Data science is an interdisciplinary field that combines techniques and tools from statistics, mathematics, computer science and business domains to extract knowledge and value from data. The goal of data science is to discover patterns, trends and relationships in data that enable informed decisions and solve complex problems in different areas, such as medicine, biotechnology, marketing, industry, among others.
It deals with processing data in various structured or unstructured forms which is usually the continuation of the fields of statistical data analysis.
Data science involves a series of steps from data collection and cleaning, through exploratory analysis, modelling and evaluation, to communication and presentation of results. A variety of data analysis techniques and tools are used, such as data mining, machine learning, data visualisation, and others.
Big data analytics is the process of analyzing large and complex data sources to uncover trends, patterns, customer behaviors, and other data sources [...]
Read More »Today we are going to explain the differences between a traditional CRM (Customer Relationship Management) and an intelligent CRM by applying technology that [...]
Read More »Artificial Intelligence is transforming the way in which companies relate to their customers, how work is managed, the way they work, the way in which [...]
Read More »Fernando Pavón, CEO of Gamco and expert in Artificial Intelligence applied to business explains to us in the AceleraPYMES cycle how small companies can [...]
Read More »