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(SeaPRwire) – By: James Vance, Senior Columnist, International Tech Weekly Local businesses are fighting the wrong SEO battle. They fixate on keyword rankings and backlinks. But their biggest threat isn’t a drop in Google’s results. It’s vanishing entirely from AI-generated answers. That’s the blunt warning from Lauren Mitchell, founder of Entity Signal Labs. She says businesses stuck in 2018’s playbook are missing the new reality of search. Generative search systems now pick which brands get cited, summarized, or ignored. A five-page brochure site worked in 2018. Today, it gives AI too little context to recognize a business’s value. On May 6, 2026, this shift hit home for Minnesota’s Mankato Web Design. The agency expanded its Minneapolis SEO and AI search optimization offerings. For years, local firms relied on Google rankings for traffic and leads. Now tools like Google AI Overviews, ChatGPT, and Gemini answer questions directly. They synthesize info from sources instead of sending users to links. Mankato says sectors like law firms, HVAC companies, and clinics already feel the pinch. Businesses clinging to old tactics risk losing all visibility as AI discovery grows. Search isn’t just a list of links anymore. It’s becoming an assistant-like interface. Consumers will ask questions and get synthesized answers. Businesses need to act as knowledge publishers, not just page optimizers. Mankato’s updated approach covers local SEO, AI optimization, Google Business Profile management, and structured data. Early adapters will lock in an outsized advantage. Those waiting for the old normal to return will find it never comes back. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

Hong Kong - 2026年6月3日 - (SeaPRwire) - 東南亞正在成為全球經濟增長的新引擎，而印尼、泰國和越南則是其中最耀眼的“活力三駕馬車”。為了助力全球企業搶佔東南亞市場紅利，知名媒體服務商 SeaPRwire 今日宣佈，已成功深度打通印尼、泰國和越南三國的本地主流媒體生態，為出海企業構建了直達東南亞億級消費者的公關綠色通道。 印尼的人口紅利、泰國的消費活力以及越南的製造與科技崛起，讓這三個國家成為各行各業出海的必爭之地。然而，東南亞地區語言多樣、媒體形態分散，且各國的宗教文化背景迥異，這給外來品牌的公關傳播帶來了極大的挑戰。SeaPRwire 此次深入本土的拓展，正是為了解決這一痛點。 在印尼，SeaPRwire 強化了與雅加達主流印尼語門戶及高流量社交媒體矩陣的合作；在泰國，平臺無縫對接了曼谷核心的泰語財經與時尚生活類媒體；在越南，則重點佈局了河內與胡志明市的科技、創投以及年輕一代高度依賴的數字媒體。通過這種精細化的本土媒體下沉，SeaPRwire 確保企業的資訊能夠準確、無損地傳達給當地最具消費力的群體。 “開拓東南亞市場，‘接地氣’是第一要素，”SeaPRwire 的東南亞市場總監表示，“我們不僅僅是把英文稿件翻譯成當地語言，更是深入到印泰越三國的媒體生態毛細血管中。我們希望用最符合當地語境的新聞敘事，幫助企業建立起有溫度、有信任度的本土品牌形象。” 關於SeaPRwire SeaPRwire 是亞洲領先的 AI 驅動型贏取媒體（Earned Media）傳播管理平臺，專為公關及傳播專業人士打造。通過其旗艦專案 Branding-Insight，平臺無縫連接超過 8 萬名記者、編輯，以及坐擁 3 億粉絲的 KOL 矩陣。借助先進的 AI 技術，SeaPRwire 幫助用戶精准鎖定媒體目標、定制個性化推介，並全面衡量亞太核心市場（包括日、韓、中及東南亞）的公關傳播效果。 媒體聯絡 公司: SeaPRwire 聯絡: Media team 郵箱: cs@seaprwire.com 網站: https://seaprwire.com

