The curse of IROPs (A gentle overview, part 1)
Damir ValputJan 14, 2020
Category Archives: Data Management
Data Analytics, Data Infrastructures, Data Management, Data Protection, Data Visualisation, Environment, Ideas, Performance, Safety
Datascience.aero 2019 report
Inés GómezDec 19, 2019
Paula Lopez
What to do when your Data Lake growths out of control
Samuel CristobalOct 15, 2019In the past, most companies stored their data in relational databases distributed across departments silos; e.g., marketing data and operations data were stored independently. For a while, that approach worked fine, as...
Antonio Fernandez
Machine Learning is more than loss minimisation
Darío MartínezJun 27, 2019When you start learning and working on machine learning problems, you usually think that the most important machine learning skill to master is training the best model performing model. You learn and apply...
Evolving “DevOps” to “AIOps” in your data platform
Darío MartínezMay 22, 2019The need for cutting-edge Data Platforms Data Platforms are crucial for enabling true digital transformation. They continuously evolve by adopting new, cutting-edge technologies, often via cloud virtualization. These rapid changes require a shift in focus to...
Data Science to improve operations: Fuel efficiency optimization
Lara MoroApr 11, 2019Nowadays, as with society as a whole, aviation is aware and concerned about the environment. In a business-as-usual scenario, predicted traffic growth in this sector would lead to an increase of global...
The scientific method of machine learning
Samuel CristobalMar 29, 2019The scientific method and reproducibility The scientific method has been around since at least the 17th century, if not earlier. It appeared as an empiric approach to acquiring knowledge and has driven the development...