BBVA AI Factory | Articles on Innovation - BBVA AI Factory
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Innovation

10/07/2024
Our approach to human data annotation in the age of Gen AI
21/05/2024
Large Language Models beyond dialogue
11/04/2024
Conformal Prediction: An introduction to measuring uncertainty
20/03/2024
Embeddings in action: behind daily life
06/03/2024
From business to data: boosting AI teams
30/01/2024
Smoothing risk: A Machine Learning pipeline for early debt recovery (executive summary)
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
08/11/2022
How to attract and keep talent in Data?
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
15/03/2022
Balancing the weight of variables in a decision tree
10/11/2021
Teaching machines to assist BBVA financial advisors
30/06/2021
Who will validate my model? How to apply peer review to Data Science projects
05/08/2020
Explaining the reliability of algorithms to humans
08/07/2019
Agent-based default propagation: adding politics to default propagation in the economy
24/05/2019
Accelerating Data Science Workflows
17/01/2019
A few Recommendations for a Data Scientist who wants to get started in Recommender Systems
06/11/2018
Financial Text Classification: Methods for Word Embedding
10/10/2018
How Data-Driven Initiatives can Save Young Lives
01/10/2018
Self-Service Performance Tuning for Hive
13/09/2018
Improving Predictions in Deep Learning by Modelling Uncertainty
31/08/2018
What Will the Bank of the Future Look Like?
10/08/2018
Fairness by Design in Machine Learning is Going Mainstream
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
03/05/2018
Training, an Essential Perk to Retain a Data Scientist Profile
26/04/2018
No Problem Too Big; No Solution Too (Computationally) Small
17/04/2018
Adding fairness to dynamic pricing with Reinforcement Learning
13/03/2018
How Kitties Helped BBVA to Detect Credit Card Fraud
27/02/2018
Client2vec, finding a better way to understand client’s preferences
10/10/2017
It is Not About Deep Learning, But Learning How to Represent
25/09/2017
Rediscovering Cities through Credit Card Data (Part 2)
25/09/2017
Rediscovering Cities through Credit Card Data (Part 1)
28/12/2016
Pricing Strategy Optimization Considering Customer Sensitivity
20/12/2016
Measuring People’s Economic Resilience to Natural Disasters
08/12/2016
Experience Design in the Machine Learning Era
08/12/2016
There is no Such Thing as a Certain Prediction