Turkish Airlines innovates with Red Hat OpenShift AI
Turkish Airlines· TürkiyeRed Hat OpenShift AI · Dremio
Turkish Airlines' technology company, Turkish Technology, deployed Red Hat OpenShift AI on premise, on bare metal, with support from a team of 5 Red Hat consultants, to build a scalable, cloud-ready AI infrastructure. The platform provides container orchestration for GPU compute resources and integrates with the Dremio distributed query engine as a data ingestion layer. Operations teams can now create data science workspaces in minutes rather than hours, and deployment times for AI models have halved thanks to standardized YAML-based deployment. AI initiatives span more than 60 live models, including real-time dynamic pricing, payment fraud detection, ground-time predictions, tail assignments, on-time performance predictions, and generative AI use cases for employee experience and productivity. More than 200 Turkish Airlines employees now work on AI-based development as citizen data scientists. The airline's Head of Data and AI, Emre Yavuz, said AI projects are targeted to create over USD 100 million in financial impact by boosting revenue, decreasing operational costs, and increasing efficiency.
Overview
Turkish Airlines' technology company, Turkish Technology, deployed Red Hat OpenShift AI on premise, on bare metal, with support from a team of 5 Red Hat consultants, to build a scalable, cloud-ready AI infrastructure. The platform provides container orchestration for GPU compute resources and integrates with the Dremio distributed query engine as a data ingestion layer. Operations teams can now create data science workspaces in minutes rather than hours, and deployment times for AI models have halved thanks to standardized YAML-based deployment. AI initiatives span more than 60 live models, including real-time dynamic pricing, payment fraud detection, ground-time predictions, tail assignments, on-time performance predictions, and generative AI use cases for employee experience and productivity. More than 200 Turkish Airlines employees now work on AI-based development as citizen data scientists. The airline's Head of Data and AI, Emre Yavuz, said AI projects are targeted to create over USD 100 million in financial impact by boosting revenue, decreasing operational costs, and increasing efficiency.
The challenge
Turkish Technology's technology infrastructure lacked a container orchestration platform between Jupyter Notebooks and compute resources, so anyone could consume all the compute resources, leaving none for others; the airline needed to support data scientists in developing AI models and empower the entire business to become AI driven.
The solution
The airline's technology company, Turkish Technology, worked with Red Hat Consulting (a team of 5 consultants) to implement Red Hat OpenShift AI on bare metal, on premise, providing a container orchestration layer that manages GPU compute resources and integrates with the Dremio distributed query engine as a data ingestion layer. The solution included custom development environments, automated deployment for models and pipelines, and custom monitoring and alerts, with data scientists using standardized YAML-based deployment templates.
Reported business value
The operations team can now create data science workspaces in minutes rather than hours, and deployment times for AI models have halved. AI initiatives currently span more than 60 live models, including real-time dynamic pricing, payment fraud detection, ground-time predictions, tail assignments, on-time performance predictions, and generative AI use cases for employee experience and productivity. More than 200 Turkish Airlines employees now work on AI-based development as citizen data scientists. AI projects are targeted to create over USD 100 million in financial impact by boosting revenue, decreasing operational costs, and increasing efficiency.
Sources
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