
EYOS Expeditions Introduce Innovative Superyacht Circumnavigation Charter Program
How would you like to see the world from the top deck of this superyacht? You could if you ... More participate in the Solace Odyssey, an innovative new yacht charter program just announced by EYOS Expeditions
One of the many things that make chartering a large yacht so special is the variety of bucket-list level experiences that are possible. For many, the ability to escape onboard a spacious, well-staffed yacht and visit historic ports and sun kissed islands in the Mediterranean and Caribbean defines the ultimate family getaway. For others, the ability to explore remote destinations and native cultures can be both restful and restorative.
The Solace Odyssey is an innovative three year superyacht circumnavigation
In fact, chartering a yacht can be like owning one except, up until recently, you couldn't really experience the true adventure and discovery of a circumnavigation on a charter yacht. But that's all about to change now that EYOS Expeditions just announced an innovate partnership with the recently refitted 187-foot-long Feadship Solace that's about to embark on a three-year circumnavigation.
A rendering of the 187-foot-long Feadship Solace
'Many owners set off around the world, but few do so with such a well-defined vision for what they want to achieve during the voyage,' EYOS Expeditions co-founder Tim Soper explains. 'With Solace, the brief was to create extended family cruising legs of several months, full of variety and discovery, while also making the yacht available for charter in all the key regions along the route at the best possible times of the year.
The interior aboard the 187-foot-long Feadship Solace
'The owner's goal is for clients who charter legs of the Solace Odyssey to enjoy the rewards of a global voyage without the huge commitment of doing so on their own. The foundation of this concept is to allow charterers the opportunity to return to a familiar yacht and crew while experiencing a series of the most rewarding yachting destinations around the world. We have suggested some key regions to charter, but we will also work with clients who want to become part of the odyssey to develop individual routes according to their interests.'
Solace will visit numerous islands and cultures all around the world
And the newly refitted Solace seems to be the ideal yacht for the trip. She was specifically built for a circumnavigation that lasted three years after she was launched in 2005. She can accommodate 12 guests in five suites, with two additional berths available for guides, instructors, or specialists. And a professional crew of 14 ensures high-touch service and continuity for returning clients.
Solace will visit many of the worlds most remote locations including Antarctica
Another cool thing about the Solace Odyssey is the way the owner has invited potential charter clients to share the voyage of discovery by curating their own odyssey. This type of trip may not be for everyone, but for those who dream of circumnavigating, the ability be part of the Solace Odyssey could provide a deeper/longer/more meaningful experience than a more conventional, one-off charter.
'It was an interesting challenge to develop a multi-year deployment that delivers both a private world cruising experience and compelling charter opportunities,' Soper continues. 'Solace will visit many of the world's most wonderful and off the beaten track cruising grounds at optimal times of year, including expedition destinations where we can deliver some unique experiences.
The interior aboard Solace is warm and sophisticated
As of now, charter availability is divided into six defined segments, each spanning approximately three months:
• Winter 2025/26 UAE, Maldives
• Summer 2026 Seychelles, Mozambique, Madagascar
• Winter 2026/27 Raja Ampat, Palau, Yap, Philippines, Japan
• Summer 2027 PNG, Solomon Islands, Vanuatu, Fiji, Tonga, French Polynesia
• Winter 2027/28 Antarctica, Patagonia
• Summer 2028 Greenland, Baffin Island, Eastern Northwest Passage
This sounds like a fantastic program put together by some of the most respected and experienced people who specialize in global exploration on private yachts I know.
I only have two questions: 1. Why hasn't someone thought of this before? 2. When can I sign up?