Hong Kong – June 03, 2026 – (SeaPRwire) – Southeast Asia is becoming a new engine of global economic growth, with Indonesia, Thailand, and Vietnam acting as the most dazzling “vibrant troika” among them. To help global enterprises seize the dividends of the Southeast Asian market, renowned media service provider SeaPRwire (https://seaprwire.com) announced today that it has successfully and deeply tapped the local mainstream media ecosystems of Indonesia, Thailand, and Vietnam, building a PR green channel reaching hundreds of millions of consumers in Southeast Asia directly for overseas enterprises. Indonesia’s demographic dividend, Thailand’s consumer vitality, and Vietnam’s rise in manufacturing and technology have made these three countries must-contend spots for all industries going overseas. However, the Southeast Asian region features diverse languages, scattered media forms, and vastly different religious and cultural backgrounds across countries, posing enormous challenges to the PR communication of foreign brands. SeaPRwire’s localized expansion this time is precisely to solve this pain point. In Indonesia, SeaPRwire has strengthened cooperation with mainstream Indonesian-language portals in Jakarta and high-traffic social media matrices; in Thailand, the platform seamlessly interfaced with core Thai-language financial and fashion lifestyle media in Bangkok; and in Vietnam, it focused its layout on technology, venture capital, and digital media highly relied upon by the younger generation in Hanoi and Ho Chi Minh City. Through this refined localized media sinking, SeaPRwire ensures that enterprise information can be accurately and losslessly delivered to the most consumable local groups. “To explore the Southeast Asian market, ‘groundedness’ is the primary factor,” stated SeaPRwire’s Southeast Asia marketing director. “We are not just translating English drafts into local languages; we are penetrating deep into the media ecosystem capillaries of Indonesia, Thailand, and Vietnam. We hope to use news storytelling that best fits local contexts to help enterprises establish a warm and trusted local brand image.” About SeaPRwire SeaPRwire is Asia’s leading AI-driven earned media management platform, purpose-built to empower PR and communications professionals. Through its flagship Branding-Insight Program, the platform connects clients to over 80,000 journalists and an influencer matrix reaching 300 million followers. Leveraging advanced AI, SeaPRwire helps users identify media targets, personalize pitches, and measure PR impact across key APAC markets, including Japan, China, Korea, and Southeast Asia. Media Contact Company: SeaPRwire Contact: Media Relations Team Email: cs@seaprwire.com Website: https://seaprwire.com

(SeaPRwire) – Dr. Elara Voss, a Stanford Digital Economy Lab researcher who’s studied marketplace disruption for a decade, told me SpeakUp’s move isn’t just a gimmick—it’s a litmus test for AI’s role in organizational design. “Most startups bolt AI onto existing teams to cut costs,” she said. “SpeakUp’s flipping the script: their AI agents aren’t tools—they’re the workforce. The real risk isn’t whether AI can handle tasks, but whether it can maintain the trust and consistency that keep marketplaces alive. If this works, we’re looking at a future where companies don’t hire teams—they deploy agent networks.” SpeakUp, a platform connecting event organizers, podcasters, brands, and speakers, has swapped traditional departments for 31 specialized AI agents. These agents handle everything from outbound sales and user onboarding to customer support and content creation. Since its public launch in 2025, the platform has grown to over 100,000 users across 28 countries and nine languages. Its matching engine cuts weeks of manual outreach down to minutes, using criteria like topic expertise, language, budget, audience profile, and geographic availability. The biggest leap is its Model Context Protocol integration—users can chat with SpeakUp directly through AI assistants like Claude or ChatGPT, describing their speaker needs in natural language and getting recommendations, outreach help, and booking support all in one conversation. Unlike traditional speaker bureaus that take commissions, SpeakUp uses a subscription model, letting speakers keep all their booking fees while enabling direct engagement between both sides of the marketplace. The shift from AI-powered to AI-native businesses is no longer theoretical. The first wave of AI adoption focused on productivity tools layered onto existing structures. Now we’re seeing companies redesign themselves from the ground up with AI at their core. Marketplaces are especially ripe for this change—their value chains revolve around matching, communication, qualification, scheduling, and relationship management, all areas where AI agents are advancing rapidly. Over the next few years, expect more platforms to shrink their human teams as digital agent networks take on increasingly complex operational roles. Success won’t come easy—consistency and trust are hard to scale with AI alone. But one thing is clear: the conversation has moved past AI as a feature. We’re now debating whether AI can be the operating system of a business itself. SpeakUp is one of the first to test this in public, and its journey will shape how we think about building companies for years to come. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

