In this whitepaper, Amadeus and Microsoft explore how AI agents and modern data platforms are improving travel at every stage.
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Explore bold ideas, lead with cutting-edge tech, build powerful partnerships, and contribute to lasting impact.
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Our partnership with Microsoft accelerates our Cloud journey and unlocks new, AI‑powered innovations that strengthen and elevate the travel industry.
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Learn how this collaboration strengthens Amadeus' multi-cloud approach and AI innovation to improve efficiency, reliability and growth in travel.
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From AI-driven planning and biometric check-ins to smarter disruption management.
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Amadeus, in collaboration with Globetrender, unveils the tech, policy and innovation coming to transform the face of travel.
Discover nowLearn how we’re working to make travel a force for good.
Driving integration, scalability, trust and integrity across the travel industry.
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Faster detection of problems followed by rapid restoration of services.
Open Observability Platform allows for the faster detection of problems and anomalies (MTTD), followed by the rapid restoration of services in the event of a failure (MTTR).
This process implements tools for aggregating and analyzing metrics to provide visualizations for the Open Observability Platform. Through this tool integration, external users can view external metrics, logs, and other observability data.
Link together data of different types (logs, metrics & events) from various sources to create a uniform view.
A connection to all relevant data sources
Aggregation of the data along different axes
User interface in which users can control and monitor the connection and aggregation
Build a common visualization for all types of data (logs, metrics and events) by extending the open source project Perses.
The integration of external metrics and logs is necessary to create end-to-end monitoring. Since this involves external data from potentially unsafe sources, the data must be cleaned before integration into the Open Observability Platform to exclude possible attack vectors.
End-to-end monitoring for external users makes data from the Open Observability Platform available to external users. This includes defining the necessary interfaces as well as the required security protocols and monitoring to prevent the leakage of sensitive data.
A joint initiative to building the EU's next‑gen cloud migration platform.