Category Archives: Data Analytics
Predictive Maintenance: How necessary are aircraft checks?
One of the main challenges in aviation is to reduce costs and delays, while maintaining or improving current safety levels. A large percent of these costly delays are a result of unplanned...
Evidence Based Training: time to change traditional pilot training
Aircraft engineering development has improved significantly in the last several decades. And though aircraft configuration, navigational systems or commercial pressures have changed accordingly, pilot training has remained the same. This training is not...
Do agile methodologies fit in data science environments?
Extracting knowledge from data involves ingesting raw data and preparing it before training a Machine Learning model to validate and deploy it. Apart from requiring base knowledge in fields such as programming...
The weak case for Trusted Third Parties in Data Science
Trusted third parties are sought-after when confidential data needs to be managed. We’ve covered this in the Datascience.aero blog before. A trusted third party is an entity that collects confidential information, normally privacy...