Latest news with #EuroAI
Newsweek
5 days ago
- Climate
- Newsweek
Disturbance in the Atlantic Has 80 Percent Chance to Develop: What To Know
Based on facts, either observed and verified firsthand by the reporter, or reported and verified from knowledgeable sources. Newsweek AI is in beta. Translations may contain inaccuracies—please refer to the original content. The National Hurricane Center (NHC) issued a special tropical weather outlook Sunday warning of a disturbance in the eastern Atlantic that has about an 80 percent chance of developing into a tropical cyclone within the next seven days. Designated as AL97 or Invest 97L, the system is moving west-northwestward near the Cabo Verde Islands, the NHC said in a Sunday morning forecast. Newsweek has reached out to the NHC for more information via email Sunday during non-working hours. Why it Matters This forecast comes at the peak of the 2025 Atlantic hurricane season, when weather along the east coast of the United States intensifies from mid-August through mid-October. Federal and academic forecasts projected an above-normal 2025 Atlantic hurricane season, Newsweek previously reported. NHC assigned a high 7-day development probability to AL97 while it tracked across the eastern tropical Atlantic. Disturbances that emerge off the coast of West Africa in August often serve as the origin for long-track Atlantic tropical cyclones that later threaten the Caribbean, the U.S. East Coast or the Gulf of Mexico. What To Know Updated satellite-derived winds show a well-defined low-pressure area about midway between the west coast of Africa and the Cabo Verde Islands with maximum winds near 35 mph. "Only a small increase in the organization could lead to the formation of a tropical depression before the low moves near or across the Cabo Verde Islands tonight and on Monday," the NHC special outlook said. National Hurricane Center shows outlook for disturbances August 10, 2025. National Hurricane Center shows outlook for disturbances August 10, 2025. NHC The NHC assigned the disturbance a 40 percent chance of formation over 48 hours and an 80 percent chance over seven days. The system is moving west-northwestward at roughly 15 to 20 mph. "Locally heavy rainfall and gusty winds were possible today and Monday across the Cabo Verde Islands" and that "interests there should monitor the progress of this system," the NHC special outlook said. A second area, Invest 96L, is being tracked by forecasters farther west in the central tropical Atlantic, with disorganized showers and thunderstorms The NHC assigned 96L a lower probability of development — 10 percent in 48 hours and 20 percent in seven days — citing surrounding dry air that should slow development. What People Are Saying Chris Justus, WYFF 4 Chief Meteorologist said in a Facebook post Sunday: "The Euro AI model shows our potential hurricane tracking dangerously close to the Southeast. The key question this week: how fast does it intensify? Early rapid strengthening could pull it out to sea — but slower growth might keep it west and over the warm Gulf Stream." The National Hurricane Center said in an advisory Sunday: "Even if a tropical depression does not form over the next day or so, environmental conditions appear conducive for later development, and a tropical depression is likely to form by the middle to latter portion of this week while moving west-northwestward at 15 to 20 mph across the eastern and central tropical Atlantic." What Happens Next Forecasters will continue to monitor AL97 as it moves west across the Atlantic. The system is likely to develop into a tropical depression by the middle of the week, NHC said. Coastal communities will monitor for any further development amid the height of the Atlantic Hurricane Season.