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
13 minutes ago
- Yahoo
Guide to Surf City: Things to do, places to eat and what to know about parking
A beach community located in the heart of Topsail Island, Surf City's beaches are the main attraction. There are 39 public beach accesses, and four of those have restroom or shower facilities. In addition to enjoying a quiet day on the beach, the area is known for boating, fishing and water sports. The Karen Beasley Sea Turtle Rescue and Rehabilitation Center: Learn more about sea turtles and how they are cared for at this state-of-the-art facility. Reservations are required for tours, 302 Tortuga Lane, 910-329-0222. Shipwreck Point Golf: Enjoy miniature golf with a pirate theme, 107 Charlie Medlin Drive, 910-329-4653. Surf City Pier: This pier extends 973 feet and offers pier house with a tackle shop, souvenirs, and a grill, 112 South Shore Drive, 910-328-3521. Guide to Wilmington-area beaches: Things to do, places to eat and what to know about parking Maine Lobstah Shack: Enjoy Maine lobster in traditional lobster rolls or in other dishes, like bisque, grilled cheese, or mac and cheese, 411 Roland Ave., 910-548-6789. Sears Landing: Walk or cruise into this restaurant on your boat and enjoy 'Southern Coastal Casual' cuisine. Open for breakfast, lunch and dinner, 806 Roland Ave., 910-328-1312. Santorini Greek and Italian Bistro: Enjoy a taste of the Mediterranean with pizza, pasta and gyros at this local restaurant, 205 S. Topsail Drive, 910-541-2759. 'A drastic change': How Pender County is growing and planning for the future Time: 9 a.m. to 6 p.m. from March 1 to Oct. 31. Rates: $3 hourly or $5 hourly depending on the location of the parking lot; hourly and weekly rates available. More information: Visit the website, Renee Spencer is the community engagement editor at the StarNews. Reach her at rspencer@ This article originally appeared on Wilmington StarNews: Things to do, places to eat, parking in Surf City, NC


Forbes
33 minutes ago
- Forbes
How Industrial AI Strengthens Manufacturing Resilience
Jerry Dolinsky is the CEO of Dozuki , a leading connected worker solution for enterprise-level manufacturing companies. getty When I met James, a veteran maintenance technician, he could tell from a faint rattle whether a gearbox would seize in two days or two weeks. He knew the precise torque sequence that kept a 30‑year‑old stamping press humming past its rated life. When he retires next quarter, that intuition retires with him. Multiply James by thousands of soon‑to‑retire front-line workers, and you begin to see the quiet crisis I've observed across global manufacturing: Critical know‑how is evaporating faster than we can capture it. Knowledge attrition isn't an HR inconvenience anymore—it's an enterprise‑level risk to productivity, quality and safety. In BCG's 2024 AI adoption study, only 26% of surveyed companies had scaled value‑creating AI use cases. That gap reflects a failure to prioritize systemic problems like knowledge transfer over flashier pilots. Meanwhile, a June 2023 McKinsey report estimated GenAI could unlock up to $4 trillion in annual productivity, with manufacturing among the top beneficiaries. However, if we allow expertise to walk out the door, that upside disappears. From Tribal Wisdom To Institutional Memory In my work helping companies adopt AI on the factory floor, I've seen modern tools ingest everything from legacy SOPs to video walk-throughs and sensor data, transforming it into dynamic, role‑based guidance—instantly searchable on any device. I call this shift "process digitization at the speed of operation." If you're considering where to begin, here's how we've seen companies move quickly without overhauling their infrastructure: 1. Start with reality, not theory. Most plants already sit on a mountain of unstructured content—dusty binders, disconnected spreadsheets and endless ad-hoc videos. AI can now classify, tag and standardize that material in days, not quarters. The first win is unlocking the value of what you already have. We've helped teams skip the burden of marathon documentation sessions by capturing short videos on the line—think TikTok for torque specs. These clips feed AI models that autogenerate step‑by‑step instructions, multilingual subtitles and safety callouts. This results in work instructions that are ready before the next shift clocks in. 3. Embed feedback loops at the point of use. Operators know when an instruction doesn't match reality. With the right tools, they can flag discrepancies on the spot using voice notes or text. AI then reconciles those changes against global standards. This loop transforms compliance from a checklist into a real-time collaboration engine—and I've seen this reduce rework significantly. 4. Measure knowledge like any other asset. Some of the most forward-looking companies I work with now track knowledge using formal KPIs. • Percentage of critical tasks with validated digital standards • Time-to-competency for new hires • Number of front-line submitted improvements per quarter Treating knowledge like OEE or EBITDA reframes it as a performance driver, not an afterthought. 