136 documents found
Guide to generating synthetic data: an indispensable tool for innovation and data protection
The Spanish Data Protection Agency has recently published the Spanish translation of the Guide on Synthetic Data Generation, originally produced by the Data Protection Authority of Singapore. This document provides technical and practical guidance for data protection officers, managers…
- Guides
Guidance for the deployment of data portals. Good practices and recommendations
Open data portals help municipalities to offer structured and transparent access to the data they generate in the exercise of their functions and in the provision of the services they are responsible for, while also fostering the creation of applications, services and solutions that generate value…
- Guides
Chatting with Public Data: A Practical Application of Artificial Intelligence
Open data portals are an invaluable source of public information. However, extracting meaningful insights from this data can be challenging for users without advanced technical knowledge.
In this practical exercise, we will explore the development of a web application that democratizes access to…
- Data exercises
From theory to practice: creating a RAG-based conversational agent.
Introduction
In previous content, we have explored in depth the exciting world of Large Language Models (LLM) and, in particular, the Retrieval Augmented Generation (RAG) techniques that are revolutionising the way we interact with conversational agents. This exercise marks a milestone in our…
- Data exercises
Word Embeddings - Practical Exercise on Tag Processing
Open data portals play a fundamental role in accessing and reusing public information. A key aspect in these environments is the tagging of datasets, which facilitates their organization and retrieval.
Word embeddings represent a transformative technology in the field of natural language…
- Data exercises
A practical introductory guide to exploratory data analysis in Python
The following presents a new guide to Exploratory Data Analysis (EDA) implemented in Python, which evolves and complements the version published in R in 2021. This update responds to the needs of an increasingly diverse community in the field of data science.
Exploratory Data Analysis (EDA)…
- Guides
Tourism in Spain: Analyzing National Tourist Flows Using Interactive Visualizations
1. Introduction
Visualizations are graphical representations of data that allow for the simple and effective communication of information linked to them. The possibilities for visualization are very broad, from basic representations such as line graphs, bar charts or relevant metrics, to…
- Data exercises
Municipal Innovation through Open Data: Solutions to make municipal services more accessible
The digital revolution is transforming municipal services, driven by the increasing adoption of artificial intelligence (AI) technologies that also benefit from open data. These developments have the potential to redefine the way municipalities deliver services to their citizens, providing tools to…
- Reports and studies
How to use OGC APIs to enhance geospatial data interoperability
In a world where geospatial information is crucial to address global challenges such as climate change and natural resource management, interoperability and the creation of standards are essential. Interoperability facilitates collaboration between organisations, drives innovation and ensures that…
- Guides
How to Create an Expert Assistant with Open Data: Building GPT to Answer the Critical Minerals Challenge
1. Introduction
In the information age, artificial intelligence has proven to be an invaluable tool for a variety of applications. One of the most incredible manifestations of this technology is GPT (Generative Pre-trained Transformer), developed by OpenAI. GPT is a natural language model…
- Data exercises