Entrepreneur
17-06-2025
- Business
- Entrepreneur
AI's Impact on Business Operations in Europe: Startup Strategies to Stay Ahead of the Curve
Opinions expressed by Entrepreneur contributors are their own. You're reading Entrepreneur Europe, an international franchise of Entrepreneur Media. Artificial intelligence (AI) has transitioned from a speculative frontier to a core driver of business innovation and transformation. Whether enhancing decision-making through predictive analytics, delivering personalized customer experiences or shaping organizational strategy, AI is becoming indispensable across industries. What felt like cautious experimentation between 2023 and 2024 will evolve in 2025 into AI becoming deeply embedded in the strategic fabric of businesses, particularly for startups and their enterprise scaling needs. The shift is underpinned by significant investment and market momentum. According to a report by the European Parliament, Euro AI companies attracted €32.5 billion in investments by the third quarter of 2023. Moreover, AI spending in Europe could reach approximately $144 billion by 2028, as per a recent research by IDC. In 2025, AI's impact will extend beyond technological adoption—it will drive profound cultural and strategic realignments within organizations. While innovation typically drives transformative change, AI has progressed more rapidly than many other technologies due to the significant benefits it offers. Over the past few years, organizations have recognized the tangible advantages of AI, prompting many to move beyond pilot projects. Both startups and emerging firms will be required to leverage AI to redefine efficiency, scalability and innovation, making it a cornerstone of modern operations. PwC's 2025 AI Business Predictions Survey found that nearly half (49%) of technology leaders reported AI as already "fully integrated" into their core business strategies, with a third indicating its deep integration into products and services. In a blog post, PwC emphasized that integrating AI into an organization isn't just about achieving breakthrough innovations. "Big leaps, like new business models, are one source of game-changing AI value," they wrote. "But another, equally important, is the cumulative impact of incremental value at scale—20% to 30% gains in productivity, speed to market, and revenue—spreading across the organization until it's transformed." However, for startups and emerging businesses, thriving in this AI-driven landscape demands more than just adopting new technologies. "When AI is seen as a force for process or cost optimization, it can lead to automating tasks that were previously impossible to automate," JD Raimondi, Head of Data Science at Making Sense, told me. "While it may take time for all companies to join the AI movement, those that demonstrate clear benefits early will likely gain a competitive edge in both innovation and market share." Essential strategies for engineering scalable AI solutions Experts suggest that developing scalable AI systems should be a key focus for 2025. Investing in modular architectures that evolve alongside dynamic operational demands will be critical to maintaining adaptability and effectiveness. However, as with any technology, starting with a solution and searching for a problem rarely leads to meaningful outcomes. "A more practical and scalable strategy is to begin by identifying unsolved problems or challenges where current solutions are overly complex, time-consuming, expensive, or difficult to scale," Ruban Phukan, former Data Scientist at Yahoo and CEO of GoodGist, told me. "Once these problem areas are clearly defined, businesses can assess whether AI offers an efficient, innovative solution." Phukan emphasized that a problem-first approach streamlines AI development and makes it easier to demonstrate proof of value early in the process. "By targeting a specific solution to a well-defined problem space, startups can more effectively build scalable business models and position themselves for growth. Starting with a clear problem-to-solution alignment ensures that AI is not just a technological tool but a value-driven enabler of impactful business outcomes," he added. This approach can empower lean teams to achieve disproportionate impact by optimizing resource allocation and operational efficiency. For startups and scaling businesses, the decision to prioritize AI should be based on its potential to solve well-defined problems or unlock growth opportunities—rather than succumbing to hype or pressure to "keep up." By adopting this pragmatic, goal-oriented strategy, companies can incorporate AI as a driver of efficiency and growth without compromising other critical areas of their business. AI is becoming a cornerstone of Industry 5.0—a human-centric approach to technology development. AI systems can provide workers with real-time insights into quality errors and dynamically update instructions based on their inputs to resolve issues efficiently. "Large language models, in particular, can be integrated with software systems across industries to parse past records and serve as a 'knowledge base' for how employees have addressed various circumstances in day-to-day work," explained Arjun Chandar, Founder, Chairman & CEO of IndustrialML. Even startups that aren't explicitly AI-focused can leverage AI to enhance operations. "Using LLMs to help build detailed procedures as practices are established can align new hires with founders' knowledge