Destination by Hyatt hotel brand debuts in Mallorca, Spain
Nestled near S'Albufera Natural Park, the new Sarena de Muro Resort Mallorca property is positioned amid the dunes of a Balearic Island beach.
Hyatt South managing director Manuel Melenchon said: 'As our first 'Destination by Hyatt' hotel in Mallorca, today's opening marks a significant step in our brand growth strategy and underscores our continued commitment to delivering one-of-a-kind experiences in key markets that matter most to our guests.
'Sarena de Muro Resort Mallorca embodies the spirit of the Destination by Hyatt brand by capturing the essence of the island and its surrounding natural beauty, and we are delighted to introduce this property to our diverse and evolving European portfolio.'
This resort features 184 guest rooms and suites, offering sea views and is equipped with amenities such as 55in smart TVs.
The company stated that the property's dining experience is diverse, featuring four restaurants and bars.
Sarena Spa at the hotel features a hydrotherapy area, thermal zone, and dedicated massage and treatment rooms.
The property includes two pools with sea vistas, one with direct beach access, and a 24-hour fitness centre.
Sarena de Muro Resort Mallorca general manager Rafael Alonso said: 'Sarena de Muro is a true celebration of Mediterranean culture, and I am delighted to welcome guests to our first Hyatt hotel in Mallorca.
'The hotel is the ideal base for nature lovers and restless hedonists to share time with their loved ones and create memories.'
The Destination by Hyatt brand represents a collection of independent hotels and resorts.
With this addition, the company's portfolio now spans over 1,450 hotels and all-inclusive properties in 79 countries in six continents.
In a move to strengthen its European footprint, Hyatt Hotels previously announced in November 2023 plans to introduce a new Thompson Hotels-branded property in Seville, Spain.
"Destination by Hyatt hotel brand debuts in Mallorca, Spain" was originally created and published by Hotel Management Network, a GlobalData owned brand.
The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Bloomberg
23 minutes ago
- Bloomberg
UK to Grow Faster Than European Peers for Two Years, IMF Says
Britain will grow faster than any other major European economy this year and next but continue to lag behind the US and Canada among Group of Seven industrialized nations, according to the International Monetary Fund. In an update to its World Economic Outlook, the Washington-based economic supervisor raised its global growth forecasts to reflect both the improved trade backdrop and the fiscal stimulus from President Donald Trump's One Big Beautiful Bill Act.
Forbes
23 minutes ago
- Forbes
AI In Financial Decision Making: The IT Leader's Playbook For Scalable Wealth Advisory
Dimitar Dimitrov is the founder and Managing Partner at Accedia, a leading European AI & Custom Software Development Company. The way organizations deliver financial advice is reaching a breaking point, and the pressure now falls on IT leaders. Clients today expect personalized, real-time guidance that fits seamlessly into their digital lives. Advisors, meanwhile, are under pressure to do more with less, while outdated systems and disconnected data sources make scalable, compliant innovation feel out of reach. For technology leaders, this creates the challenge of balancing innovation with risk and automation with trust. AI in financial decision making is emerging as the path forward. But the real opportunity lies in knowing how and where to make it work. The Pressure To Scale: Why Traditional Advisory Models Are Breaking Clients aren't walking away from banks. They are, however, walking toward options that promise more tailored, always-on support. Looking at the numbers, AI-powered tools like PortfolioPilot have already attracted over $20 billion in assets, simply by offering digital-first advisory at scale. Even the most loyal users are growing impatient, expecting advice that adapts to their goals and life events as they happen. They've grown used to predictive suggestions from Spotify and Netflix and are demanding the same from their financial guidance. On the other hand, advisory teams are overwhelmed. Manual processes dominate onboarding, portfolio rebalancing and risk profiling. And when advisors are overloaded, customer satisfaction inevitably suffers. What technology leaders need is a roadmap forward that balances innovation, stability and compliance. Leveraging AI For Personalization, Efficiency And Growth In Financial Decision Making AI enhances human expertise by automating time-consuming tasks like portfolio rebalancing, tax optimization and planning. It leverages behavioral data—from transaction patterns to digital engagement—to deliver tailored recommendations that align with investors' financial goals. That's why over 90% of investors say they're open to using AI for product research, and more than 80% believe it can enhance portfolio management. This is echoed across the industry, with 62% of wealth management firms expecting AI to transform operations over the next few years. When AI automates manual processes, it improves consistency and responsiveness—two key expectations for today's digital-first clients. Morgan Stanley's Debrief assistant is a good example, using generative AI to summarize financial advisors' meeting notes and draft follow-up emails. It captures context and automates documentation, enabling smoother handoffs and consistent client communication. What Technology Leaders Need To Consider Before Adopting AI Financial Advisory There is certainly no shortage of AI tools, but technology leaders know implementation is where great ideas go to die, especially when dealing with fragmented systems, compliance pressure and growing cyberthreats. Here's where smart execution comes in. Start by evaluating your current state: Map out key advisory processes and assess system readiness for AI integration. Then, ensure data readiness. Clean, connected, privacy-compliant data is