BBVA AI Factory | LinkedIn (original) (raw)

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Banca

Madrid, Community of Madrid 18.626 seguidores

Construimos productos de IA transformadores en BBVA

Sobre nosotros

La Inteligencia Artificial es la revolución de nuestro tiempo. Nuestro reto es acercar las oportunidades que ofrece la IA a la industria bancaria. BBVA AI Factory opera como un hub global dentro del área de Data de BBVA, con centros de desarrollo en España, México y Turquía. Nuestra misión crear productos basados en IA que resuelvan necesidades de negocio de BBVA. Para conseguirlo, trabajamos en equipos diversos formados por expertos en ciencia de datos, ingeniería de Machine Learning, arquitectura de soluciones, análisis de datos y producto.

Sector

Banca

Tamaño de la empresa

Más de 10.001 empleados

Sede

Madrid, Community of Madrid

Tipo

De financiación privada

Fundación

2019

Especialidades

Data Services & Technologies, Financial Data, Machine Learning, Artificial Intelligence, Innovation, Generative AI, Advanced Analytics, Data Science y ML Engineering

Actualizaciones

• 
  18.626 seguidores
  4 semanas Editado
  🔵 BBVA ranks no.13 in the list of the world’s most advanced banks in #AI adoption, climbing thirteen positions from last year, according to Evident. 1️⃣ BBVA ranks first in Spain and fourth in Europe, and top-10 of both the Talent and Leadership pillars 2️⃣ We also are one of only four banks that have improved in all the areas under assessment with respect to the previous index 3️⃣ The report highlights the bank's adoption of a Group-wide AI strategy, as well as the outstanding professional development opportunities available to its AI experts. 🚀 This recognition encourages us to continue innovating and creating transformative AI-based products. More info: https://lnkd.in/gge4kSb6 #AI #innovation
  
• 
  18.626 seguidores
  10 h Editado
  🌟 This weekend, we had the honor of attending the ACM International Conference on AI in Finance #ICAIF24 in Brooklyn! 🌇 The conference gathered exceptional minds from academia, industry, and regulatory bodies to discuss the impact of #AI and machine learning on the future of finance 💡 We presented two papers that highlight some of our work: 🗣️ In the first presentation, our colleague Santiago Basaldúa introduced Mercury, BBVA’s Python library. Designed to streamline collaboration and efficiency among data scientists, Mercury addresses the challenges of developing and deploying predictive models in finance. Our goal is to make machine learning workflows more agile and scalable 🚀 🪐 📄 You can find the paper here: https://lnkd.in/gwq-6ZB3🗣️ In the second presentation, our colleague Álvaro Ibraín Rodríguez discussed how we are addressing the challenge of forecasting financial transactions for retail customers. We proposed innovative preprocessing algorithms designed to identify recurring patterns in transactional data. This unsupervised approach simplifies the tasks of predicting the "next date" and "next amount." By disentangling overlapping patterns and eliminating non-recurrent noise, we enhance the accuracy of our predictions for real-world applications 🔍📊 📄 And here you can find the paper: https://bbva.info/4hWMV6HA big thank you to the ICAIF organizers and everyone we had the chance to engage with during the event. Here’s to continued collaboration and growth in AI-powered finance! 🤝
  
• 📣 Public service information! Stay tuned about the key submission deadlines for some of the most prestigious conferences in #datascience and #AI. Don’t miss the chance to present your work! International Joint Conferences on Artificial Intelligence (IJCAI) 🗓 Date: 16 August 2025 📍 Location: Montreal, Canada 📄 Paper abstract: 16 January 2025 📄 Full paper: 23 January 2025 🔗 https://bbva.info/3YOMt1BInternational Conference on Machine Learning (ICML) 🗓 Date: 13 July 2025 📍 Location: Vancouver, Canada 📄 Paper abstract: 23 January 2025 📄 Full paper: 31 January 2025 🔗 https://bbva.info/3Az2QHMThe annual meeting of the Association for Computational Linguistics (ACL) 🗓 Date: 27 July 2025 📍 Location: Vienna, Austria 📄 Full paper: 15 February 2025 🔗 https://bbva.info/3Cqal46We will keep you updated with the dates for more conferences 🤝
  
