Innovation - 10 Minutes News for Hoteliers - Page 35

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Hotels must embrace MCP to stay competitive in the age of AI assistants

📱 Dec 3, 2025: Hotels face a new challenge as conversational AI assistants begin dominating travel planning. The Model Context Protocol (MCP) could redefine hotel distribution by acting as a "bridge" for verified data, enabling AI bookings. MCP could replace inaccurate third-party data and relies on booking engines for real-time information. Implementing a centralized database is crucial for this AI-driven future. Some AI assistants already support MCP, offering a competitive edge for early adopters.

3 min

Shiji named a 2025 Geo and Global AWS Partner Award Finalist

💻 Shiji, headquartered in Atlanta, Georgia, was named a finalist for the 2025 Geography and Global AWS Partner Award on December 2, 2025. The award acknowledges AWS partners excelling in innovation and customer solutions. Shiji, with over 91,000 hotel clients and 5,000 employees globally, was recognized for its use of AWS to enhance hospitality technology, such as Daylight PMS and Reviewpro Reputation, improving operational efficiency and guest experiences. The awards, reviewed by Canalys, emphasize customer success.

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MCP, the bridge that will allow hotels to compete in the era of AI assistants and LLMs | Pablo Delgado Díaz-Pache

💻 MCP is revolutionizing hotel-to-traveler connections using AI, creating a direct link between hotel systems and AI assistants. Key benefits include reliable real-time data, improved guest journeys, and AI support for availability checks and bookings. This innovation strengthens direct booking channels and levels the playing field for independent hotels. Notably, repeat guests benefit from skipping the discovery phase. Early adopters gain a significant advantage in this evolving landscape. Discover more in MCP’s latest article.

AI Users Need Agency, Not Agentic

💻 Hospitality industry embraces collaborative AI over autonomous systems. Collaborative AI empowers teams, enhancing decision-making with data without replacing human insight. In pricing, AI enables rate testing, strategic alignment, goal prioritization, and adaptive learning. Effective AI should enhance user agency, not enforce rigid standards. This approach boosts efficiency, predictability, and resilience. TakeUp offers AI-driven revenue optimization for hospitality, integrating with property management systems to enhance profitability and efficiency.

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What duopoly? Seriously hotel distribution isn't a duopoly at all – according to these numbers there isn't a duopoly at all. Booking is very very much alone as the main leader of OTAs. I don't want… | Martin Soler | 12 comments

💸 Booking dominates the OTA landscape, operating as the leading platform in hotel distribution. Airbnb's volume is less than 10% of Booking's, and HotelTonight ranks lower than Leading Hotels of the World. Hundreds of OTAs exist in various niches, but none match Booking's scale. The data from 10 Minutes Hotel highlights this disparity, and a full list may be released as a download. The potential impact of AI on this domain remains significant yet uncertain.

11 min

Israel’s Tourism and Hospitality Outlook – From Recovery to Reinvention

📈 In late 2025, Israel's hospitality sector shows resilience amid regional volatility. The shekel is stable despite geopolitical risks. GDP is up 2%, and tourism is recovering post-2023-25 war. Hotel investments, like Jaffa Hotel's $123M sale, signal confidence. Notable future openings include Six Senses Rothschild (140 rooms) and Mandarin Oriental Tel Aviv (225 rooms) in 2028. The ceasefire on October 10, 2025, boosts optimism, with domestic tourism sustaining demand and international travel set to recover.

8 min

MCP, the bridge that will allow hotels to compete in the era of AI assistants and LLMs

💻 The integration of AI is transforming hotel distribution. Key disruptions include conversational AI agents, visibility in AI assistants powered by LLMs like GPT, and structured data needs. Hotels must develop MCP servers to provide official, structured content to AI assistants and enable booking actions. Only 5%-10% of hotel content is currently on websites, with the rest scattered. Building a canonical database is crucial. Google and OpenAI are competing in AI-based bookings, with hotels needing strategic preparation to stay competitive.

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I’m non-technical but want to deeply understand AI. Andrej Karpathy’s “Intro to LLMs” is the best resource I’ve found so far. Here are my biggest takeaways from his 60-minute talk: 1. An LLM is… | Alex Lieberman

💻 Andrej Karpathy's "Intro to LLMs" highlights: LLMs consist of two files—a large weight file and a small run file—and are more like biological entities than engineered machines. LLaMA-2-70B required thousands of GPUs and millions of dollars; top models scale this 10×. Running models is cheap; training is costly. Open models offer customization, while closed models provide power. Scaling laws drive the GPU and data rush, with novel security risks emerging as LLMs evolve.

CommingleIQ: Hotel Storytelling Reimagined

📱 Lodging Interactive, founded in 2001, launched CommingleIQ to revolutionize hotel marketing through integrated AI-driven storytelling, enhancing traveler engagement. It transforms hotel content into a visually and conversationally immersive mobile-optimized storytelling hub. CommingleIQ is structured for platforms like ChatGPT and integrates with Lodging Interactive's Social Media Amplified. It syndicates hotel narratives across the STAY.PLAY.EXPLORE platform, boosting AI discoverability and direct booking channels. Contact: 877-291-4411 ext. 704.

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???????????? ???????????????????????? ???????????? ???????????????? ???????????? ???????????????????????????????????? ???????????? ???????????? ???????????????????????? Everyone keeps shouting about which LLM model is best. I don’t care. Just like the great engineers who built… | ???? Peter Syme ????

💻 Gemini 3 launched last week, with Anthropic's Claude Opus 4.5 following suit. Claude Opus 4.5 uses 76% fewer tokens, achieving top coding benchmarks and 15% better multi-agent support. AI models now outperform new hires, and recursive self-improvement is making coding ubiquitous. This shift leads to operational automation becoming nearly free, with AI managing tasks once handled by teams. The travel industry, among others, faces a surge of AI-built tools, transforming workflows and operations with minimal input.

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