
Telefonica Chairman's M&A Ambitions Face Old Debt Challenges
Telefonica SA 's new chairman is running into an old problem. After the better part of a decade focused on cutting debt, the company still doesn't have the cash it needs to chase deals and growth.
The Spanish phone carrier is looking for diverse ways to simplify its structure by buying out partners in joint ventures and reorganizing certain operations to make itself more flexible for potential deals in the European telecommunications industry. Executive Chairman Marc Murtra, who took over in January, has ordered a strategic review to be unveiled in the second half of the year.
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2 hours ago
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World Bank urges 'radical' debt transparency for developing countries
By Libby George LONDON (Reuters) -The World Bank is urging "radical" debt transparency for developing countries and their lenders to stave off future crises, it said in a report released on Friday. The Bank wants to broaden the depth and detail of what sovereign countries disclose regarding new loans, as more of them enter complex, off-budget borrowing deals due to global market turmoil. "When hidden debt surfaces, financing dries up and terms worsen," World Bank senior managing director Axel van Trotsenburg said in a statement, adding: "Radical debt transparency, which makes timely and reliable information accessible, is fundamental to break the cycle." The Bank wants countries to make legal and regulatory reforms that mandate transparency when signing new loan contracts and to share more granular debt data. It also wants more regular audits, the public release of debt restructuring terms, and for creditors to open their loan and guarantee books. It is calling for better tools for international financial institutions to detect misreporting. The World Bank and other multilateral banks have been pressing for years to improve lending transparency. The proportion of low-income countries reporting some debt data is now above 75%, up from below 60% in 2020. But only 25% of them disclose loan-level information. As financing costs spike due to trade wars and geopolitical risk, more countries are using arrangements such as central bank swaps and collateralized transactions that complicate reporting. Senegal has used private debt placements as it negotiates with the International Monetary Fund over misreporting of its previous debts, and Cameroon and Gabon have also used what are known as "off-screen" deals. Angola recently had to pay a $200-million margin call after a rout in its bond prices. In Nigeria, the central bank disclosed in early 2023 that billions of U.S. dollars of its foreign exchange reserves were tied up in complex financial contracts negotiated by the previous leadership. The Bank said broader loan coverage and deeper loan-by-loan disclosures would enable the international community to fully assess public debt exposure. (Reporting By Libby GeorgeEditing by Rod Nickel) Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data


Forbes
2 hours ago
- Forbes
Study Shows LLM Conversion Rate Is 9x Better — AEO Is Coming
Bing, OpenAI, Microsoft and Google logos displayed on a phone screen and a laptop keyboard are seen ... More in this multiple exposure illustration photo taken in Krakow, Poland on February 8, 2023. (Photo by Jakub Porzycki/NurPhoto via Getty Images) Some predict that by 2028, more people will discover products and information through large language models (LLMs) like ChatGPT and Gemini than through traditional search engines. But based on research I conducted with Cornell Master's students, that shift is happening much faster. LLM-driven traffic is already starting to outperform traditional search — not in volume, but in value. Traffic from LLMs converts at nearly 9x higher rates than traditional search. This is the biggest disruption to search since the dawn of the internet. If you're a brand or publisher, now is the time to adapt your SEO playbook. Oh, there is no 'S' — it's now called Answer Engine Optimization (AEO) Back in January, I predicted that traditional search was on its way out. Just six months later, the shift is already visible. In my UX research, I classify shoppers into three categories: It's easy to see how all these needs can now be met through a conversation with LLMs like ChatGPT, Claude, Gemini, or Perplexity. Say you're looking for an isotonic drink powder. Instead of scanning blogs, watching videos, or scrolling endlessly, you now ask ChatGPT — and it responds with direct recommendations: Ask about ketogenic-friendly options, and it will go even further — offering details on ingredients, comparisons, and alternatives. Staff Sergeant Alex Mackinnon from the Royal Electrical and Mechanical Engineers holds a sachet of ... More isotonic drink, Tuesday September 20, 2005, at Bramley Training Area near Basingstoke, where the Army announced it will be including the sports drink in its ration packs. 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In A/B tests, we compared regular keyword search with an AI-guided, conversational search experience. The difference was stunning: almost 9x higher conversion. Yes, nine times. But it's not just conversion that's changing — the way people search is evolving, too. In the past, users typed one or two words like 'camera.' Now, when they're shown more natural and detailed responses, they respond in kind. We're seeing queries like: 'What's a compact camera for wildlife photography that fits in a carry-on?' Semrush backs this up with broader data: In our interviews, shoppers said they felt more 'understood' and 'better about their purchase.' It didn't feel like a search engine. It felt like getting advice from a knowledgeable friend. If you scale that behavior to external LLM traffic — not just on-site — the value of that traffic already rivals what you get from SEO. For brands, this means it's time to rethink how you show up in these conversations. That's what AEO — Answer Engine Optimization — is all about. Brands need to act. If you're not being cited by LLMs, you're becoming increasingly invisible. To get picked up by an LLM, you need to understand how these models learn from content. Masking in ML Training LLMs are pattern-completion engines. I often use the example of 'Life is like a box of ___' in my online certificate from Cornell. Correct. The answer is Chocolate. Machines learn the right answer through trial and error. This approach is called masking. To show up in an LLM's response, your content needs to become part of its masked training data. LLMs look for authoritative, helpful, and authentic content. Since they predict the next word in a conversation with a user, they favor content written in a conversational or Q&A format. For brands a new playbook is emerging AEO. I outlined all what brands need to know. AEO is just the beginning. 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Yahoo
3 hours ago
- Yahoo
Interview: James Neville CEO of Yaspa
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