Explaining the reliability of algorithms to humans

Jose Antonio Rodriguez Serrano

Data Processing

Machine learning systems have a problem: they are imperfect and can sometimes err. And we humans have a problem too: we are not yet used to working with imperfect results. In 2018, coinciding with the Football World Cup, a company ventured to forecast the probabilities of each team becoming champion -the original report is not available but you can still …

What we saw (and what we showed) at KDD 2019

Jose Antonio Rodriguez Serrano and Axel Brando

AI Factory was there

One of our first and most successful applications of machine learning to a retail financial tool included in the BBVA app is that which allows customers to know a forecast of recurring expenses and incomes for next month. Knowing what day you will receive the car insurance charge or a recurring transfer -and its amount- is key to manage your …

Bayesian Deep Learning meets Google Cloud for a better forecasting engine at BBVA

Jairo Mejía

Data Processing, News&References

BBVA Data & Analytics have just published a white paper in partnership with Google Cloud that showcases an end-to-end solution to deploy to production a Deep Learning model for time series forecasting. The model incorporates uncertainty of the predictions, which, we believe will have a powerful impact on improving the customer experience of products such as BBVA’s expected expense tracker …