much more quickly, streamlining onboarding and operational consistency," Chandar noted. How to break through organizational resistance and drive change The operationalization of AI comes with its share of challenges. Organizations must address internal resistance, establish robust training programs, and ensure AI initiatives align with broader strategic goals. "The AI system is going to compete with someone we don't want to compete against or displace jobs," cautioned JD Raimondi. Proper preparation, training, and reskilling of workers are crucial to creating a win-win scenario. "If that's not possible, the scope of AI implementation must be strategically planned to allow for a gradual transition, minimizing disruptions," Raimondi advised. In scenarios where AI's outputs could negatively impact individuals or groups, the role of human oversight becomes critical. "Human supervisors and ethical boards can help address concerns, quantifying and mitigating risks in a way that balances the benefits," Raimondi explained. Supervisors can step in to provide explanations or make exceptions (overrides) for AI decisions when necessary. Meanwhile, ethical boards can analyze the broader impact of AI-driven decisions, shaping company policies and setting limitations to ensure responsible use. "Most organizations, especially mid-market ones, will require humans to oversee, enhance, and complement AI systems," Raimondi added. Building trust and confidence within teams starts with involving employees early in the process. Engaging them in shaping how AI tools will integrate into workflows fosters a sense of ownership and reduces resistance. A practical approach is to begin with small-scale implementations, such as pilot programs. By inviting feedback and iterating on the system, organizations can fine-tune their strategies while demonstrating the tangible benefits of AI to their workforce. Unlocking customer loyalty with trust-driven, transparent AI solutions As customer-facing AI applications continue to proliferate, emerging businesses should place greater emphasis on simplifying these technologies and aligning them with user expectations. From AI-driven chat interfaces to predictive analytics, these tools are being leveraged to personalize user experiences and enhance customer satisfaction. Phukan stresses that AI should only be implemented if it provides a faster, more cost-effective, and scalable solution compared to existing alternatives. "By adopting this approach, businesses can align AI initiatives with measurable outcomes, making it easier to justify the return on investment," he explained. This strategic prioritization ensures that AI becomes a core driver of operational efficiency and revenue growth, rather than a discretionary expense. Phukan suggests that "Instead of relying on generic messaging, businesses can use AI to dynamically adapt communications to resonate with individual customers, demonstrating an understanding of their needs and a commitment to solving their specific challenges." This level of personalization, he noted, should span the entire customer journey—from interactions (both human and automated) and service delivery to feedback collection, problem resolution, and every touchpoint in between, with minimal friction. Agentic AI, according to Phukan, will be pivotal in achieving this depth of personalization. By conducting in-depth customer research and analyzing massive amounts of granular data—from server logs to communication records and notes—agentic AI can generate tailored communications and actions in real-time at scale. "These capabilities, which would otherwise be impractical to achieve manually, empower businesses to offer meaningful, responsive, and streamlined customer interactions that drive loyalty and satisfaction," he added. The specific points at which human involvement is required will vary across businesses and workflows. However, integrating human-in-the-loop (HITL) automation strategically can ensure that AI enhances efficiency while preserving the authenticity and personal connection that customers value. Opportunities and challenges for startups in 2025 The trajectory of AI in 2025 and beyond will be defined by its integration into business processes and its ability to deliver measurable value. Organizations that embrace AI's transformative potential will secure lasting competitive advantages, while those that hesitate risk falling behind. "So many innovative ideas have not yet been set in motion, and the constantly shifting market creates new opportunities," said JD Raimondi. "The landscape is still evolving, making it an ideal time for fresh ideas to emerge. That said, while many startups will rise with remarkable concepts, adoption is challenging and requires careful planning." For startups, the message is clear: AI has moved beyond speculative innovation to become a critical force shaping both current and future operational landscapes. "The opportunity to address long-standing challenges across industries, which have historically constrained growth, is here," explained Ruban Phukan. "AI is eliminating these barriers and delivering real, tangible value to enterprises—what was once a distant aspiration is now a reality." However, Phukan also stressed the responsibility that comes with AI's transformative power. "It's crucial for businesses to implement proper guardrails, robust security and privacy controls, and strong checks and balances to prevent biases in AI learning," he emphasized.
