professionals without having to worry about recruitment and training. In addition, you can focus your team and efforts on your core business, expanding the desired results.
Talk to us now Digievo and have highly qualified professionals in up to 7 days in your project!
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