raquel lazcano
Raquel Lazcano
R&D Team Leader
Madrid

Publications

Unlocking efficiency with Marketplace Assets: a case study on FAME Marketplace

FAME's project blog
In today’s ever-changing technological landscape, companies are constantly looking for innovative ways to increase efficiency and minimize costs, and even more nowadays with the advent of artificial intelligence and large language models.

C4 Model: A Research Guide for Designing Software Architectures

8th International Conference on Software and System Engineering (ICoSSE 2025), Nice, France
Given nowadays increasing complexity of software systems, their architectural design prior to their actual implementation becomes quite complicated.

Preserving data privacy in Machine Learning pipelines with Federated Learning

FAME's project blog
The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data.

Flexible robots for intelligent automation of precision agriculture operations

CORDIS - EU Research Results
Artificial intelligence helps coordinate precision agriculture tasks

Leveraging Large Language Models for Financial Predictions

FAME project blog
In the world of finance, where every decision can have significant ramifications, the possibility of predicting market movements is invaluable. Traditionally, analysts have relied on a combination of data analysis, market trends, and expert insights to make informed predictions.

Fostering Agricultural Transformation through AI: An Open-Source AI Architecture Exploiting the MLOps Paradigm

MDPI Agronomy Journal
As the global population is expected to reach 10 billion by 2050, the agricultural sector faces the challenge of achieving an increase of 60% in food production without using much more land.

FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance

IEEE
Due to its multivariate and multipurpose use and reuse, data’s worth is dramatically increasing, leading to an era characterized by the generation of data marketplaces towards accessing, selling, sharing, and trading data and data assets.