the foundation of every effective AI model. If your core systems aren't integrated or your data is trapped in silos, even the best AI won't deliver results. Make the decision whether to build in-house or partner with an external development team. Not every organization has the capacity or the need to develop or manage proprietary AI from scratch. Upskilling is essential, but in the short term, having a partner that can guide deployment and knowledge transfer can bridge that gap without compromising delivery. Thus, many CTOs are now exploring partnerships with specialists who can accelerate implementation while maintaining oversight. One such case involved our company, where the focus was on aligning AI capabilities with strict regulatory frameworks. The result? The client was able to automate key advisory processes, reduce compliance risk and accelerate time-to-market for new digital services—all while maintaining full transparency and control. Explainability is another non-negotiable. Under recommendations from the U.S. Securities and Exchange Commission (SEC), AI-generated advice must be traceable and auditable. There are growing concerns that models could unintentionally favor firm incentives unless deliberately designed to prioritize client outcomes. The reputational and regulatory risks are significant, which is why explainability must go hand in hand with transparency and fairness. What The Next Phase Of AI In Financial Advisory Looks Like We're entering a new phase of emerging technologies—generative AI, personalized ESG portfolio suggestions and predictive tools for financial well-being are already fast-approaching realities. Deloitte estimates that by 2028, 78% of retail investors will rely on generative AI for some form of financial advice, and that traditional financial websites may see usage drop from 28% to just 9% if generative AI delivers on its promise of more accurate, user-friendly and contextual support. The future of AI in finance is platform-enabled and highly personalized. Technology and innovation leaders who treat it as a strategic pillar, integrated with infrastructure, security and governance, are already creating a competitive advantage. Seizing The AI Advantage With Strategic Action One of the most promising developments in the realm of AI in financial advisory is the rise of predictive financial wellness tools. These go beyond basic tracking to anticipate when a client might miss a savings goal, face liquidity pressure or be able to take advantage of a market opportunity—prompting timely, tailored advice without the need for a scheduled review. At the same time, generative AI is beginning to transform how users engage with financial services. From onboarding to education to goal planning, intelligent assistants can answer complex financial questions, explain investment strategies and walk users through key decisions in real time. This creates a layer of always-available, hyper-personalized support that complements, not replaces, human advisors. Finally, advisory is becoming increasingly embedded. As platforms shift toward modular, API-first architectures, organizations are beginning to deliver advice-as-a-service, tailored investment guidance across everyday digital touchpoints that investors already use daily. Whether that's through a partner fintech solution, an employee benefits portal or a digital wallet, AI allows advisory services to meet investors where they are. Conclusion AI in financial decision-making is a leadership opportunity. Your path forward starts with a clear-eyed assessment of current capabilities, identifying where automation can drive the most impact and ensuring systems and data are AI-ready. Don't wait for disruption to force your hand. Take the lead in building scalable, adaptive wealth advisory services that meet rising expectations. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
CBS News
23 minutes ago
- CBS News
Stellantis warns of $1.7 billion earnings hit from tariffs
Stellantis, the maker of more than a dozen automotive brands, on Tuesday said that President Trump's tariffs will cost the auto manufacturer 1.5 billion euros, or about $1.7 billion, in 2025. The parent company of brands like Chrysler, Fiat, Jeep and Peugeot announced the projected earnings hit as Mr. Trump clinches deals with U.S. trade partners that include steep tariffs on U.S. imports, ahead of an Aug. 1 deadline. Stellantis said it expects the majority of the hit, about 1.2 billion euros, will come in the second half of 2025. "Stellantis updates its estimate of 2025 net tariff impact to approximately €1.5 billion, of which €0.3 billion was incurred in H1 2025. The Company remains highly engaged with relevant policymakers, while continuing long-term scenario planning," the company said in a statement Tuesday as it reported financial results for the first half of 2025. The automaker acknowledged that Mr. Trump's 25% tariffs on imports of autos and auto parts to the U.S. are hurting its business, particularly in North America. Stellantis builds its Chrysler, Dodge and Jeep brand vehicles in factories in Canada and Mexico, meaning they're subject to the new levies. While Mr. Trump's deal with the EU, calling for 15% tariffs across the board will make BMW and Mercedes-Benz vehicles more expensive for U.S. consumers, according to analysts. Stellantis is largely unaffected by the EU agreement. "Stellantis isn't much affected by the EU/US tariff news — the question for STLA is if the Detroit-3 will want to renegotiate the [U.S.-Mexico-Canada Agreement (USMCA)] tariff after the EU and Japan got a better deal," UBS analysts said in a research note. Other automobile manufacturers, including General Motors, have been bracing for impact from tariffs. GM CEO Mary Barra said the company took a $1.1 billion hit from tariffs in the second quarter, and that the company is taking steps to reduce its tariff exposure by investing in U.S. assembly plants. European automaker Volkswagen also said last week that tariffs cost the company $1.5 billion in the first half of 2025.
