Misconceptions about the future of Automotive Maintenance
Learnings from industry front-runners – starting with the five most common misconceptions about leveraging artificial intelligence to automate maintenance.
What is the real cost of Vehicle Downtime
To achieve greater customer satisfaction and solid financial goals, operators need to be able to quantify how much downtime costs. Stratio sheds light into measuring the most challenging calculation impacting truck and bus operators worldwide.
8 Lessons we learned on building a Machine Learning Platform
When talking with large organizations in the automotive industry a recurring and fair question turns up: what’s stopping us from building our own machine learning platform?
Model performance evaluation for Vehicle Anomaly and fault Detection
To understand how we assess model performance quality we need to introduce the metrics True Positive Rate (TPR) and FFPR (False Positive Rate).
En este artículo nuestro Software Quality Assurance Engineer explica el papel crucial de gestión de cualidad en el software en Stratio.
Desde el inicio que la visión de Stratio es de construir un futuro sin paradas forzadas. Cómo se imagina, eso no es una tarea fácil.
We, at Stratio, are working on a scalable framework to quickly deploy anomaly detection models for vehicle prognostics.
The Head of Hardware Development and Embedded systems at Stratio shares with you the most common topics hardware engineers have to deal with in the path of bringing great products to life.
Stratio-AI Framework: a new Stratio Machine Learning approach
Introducing a complete machine learning framework that intends to break down the traditional monolithic end-to-end machine learning development into a distributed, modular, and scalable approach.
One might think vehicle reliability is rapidly improving. Unfortunately, little could be further from the truth.
The coronavirus crisis is a story with an uncertain ending. What is clear by now is that the human impact is already tragic and that the economic impact will severely affect the industry.
On the news
Web Summit | Central Stage @ Opening Night
Stratio’s President & COO Rui Sales presenting the vision for a zero downtime future on the central stage of the opening night at the Web Summit.
Project was part of a RTP 1 series of programs featuring companies that adjusted successfully to the 2020 lockdown and crisis.
This data is “continuously analysed by Stratio’s proprietary machine-learning algorithms, and according to fault detection rules created by automotive engineers”. The algorithms “continuously learn from new incoming data and extracted insights”, identifying faults in real time.
It has a proprietary AI engine, Stratio CortexTM, and technology support from the European Space Agency. Ultimately the aim is to apply machine learning models and enable the so-called “zero downtime” future.
The company is bridging machine learning with vehicles in order to extract meaningful data by analyzing a large number of touch points in one vehicle on a day-on-day basis.
In today’s world, we hear a lot about intelligent vehicles that tell you when they are breaking down. But, we always keep thinking that when this technology becomes real? Yes, it is going real with Stratio Automotive.
The goal, according to Rui Sales, president and chief operating officer, is to make the coming electric and autonomous cars as maintenance- and failure-free as possible by analyzing the data they produce.
Jornal das Oficinas
Stratio Platform has more than doubled the total amount of users and grew 130% in the number of new users in between January and April 2020.
Stratio created a Guide for Trucking Companies to respond to the Covid-19 Crisis. focusing on optimising operations to increase productivity.
Pesados e Mercadorias
Stratio Platform has more than doubled the total amount of users and grew 130% in the number of new users in between January and April 2020. Several companies began working with Stratio during this time to allow for the remote control of their operations.