Raúl Carretero Bermejo

Nov 5, 2024 | medium.com | Raúl Carretero Bermejo

Picture taken in Aotearoa New Zealand. AI/ML Ethics & FairnessRaul Bermejo·FollowPublished inVersent Tech Blog·5 min read·--In the last blog post, we explored some of the aspects that are addressed by MLOps, including scalability, governance, deployment and reproducibility. We learned about the importance of the AI/ML Lifecycle and its stages: business problem framing, data processing, model development, deployment and monitoring.

Sep 27, 2024 | dialnet.unirioja.es | Alberto Hernandez |Alberto Hernández |Laura Sanchez |LAURA SÁNCHEZ |Raúl Carretero Bermejo |Virginia Domingo Cebrián

Ayuda Buscar en la ayuda Buscar en la ayuda Creencias sexistas del alumnado y sus familias de un IES rural de la provincia de Teruel Nolasco Hernandez, Alberto [1] ; Gracia Sánchez, Laura [1] ; Carretero Bermejo, Raúl [2] ; Domingo Cebrián, Virginia [1] [1] Universidad de Zaragoza [2] Universidad de Castilla la Mancha Localización: Publicaciones: Facultad de Educación y Humanidades del Campus de Melilla, ISSN 1577-4147, Vol. 54, Nº. 1, 2024, págs. 117-155 Idioma: español Títulos paralelos:...

May 27, 2024 | medium.com | Raúl Carretero Bermejo

An experiment ( demo_fraud-detection in the image above) should represent a business problem (or a part of one) to be solved by an AI/ML model. The business goal should ideally be scoped previously in the Business Goal Framing section of the AI/ML lifecycle. For a more detailed description, see the previous part of this blog series:Within an experiment, we will compare different AI/ML approaches so we can deliver the most suitable.

Apr 11, 2024 | medium.com | Raúl Carretero Bermejo

Machine LearningPart 1 — What is MLOpsIn recent years, the tech industry has rapidly adopted AI-driven innovation. Across various sectors like entertainment, HR, legal, financial, and agriculture, Artificial Intelligence and Machine Learning (AI/ML)* algorithms have become pivotal drivers of business growth. Moreover, recent breakthroughs in Generative AI (GenAI) have expanded the spectrum of use cases, ranging from smarter chatbots to enhanced content and code creation tools such as Chat-GPT.

Nov 2, 2023 | medium.com | Raúl Carretero Bermejo

The tech industry is rapidly embracing the importance of data-driven decisions, which has proven to accelerate scalability and agility in software delivery. However, as companies wade through oceans of data, extracting the nuggets of valuable information can be a daunting task. At the beginning of their data journey, organisations lack the digital infrastructure to extract value from data.