• 💡 #AI is everywhere – should we all understand it? It's becoming increasingly challenging to stay updated with the latest technological developments. These advancements are now being integrated into various industries where they were not previously utilized. This trend prompts the important question:
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• 🤳 ¿Te has encontrado con esta pantalla en tu app de BBVA? A través de cuestionarios como este, recopilamos los comentarios de nuestros clientes para entender mejor sus dudas y expectativas. Analizamos esta información mediante un sistema que utiliza procesamiento de lenguaje natural y «transformers», lo que nos permite clasificar los comentarios por temática y evaluar su sentimiento 🙂 🙃 💡 Gracias a este proceso, transformamos el feedback disperso y fragmentado en una fuente de conocimiento estructurada y accionable. Esto representa un cambio en la manera en que escuchamos a nuestros clientes y respondemos a sus necesidades 🤝 Si quieres saber más sobre cómo funciona este sistema de análisis de feedback y conocer un caso de uso real, te invitamos a leer nuestro último artículo ▶️ https://bbva.info/3V9O4OP
  
• 
  18.626 seguidores
  1 semana
  🗣️ Customer feedback is important to us. Gathering quantitative feedback allows us to determine whether customers are satisfied with our services. However, collecting and analyzing qualitative feedback lets us shed light on the “what” behind the likes! At BBVA, we have developed a system that translates customer feedback into actionable insights. This technology uses advanced #NLP and transformer models to help us identify recurring key themes and sentiments in the comments users leave in our app. ✨ This system now powers a real-world application: personalized push notifications sent directly to customers who’ve shared feedback on the app’s financial health section 🤳 Want to learn how we achieved it? Dive into our last article, check out our methodology, and see how we’re turning insights into action 🤸 🔗 https://bbva.info/3YAlKpG
  Customer insights extraction with transformers and NLP - BBVA AI Factory
• 
  18.626 seguidores
  2 semanas Editado
  🎙️ En el último episodio de Blink, podcast de BBVA, contamos con un invitado especial: Ignacio Teulon, nuestro responsable en Global AI Factory. Nacho comparte cómo, desde nuestros hubs en España, México y Turquía, estamos desarrollando soluciones globales que abordan desafíos comunes en distintas regiones 🌎 Escucha el episodio completo para descubrir en detalle el trabajo de nuestro equipo, así como el impacto estratégico de la #IA en BBVA, que influye tanto en nuestros procesos internos como en la experiencia de nuestros clientes. 💙 BBVA Podcast: https://lnkd.in/dSg_bDjx💚 Spotify: https://lnkd.in/dxndS99v🧡 Ivoox: https://lnkd.in/d2bczX_z
  
• 
  18.626 seguidores
  2 semanas Editado
  🎉 A huge congrats to our esteemed colleague, Alberto Hernández Marcos, for publishing a fascinating paper in Nature Magazine. Your dedication and expertise continue to inspire our entire team 🫂
  
  Head of GenAI Lab - AI Factory
  2 semanas Editado
  I’m thrilled to share that my paper, “A generic self-learning emotional framework for machines,” was just published in Nature - Scientific Reports, presenting the findings from a three-year research project in collaboration with the University of Granada. In it, we introduce the LOVE (Latest Observed Values Encodings) framework and test it on Reinforcement Learning agents. You can access the full paper here (open access):https://lnkd.in/gVc6mFuQAs our interactions with “intelligent machines” become more and more common, the concept of “agent” will soon jump from business and academic circles into everyday language, much like the “internet” or “smartphone” once did. And as we shape a vision for how these agents should interact with our families, clients, or ourselves, the emotional dimension of human-machine interactions takes on more importance. Words like “empathy”, “care”, “patience” or “sensitivity” will more frequently show up during the design and testing of AI-powered services. We want the machine not only to understand what we want, but also to share how we feel, and act accordingly. We expect empathy. As AI pioneer Marvin Minsky once said: “The question is not whether intelligent machines can have any emotions, but whether machines can be intelligent without any emotions.” Fair enough, but current emotion-detection tools only get us halfway there by focusing on human emotions, without addressing the integration of emotions within the “cold logic” guiding an agent. As developers, we are missing a clear “handbook” from neuroscience or psychology to guide us in programming these complex emotional dynamics. The framework presented here aims to bridge this gap and bring us closer to emotionally intelligent agents that think and act more like us. I hope you find it inspiring!
  

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