My-TRAC
Research and development of user-centred services to improve the passenger experience on door-to-door multimodal journeys.
Use cases
From urban mobility to genomics: this is how AIR-Core (formerly Deep Intelligence) has been used to turn data into decisions.
Research and development of user-centred services to improve the passenger experience on door-to-door multimodal journeys.
Cognitive services for IoT-based scenarios. It meets the demands of the new industrial revolution by applying IoT and semantic, cognitive artificial intelligence.
A smart feeding system, based on a virtual organization of agents, that processes the data and regulates the grain the animals receive. Measurements on a rabbit farm show that it reduces waste, disease and mortality.
It automates the genetic analysis workflow and can help with diagnosis. In next-generation sequencing (NGS), it provides the standardized process clinicians and researchers need to get clear, complete information.
Proposal of potential routes for an airline: choosing the best route and optimizing flights from hundreds of macroeconomic variables.
AIR-Core use cases in this field:
AIR-Core use cases in this field:
AIR-Core use cases in this field:
AIR-Core use cases in this field:
AIR-Core use cases in this field:
AIR-Core use cases in this field:
Your case
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Patterns, segments and relationships between variables.
Demand, risks, consumption or times, with an explanation.
Anomalies and out-of-the-ordinary values.
Shareable dashboards and timely alerts.
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