ES

Exploration and innovation

25/01/2024
Smoothing risk: A Machine Learning pipeline for early debt recovery
14/12/2023
Focusing on embeddings: our latest X Project
27/10/2023
Explainability: how do we apply it in BBVA AI Factory?
21/09/2023
The Riddle of the Lancaster House: a hands-on exercise with Mercury-Reels
07/09/2023
Designing strategies to cope with classification problems: a Quick Study
07/06/2023
Four initiatives to drive innovation at AI Factory
14/09/2022
About Program X and why we have been awarded for this initiative
01/08/2022
How to tag data faster using Active Learning
10/11/2021
Teaching machines to assist BBVA financial advisors
05/08/2020
Explaining the reliability of algorithms to humans
24/05/2019
Accelerating Data Science Workflows
10/10/2018
How Data-Driven Initiatives can Save Young Lives
27/07/2018
Finding a Common Vision: Design Fiction to Establish a Dialogue among Business, Data Science and Design in Finance
29/06/2018
An International Football Story: How to Analyze a Collective Game; Individually
11/05/2018
Eurovision 2018. Just Another Excuse to Demonstrate the Value of Data
26/04/2018
No Problem Too Big; No Solution Too (Computationally) Small
13/03/2018
How Kitties Helped BBVA to Detect Credit Card Fraud
25/09/2017
Rediscovering Cities through Credit Card Data (Part 2)
25/09/2017
Rediscovering Cities through Credit Card Data (Part 1)
20/12/2016
Measuring People’s Economic Resilience to Natural Disasters
08/12/2016
Experience Design in the Machine Learning Era