The Future of Personalization in Travel: AI-Powered Recommendations at Scale
Martin Tuncaydin explores how vector embeddings and real-time architectures are transforming travel personalization, moving beyond generic results to cont…
AI-Driven Dynamic Pricing in Hotels: A Data Engineer's Deep Dive into Revenue Management Systems
Martin Tuncaydin explores the engineering challenges behind AI-driven dynamic pricing in hotels, from real-time feature engineering to scaling revenue man…
Conversational AI in Online Travel Agencies: Beyond Traditional Chatbots
Martin Tuncaydin explores how conversational AI and large language models are transforming online travel agencies beyond traditional chatbot limitations.
Agentic AI Workflows: The Next Evolution in Corporate Travel Management
Martin Tuncaydin explores how agentic AI and multi-agent systems are transforming corporate travel management through autonomous negotiation, decision-mak…
The Future of Personalization in Travel: AI-Powered Recommendations at Scale
Martin Tuncaydin explores how embedding-based architectures are transforming travel personalization beyond traditional collaborative filtering to anticipa…
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…
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 …
Flight Delay Prediction with Machine Learning: Lessons from Production
Martin Tuncaydin shares lessons from building and deploying real-time flight delay prediction models at scale using air traffic control feeds, weather API…
AI-Driven Dynamic Pricing in Hotels: A Data Engineer's Deep Dive into Feature Pipelines
Martin Tuncaydin explores the data engineering infrastructure behind AI-driven hotel pricing systems, focusing on feature pipelines and real-time rate opt…
Fine-Tuning Open-Source LLMs on Travel Domain Data: A Practitioner's Guide
Martin Tuncaydin shares his practical guide to fine-tuning open-source LLMs for travel industry applications using parameter-efficient techniques like LoR…
Graph Databases for Travel: How Martin Tuncaydin Maps Routes, Hubs, and Connections
Martin Tuncaydin explores how graph databases naturally model travel networks, mapping routes, hubs, and connections across flights, trains, and multi-mod…
Sustainable Travel Tech: Using AI to Reduce Carbon Footprint in Global Travel
Martin Tuncaydin explores how artificial intelligence and machine learning can reduce the carbon intensity of travel through data infrastructure and algor…