5. Build a culture where expertise scales. AI isn't a replacement—it's an amplifier. When companies elevate the voices of their most experienced workers and make their insights accessible to every shift, they build prestige around contribution. That attracts and retains the next generation of talent who expect consumer-grade digital tools on day one. Why Now: A Narrow, Urgent Window A convergence is happening in manufacturing right now that makes this the ideal moment to act and the worst time to wait. Demographic pressures are intensifying. A 2019 Manufacturing Institute survey found that many manufacturers had significant shares of their workforce that were over the age of 55—meaning they would reach retirement age within the decade. I've seen firsthand how this exodus is straining training pipelines, thinning teams and exposing production lines to operational risk. At the same time, the technology has matured. Cloud infrastructure is no longer a barrier, and the latest generation of large language models and computer vision tools has crossed the usability threshold. A small operational excellence team can now pilot in weeks what once required a systems integration army to deploy. Implementation is no longer about technical feasibility—it's about organizational will. Finally, there's competitive pressure. In a 2024 Lucidworks survey (via Reuters), 58% of surveyed manufacturers reported increasing their AI budgets, even amid concerns around accuracy and ROI. Leadership teams recognize that waiting is a strategic risk. To turn urgency into action, manufacturing leaders need a playbook. A Manufacturing-Leadership Playbook To operationalize these ideas, I've outlined five strategic moves with targeted questions and outcomes: Elevate knowledge retention to an enterprise priority. • CEO/COO: How much margin or uptime is at risk when veteran experts depart? • Directors And Plant Managers: Which lines are most exposed to undocumented know‑how? • Outcome: Converts an invisible liability into quantified exposure that merits investment. Launch a rapid-return lighthouse project. • Operations And Quality Leaders: Which high-variance process causes the most scrap, downtime or safety incidents? • Outcome: Demonstrates tangible ROI that can be socialized across sites and functions. Establish cross-functional governance. • CTO And Ops Leadership: Who owns the digital standard once AI drafts it—ops, quality or HR? • Outcome: Creates clear accountability and accelerates scale beyond a single pilot. Integrate front-line feedback loops. • Plant Managers: How will operators flag improvements in real time, and who reviews them? • Outcome: Turns compliance into collaboration, driving continuous process optimization. Align incentives with contribution—not tenure. • All Leaders: How do we recognize the engineer whose AI-generated guide saves 1,000 hours? • Outcome: Converts participation into prestige, boosting engagement and knowledge flow. Looking Ahead In five years, the competitive gap won't be between companies that use AI and those that don't. It will be between companies that scale institutional knowledge and those that must relearn the same lesson every time a badge changes hands. Industrial AI is the bridge between generations of expertise and the autonomous factories of the future. It's a resilience strategy. When James hands over his badge for the last time, the plant that captured his know-how will keep running like he never left—because in digital form, he never really did. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
an hour ago
- Yahoo
Nvidia Stock Can Vault to $220 or Plunge to $100, Based on Select Wall Street Analysts -- but Both Price Targets Completely Overlook a Key Catalyst
Artificial intelligence (AI) looks to be the most impactful innovation for corporate America since the advent and proliferation of the internet more than 30 years ago. Compelling arguments from select Wall Street analysts point to Nvidia stock climbing by up to 55% or potentially losing almost 30% of its value. All Wall Street price targets for Nvidia fail to account for a historically accurate catalyst. 10 stocks we like better than Nvidia › More than 30 years ago, the advent and proliferation of the internet kicked off the greatest leap forward in technological innovation for businesses in a long time. Though a number of next-big-thing innovations have come along since the internet revolutionized how businesses interact with consumers and sell their products and services, none have come close to matching its long-term addressable potential... until now. The rise of artificial intelligence (AI) represents the next great tech advancement that has the ability to alter the long-term growth trajectory for corporate America. Empowering software and systems with AI solutions to make decisions without human intervention gives this technology a jaw-dropping addressable market, which the analysts at PwC have pegged at $15.7 trillion (globally) by 2030. Although a long list of companies has benefited from Wall Street's hottest trend, it's semiconductor titan Nvidia (NASDAQ: NVDA) that's become the face of the AI revolution. As is often the case with businesses on the leading edge of a game-changing innovation, predictions are all over the map. Whereas one Wall Street analyst foresees the most pivotal of all tech stocks soaring to $220 per share, another believes it'll plummet to just $100 per share. Yet what's most interesting is that Wall Street's high- and low-water price targets both completely overlook what can arguably be described as the biggest catalyst for Nvidia. Make no mistake about it, the overwhelming majority of Wall Street analysts and investors believe Nvidia stock is headed higher. But none of these price projections speaks louder than analyst Ivan Feinseth at Tigress Financial, who foresees Nvidia shares adding 55% and heading to $220. If Feinseth is accurate, Nvidia's market cap would near $5.4 trillion. For