Expert insights, industry trends, and practical guidance on transforming aviation operations with artificial intelligence.
From recruitment to retirement, from training to customer deployment - Kaiban 2.0 introduces revolutionary capabilities that transform how airlines manage their AI workforce throughout their entire lifecycle.
A speculative exploration of how event-driven AI architectures could fundamentally transform airline operations and disrupt the $7 billion airline software industry
A Functional Analysis of Conversational Maturity in the Airline Industry. Kaiban evaluated 54 airlines across seven dimensions to understand chatbot performance and provide actionable recommendations.
Advanced techniques for answer generation strategies and evaluation methodologies for developing reliable, hallucination-free airline chatbot responses that maintain accuracy while balancing user experience.
Detailed research on intent classification techniques and evaluation methods for airline applications, covering prompting-based, embedding-based, and hybrid approaches for understanding customer needs.
Comprehensive study of information retrieval techniques and evaluation frameworks for building robust airline chatbots that balance regulatory precision, latency requirements, and multi-source coverage.
Build, train, and manage your AI agent workforce using intuitive Kanban boards - delivering solutions without system migrations. After months of development and feedback from our early adopters, we're thrilled to announce the launch of Kaiban 1.0!
AI is here, but airlines deserve a way in that doesn't require ripping out systems or trusting black boxes. Kaiban gives you transparent, controllable AI agents that work with what you already have.
An in-depth analysis of Apple's AI research findings and their implications for airline operations, particularly in group booking optimization and multi-agent approaches.