Sage Hospitality's Jeff Michael joins Revinate's Hotel Moment podcast to discuss how hotels can move from data paralysis to action, aligning revenue, sales, and marketing teams around profitability.
Canary Technologies integrates with Ulyses PMS by Septeo, enabling Spanish hotels to connect AI-driven guest management tools directly with their PMS to automate workflows and improve efficiency.
Hotels with fragmented PMS, POS, and payment systems lose decision-making speed and personalization opportunities; this piece argues data integration is now a core strategic capability, not just an IT task.
The author argues that true AI-native hotel distribution requires live pull architecture and settlement layers, a gap Google won't fill due to its ad-auction model, leaving an opening for a new entrant.
The author argues that fragmented guest identity data across PMS, CRM, and loyalty systems is the core barrier to effective AI, urging hotels to prioritize data governance over AI tool investment.
Lake.com launched Lake Chat, a conversational AI concierge that lets travelers explore waterfront destinations and compare accommodations through natural language instead of traditional search.
Hotels face a hard deadline on AI-native distribution as AI shopping assistants already query inventory in real time, making machine-readable availability and direct booking pipes a competitive necessity, not a future option.
The AI Hospitality Alliance launched with 12 founding partners spanning PMS, revenue management, marketing, and guest experience tech, united around education, governance, and open AI standards for hospitality.
Alliants launches New Living, a purpose-built platform for branded residences covering 5,500+ units across 80 destinations, with AI messaging, payment, and HOA management tools for developers and operators.
The author argues that hotel content accuracy across distribution channels has become operational infrastructure, as AI systems now judge content consistency to determine trustworthiness before making recommendations.
PHAL, an agentic-AI embedded operator advisory, signs an LOI with a major luxury hotel brand and advances its Top 10 group client into proof of concept for PHAL OS.
As AI reshapes how travelers discover hotels, most properties are invisible to these systems, while measurement tools fail to prove what tech investments actually return at the property level.
An executive search professional argues that over-reliance on AI and ATS tools is undermining senior hiring, and calls for more direct human engagement throughout the recruitment process.
Kollective argues hotels are tracking too many low-value AI prompts and should focus on destination-contextualised, commercially meaningful queries to influence actual booking behaviour.
With 33% of AI responses about hotels containing factual errors and only 16% of hotels appearing in AI recommendations, the article outlines six steps to make hotel websites AI-ready and drive direct bookings.
Amadeus' Travel Dreams 2026 research shows travelers pay more when hotels deliver relevant, personalized experiences, making AI-powered personalization a direct driver of conversion, spend, and loyalty.
Maestro PMS shares key takeaways from HITEC 2026, citing operator demand for integrated platforms, tech stack simplification, AI clarity, and modern UI as top hospitality technology priorities.
Lighthouse research finds 82% of AI hotel recommendations draw from OTAs and editorial media, meaning press coverage in outlets like Condé Nast Traveler now directly drives booking visibility, not just brand awareness.
Hotels must understand three distinct AI visibility layers: model memory, web search, and dynamic data sources, each requiring different strategies and offering different levels of control.
An attendee recap of HSMAI and HITEC in San Antonio finds AI reshaping hotel discovery and commercial alignment, while cautioning operators to prioritize real problems over trend-chasing.