context, Nvidia had a market valuation of $360 billion when 2023 began. Feinseth's Street-high price target is predicated on sustained strong demand for Nvidia's graphics processing units (GPUs). The Hopper (H100) and successor Blackwell GPUs account for the lion's share of the GPUs currently deployed in AI-accelerated data centers, and demand for this hardware hasn't shown any signs of slowing. As a general rule, when the demand for a good or service outstrips its supply, the price of said good or service is going to climb until demand tapers off. In Nvidia's case, its GPU orders are backlogged, which has allowed the company to charge a healthy premium for its hardware, relative to its direct external competitors. The end result has been a significant uptick in the company's gross margin, compared to prior to the AI revolution taking shape. Feinseth's $220 price target, which was issued in late January, came after a short-lived plunge in Nvidia stock caused by the debut of China-based DeepSeek's R1 large language model (LLM) chatbot. DeepSeek is alleged to have used slower and less-costly hardware from Nvidia to develop its LLM. Feinseth's lofty price target demonstrates confidence that Nvidia will be able to maintain its superior pricing power. On the other end of the spectrum is Seaport Global Investors analyst Jay Goldberg. In late April, Goldberg became the only analyst covering Nvidia to rate its stock as a "sell," and initiated a $100 price target. Based on where Nvidia shares ended the session on June 6, Goldberg's price target intimates a decline of almost 30%. Goldberg doesn't foresee Wall Street's AI darling losing its leading position as the preferred company powering AI-accelerated data centers. But he does believe that AI optimism is fully priced into Nvidia stock given a few variables. To begin with, Goldberg notes that many of Nvidia's top customers by net sales are internally developing AI-GPUs and solutions of their own. Even though these chips won't represent external competition for Hopper, Blackwell, or any successor GPUs, they're going to be notably cheaper and more readily accessible than Nvidia's premium-priced and backlogged hardware. This is potentially problematic to Nvidia landing new orders from its current top customers. Goldberg also believes that enterprise customers will branch out and purchase from other hardware providers. For instance, Advanced Micro Devices' less-costly Instinct MI300X series GPUs, as well as Broadcom's custom AI-accelerating chips, could siphon away some of Nvidia's monopoly like data center market share over time. With enterprise spending on AI-data center infrastructure expected to slow in 2026, per Goldberg, Nvidia stock is currently pricey. While Feinseth and Goldberg both make compelling cases, their arguments -- along with the dozens of other analysts and institutions that have placed a price target on shares of Nvidia stock -- completely overlook a historical catalyst associated with next-big-thing trends and innovations. Though the internet proved to be a game-changing technology, it wasn't a universal winner from the get-go. It took years for businesses to figure out how to optimize their marketing and sales to consumers and other businesses. In other words, it took time for the internet to mature as a mainstream innovation. Since the advent of the internet, we've witnessed a number of other high-profile trends, technologies, and innovations come along that have also endured an early stage bubble-bursting event. This includes (but isn't limited to) genome decoding, business-to-business commerce, nanotechnology, 3D printing, cannabis, blockchain technology, and the metaverse. For more than 30 years, investors have consistently overestimated the timeline to mainstream adoption and/or utility for game-changing innovations. In short, investors aren't giving these hyped trends the proper time or channels to mature. Although Nvidia's sales have skyrocketed from $27 billion to more than $130 billion between fiscal 2023 and fiscal 2025 (its fiscal year ends in late January), most businesses are nowhere close to optimizing their AI solutions as of yet, or even generating a positive return on their AI infrastructure investments. This points to the growing likelihood of an AI bubble forming and, at some point, bursting. To be objective, this doesn't mean Nvidia won't be a long-term winner. The proliferation of the internet eventually sent the stock market soaring. While Feinseth's price target may not be achievable in the near-term, it's certainly within the realm of possibilities as businesses learn how to properly utilize AI solutions and generate a profit from their aggressive AI investments. But this historical correlation between next-big-thing trends and bubble-bursting events also suggests Goldberg is likelier to be right in the coming quarters -- albeit not for the reasons put forth in his research note in late April. Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $660,341!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $874,192!* Now, it's worth noting Stock Advisor's total average return is 999% — a market-crushing outperformance compared to 173% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 9, 2025 Sean Williams has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices and Nvidia. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy. Nvidia Stock Can Vault to $220 or Plunge to $100, Based on Select Wall Street Analysts -- but Both Price Targets Completely Overlook a Key Catalyst was originally published by The Motley Fool