10 posts found
AI Data Readiness: Preparing Data for Artificial Intelligence
Over the last few years we have seen spectacular advances in the use of artificial intelligence (AI) and, behind all these achievements, we will always find the same common ingredient: data. An illustrative example known to everyone is that of the language models used by OpenAI for its famous ChatGP…
From data strategy to data governance system (part 1)
More and more organisations are deciding to govern their data to ensure that it is relevant, adequate and sufficient for its intended uses, i.e. that it has a certain organisational value.
Although the scenarios are often very diverse, a close look at needs and intentions reveals that many of these…
From data strategy to data governance system (part 2)
In the first part of this article, the concept of data strategy was introduced as the organisation's effort to put the necessary data at the service of its business strategy. In this second part, we will explore some aspects related to the materialisation of such a strategy as part of the design or…
FAIR principles: the secret of the data wizards.
Books are an inexhaustible source of knowledge and experiences lived by others before us, which we can reuse to move forward in our lives. Libraries, therefore, are places where readers looking for books, borrow them, and once they have used them and extracted from them what they need, return them.…
The most popular network analysis tools
Two decades ago they did not exist, but in recent years, social networks have become an important part of our lives. 29 million Spaniards actively use these services, according to data compiled by EPData. On average, users spend almost 2 hours a day connected to them.
This data makes social networks…
The most popular data visualization tools
Data is a fundamental pillar in business decision making. Before making any decision, it is necessary to analyze the situation to understand the context and envision possible alternatives. And for this it is necessary to present the data in a clear and understandable way.
Data analysis is useless if…
The most popular data analysis tools
Data analysis is a process that allows us to obtain knowledge of the underlying information of the data, with the purpose of drawing conclusions that allow us to make informed decisions. Without data analytics, companies and organizations are limited in examining their results and determining the di…
The most popular data conversion and data cleaning tools
When carrying out a data analysis project, it is usual to work with different sources, which in many cases include datasets with Heterogeneous formats and structures that do not always share the same quality. Therefore, one of the first phases in any data analysis process is known as data cleaning.…
The Juan March Foundation, a pioneer in the use of data science applied to culture
Data science is reaching all sectors, from agriculture to health, tourism or transport. And culture, as illustrated by the DataLab of Juan March Foundation, a knowledge laboratory that not only seeks to manage and disseminate the contents from the Library, but also extracts valuable information that…
Artificial intelligence impact on business value chain
The commercial adoption of any new technology and, therefore, its incorporation into the business value chain follows a cycle that can be moulded in different ways. One of the best known models is the Gartner hype cycle. With regard to artificial intelligence and data science, the current discussion…
