ENBIS-23 Valencia Conference

Data Science and Statistical Machine Learning in Industry 4.0: Personal Reflections

11 Sept 2023, 13:30

20m

Auditorium

Data science CONTRIBUTED Machine Learning 1

Speaker

Alberto J. Ferrer-Riquelme (Universidad Politecnica de Valencia)

Description

Data Science has emerged to deal with the so-called (big) data tsunami. This has led to the Big Data environment, characterized by the four Vs: volume, variety, velocity, and veracity. We live in a new era of digitalization where there is a belief that due to the amount and speed of data production, new technologies coming from artificial intelligence could now solve important scientific and industrial problems solely through the analysis of empirical data, without the use of scientific models, theory, experience, or domain knowledge. In this talk I will discuss on the risk of this belief and on some insights about statistical machine learning, that is, the integration of machine learning with statistical thinking and methods (mainly latent variables-based) to succeed in problem solving, and process improvement and optimization in Industry 4.0.

Ferrer, A. (2020). Appl Stochastic Models Bus Ind., 36:23–29.
DOI: 10.1002/asmb.2516