Machine learning or ̈ machine learning ̈ is a form of AI that allows machines/systems to learn without being previously programmed. This is an indispensable ability to make systems capable of identifying patterns among data and making predictions. The process involves the algorithm absorbing training data to reproduce more accurate models.
At Zagitas we facilitate the incorporation of machine learning to meet business objectives and drive digital transformation, improving user experience and increasing the productivity of your collaborators.
Benefits of Machine Learning
Enables intelligent customer service centers, improving the customer experience.
Generates personalized responses that increase customer loyalty and engagement across different communication channels.
Processes and analyzes documents and forms automatically.
Searches for information 10 times faster than a traditional text search.
Data science is a multidisciplinary approach that refers to the areas of statistics, scientific methods and data analysis, the same allows to extract meanings and insights from data. The goal of data science is to take advantage of large volumes of data by applying the type of analysis, algorithm and model that is needed for each moment, making decisions based on them.
Data science encompasses preparing data for analysis and processing, performing advanced data analysis, and presenting the results to reveal patterns and enable stakeholders to draw informed conclusions.
At Zagitas we are specialists in Data Science tools, making the most of information from different sources to directly impact the business.
Advantages of incorporating Data Science
Personalize experiences with predictive information, augment human intelligence with machine-generated insights quickly and accurately.
Optimize operational decisions: use technology to obtain predictive insights and eliminate uncertainty in operational aspects.
Eliminate bias and protect AI with explainability: Use explainable AI and supervision to trust modeling decisions and mitigate the risks of AI bias and fraud.