mlops
MLOps in Travel: From Notebook to Production in 30 Days
Martin Tuncaydin explores how MLOps practices enable travel technology teams to deploy data science models from notebook to production in just 30 days, tr…
travel-technology
rag
Applying RAG Architectures to Travel Knowledge Bases: A Practitioner's View
Martin Tuncaydin explores how retrieval-augmented generation (RAG) architectures transform travel domain knowledge access, from fare rules to GDS taxonomi…
apache-kafka
Building a Real-Time Travel Data Platform with Apache Kafka and Flink
Martin Tuncaydin explores building real-time travel data platforms using Apache Kafka and Flink to capture booking events, inventory changes, and pricing …
mlops
MLOps in Travel: Deploy Machine Learning Models from Notebook to Production in 30 Days
Martin Tuncaydin shares how travel technology teams can deploy ML models to production in 30 days using MLOps practices, overcoming unique challenges in h…
generative-ai
Generative AI for Travel Content: Balancing Opportunity and Risk in Tourism Marketing
Martin Tuncaydin explores how the travel industry can harness generative AI for content creation while mitigating risks like factual accuracy and search p…
microservices
Event-Driven Microservices for Booking Systems: Managing Distributed Transactions at Scale
Martin Tuncaydin explores event-driven architecture for travel booking systems, covering sagas, eventual consistency, and the outbox pattern for managing …
openai-assistants-api
Building Travel Copilots with OpenAI's Assistants API: A Practitioner's Guide for B2B Travel Desks
Martin Tuncaydin explores how OpenAI's Assistants API transforms B2B travel operations with context-aware AI copilots that augment human decision-making a…