Latest news with #AIforecasting
South China Morning Post
2 days ago
- Climate
- South China Morning Post
Hong Kong Observatory to enhance AI models after record-breaking downpours
The Hong Kong Observatory has pledged to further develop its artificial intelligence forecasting models to better predict typhoons and rainstorms after producing useful information before the record-breaking downpours earlier this week. Advertisement He Yuheng, acting senior scientific officer at the Hong Kong Observatory, said on Friday that the models successfully predicted the development of a rainband that brought heavy rain to parts of the Guangdong coast, a week before Tuesday's torrential downpour, which led to the city's second-longest black rainstorm warning. On that day, the forecaster measured 358.8mm (14.1 inches) of rainfall at its headquarters in Tsim Sha Tsui as of 5pm, the highest daily rainfall in August since records began in 1884. 'If we look back, one week before Tuesday, we already have several artificial intelligence models that have started capturing the progress of the particularly heavy rain this time,' he said on a radio programme. 'They forecast that there would be a rainband moving from the east to the west, which would affect the coast of Guangdong. It also predicted that some parts of the coast of Guangdong would have a very large amount of accumulated rainfall during 24 hours.' Advertisement But he noted that the models were not completely accurate in pinpointing where the rain would fall. However, it still provided a valuable basis for the Tuesday rainstorm forecast.
Travel Daily News
07-05-2025
- Business
- Travel Daily News
Integration partnership between RMS and Right Revenue
RMS and Right Revenue partner to provide independent hotels real-time data, AI-powered forecasting, and dynamic pricing for revenue optimisation. LONDON – RMS, a leading hospitality platform for hotels, motels, serviced apartments and short-term rentals has announced an integration partnership with Right Revenue, a powerful revenue management solution for independent hotels. This integration provides seamless, real-time data information flow between the two platforms, enabling hotels to make faster and smarter pricing decisions with more accurate forecasting. With live booking data from RMS feeding directly into Right Revenue's AI-powered platform, hoteliers can optimise room rates, anticipate demand and maximise revenue with minimal input, positioning them to adopt a strategic rate strategy in line with larger hotel chains. Adam Seskis, CEO at RMS, said: 'For independent hotel owners and operators, the lack of accurate revenue forecasting can lead to missed booking trends, ultimately resulting in significant revenue loss. Our integration with Right Revenue addresses these challenges. This partnership combines two powerful platforms to give independent hoteliers a competitive edge. By integrating RMS with Right Revenue, we're enabling access to real-time insights, automated pricing, and faster, smarter decision-making.' Adrienne Hanna, Founder and CEO of Right Revenue, said: 'Our goal is to help independent hoteliers set the right pricing strategy to maximise revenue. By integrating with RMS, we're making it easier for independent hotel owners to achieve that balance, ensuring improved income and freeing up time to focus on enhancing the guest experience.' Right Revenue delivers both pricing suggestions and forecasts every day for two years in advance with less than a 2% margin of error and double-digit revenue growth. Hotel managers can use the platform to forecast by segment, source, channel, room type, and rate type, unlocking smart rate recommendations to keep them ahead of the curve. The integration between RMS and Right Revenue will provide hoteliers with customisable, real-time reporting and a clear view of key business KPIs, all within a single, intuitive platform. By factoring in live guest booking behaviours, the system delivers dynamic rate suggestions, enabling hoteliers to tailor their offerings to match current demand and optimise revenue opportunities.
