Stratio's Predictive AI Anticipates Vehicle Breakdowns
Daniel Johnson — June 27, 2019 — Autos
References: stratioautomotive & techcrunch
The startup Stratio is using predictive AI to monitor when vehicle maintenance is needed. Transportation industries have to spend significant resources on vehicle maintenance, approximately $200 billion a year. With the artificial intelligence Stratio, this cost could be greatly reduced. This works with machine learning that uses data from millions of different vehicles. This data is then used by an AI algorithm to predict when vehicles will break down, so that maintenance can be provided before damage is done to the vehicle.
The system works by putting a sensor under the vehicle, called the 'STRATIO.DATABOX.' This sensor can connect to the vehicle and predict within a few days when the vehicle will break down. The technology is powered by an AI engine titled the 'Stratio CortexTM.' Strato's predictive AI is currently available, and the company has announced it will be sharing many of its findings on June 6th at TU Automotive Detriot.
The system works by putting a sensor under the vehicle, called the 'STRATIO.DATABOX.' This sensor can connect to the vehicle and predict within a few days when the vehicle will break down. The technology is powered by an AI engine titled the 'Stratio CortexTM.' Strato's predictive AI is currently available, and the company has announced it will be sharing many of its findings on June 6th at TU Automotive Detriot.
Trend Themes
1. Predictive AI Vehicle Monitoring - The use of predictive AI to monitor vehicle maintenance needs, reducing costs for transportation industries.
2. Machine Learning for Predicting Vehicle Breakdowns - Using data from millions of different vehicles to create a machine learning algorithm for predicting vehicle breakdowns and reduce maintenance costs.
3. Sensor-based Vehicle Maintenance - The implementation of sensor-based vehicle maintenance systems to predict and prevent breakdowns, improving overall vehicle efficiency.
Industry Implications
1. Transportation - The transportation industry can adopt predictive AI to reduce costs on vehicle maintenance and improve operational efficiency.
2. Automotive Manufacturing - Automotive manufacturers can integrate sensor-based vehicle maintenance systems to enhance the reliability of their products and services.
3. Ai/machine Learning - Developing AI and machine learning technology for predictive vehicle maintenance can create disruptive opportunities in the automotive and transportation industries.
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