(SeaPRwire) – By: James Vance, Senior Columnist permanently stationed at a top-tier international tech weekly Every tech startup claims it uses AI today. Almost all just bolt AI onto existing human teams. Almost no one dares test letting AI run the whole company. We’ve talked about AI replacing work for years. No major player has tested replacing an entire full-service marketplace. Industry executives keep saying full AI operations are decades away. A small speaker booking platform just called that widespread assumption bluff. SpeakUp launched publicly to users in 2025. One year later, it serves over 100,000 people across 28 countries. It supports nine full languages, all run entirely by AI. More than 31 specialized AI agents handle work that once needed multiple human teams. Those tasks include outbound sales, onboarding, customer support, content creation, marketplace management and lifecycle marketing. The platform connects event organizers, podcasters, brands and speakers directly. Its matching engine cuts weeks of manual outreach down to a shortlist in minutes. It integrates with Model Context Protocol to work directly inside Claude or ChatGPT. Users get full recommendation, outreach and booking support without leaving their AI conversation. Unlike traditional speaker bureaus that take large commissions, it uses a subscription model. Speakers keep 100% of their booking fees and engage directly with buyers. The first wave of AI adoption only made existing human workers faster. It never changed the basic cost structure of a startup. This new wave does not treat AI as an add-on feature. It rebuilds the entire company from top to bottom around AI. Marketplaces are uniquely exposed to this shift. Most of their core value chain relies on matching, communication and scheduling. Those are exactly the tasks where AI agents are improving fastest. Traditional startup headcount models will become outdated much faster than most CEOs expect. Most new digital marketplaces will launch with skeleton human teams by 2030. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

(SeaPRwire) –   I was chatting with Elena Vance the other day, a former CISO for a major retail chain who now consults on physical-digital convergence security. When I brought up digital signage, she didn’t mince words. “We’ve been asleep at the wheel,” she said. “For years, we treated these networks like glorified PowerPoint slideshows. But every one of those screens is now a data endpoint, often with laughably weak credentials, sitting on the same network as your point-of-sale and inventory systems. The industry’s obsession with 4K pixels is blinding it to the gaping security holes. The real innovation now isn’t a brighter display; it’s a verifiably secure one. Vendors who can’t prove their entire stack is locked down aren’t just selling a product; they’re selling a future breach.” Her point was stark. The battleground has fundamentally shifted. That shift is exactly what’s driving a new, more rigorous approach to security validation in the sector. The old mindset saw digital signage as a passive broadcast tool. Today, these networks are deeply integrated, processing live data, connecting to cloud platforms, and interacting with core business systems across thousands of locations. As cybersecurity veteran Michael Harrington points out, this turns every component—the device, its firmware, the management software—into a potential entry point for attackers. This evolving threat landscape is why enterprises are moving beyond one-time compliance checkboxes. They’re demanding evidence that security controls are consistently effective over time. A recent example is Skykit’s completion of a SOC 2 Type 2 attestation. This isn’t your basic security questionnaire. Conducted by an independent auditor under AICPA standards, a Type 2 audit examines how security practices actually function over a period of months. Skykit’s audit covered their entire ecosystem: the Beam content platform, the Control device management software, media player firmware, and even hardware elements. For customers in regulated industries like healthcare, finance, or manufacturing, this depth matters. These organizations rely on digital signage to broadcast sensitive operational data and critical communications. A vulnerability in a media player’s firmware or a lapse in the cloud management platform isn’t just a glitch; it’s a direct operational and compliance risk. The audit specifically looked at whether controls for access management, data encryption, incident response, and monitoring weren’t just documented policies but were actively and reliably enforced. It’s about proving operational resilience, not just having a security manual on a shelf. So where does this leave the digital signage market? We’re at an inflection point. The proliferation of IoT and the push for smarter, data-driven physical spaces means screens are becoming more numerous and more intelligent. They’re not just displaying content; they’re collecting environmental data, facilitating transactions, and acting as interfaces for enterprise software. This deep integration makes them a natural target and raises the stakes for governance and risk management. The competitive landscape is being rewritten. Flashy content creation tools and bezel-less displays are becoming table stakes. The true differentiator for enterprise buyers is shifting toward demonstrable, end-to-end operational trust. Procurement teams, burned by supply chain attacks and ransomware, are applying the same scrutiny to signage vendors as they do to their core IT infrastructure providers. The vendors who will win major contracts are those who can transparently validate their security posture across the entire stack—cloud, device, firmware, network. In this new reality, a rigorous security audit isn’t a cost of doing business; it’s the foundation of the sales pitch. The quiet background screen has become a frontline defense, and everyone’s finally starting to notice. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

(SeaPRwire) – By: James Vance, Senior Columnist, International Tech Weekly Most enterprise teams still vet digital signage vendors like they did 10 years ago. Modern screens aren’t just display tools, either. They’re connected endpoints that process data and link to internal systems. That gap is the quiet anxiety driving the sector’s latest shift. Cybersecurity consultant Michael Harrington has 20+ years advising Fortune 500 firms. He says modern display networks span thousands of locations. Earlier this week, Skykit announced a SOC 2 Type 2 audit completion. This review covers their full platform, not just cloud apps. It checks Beam content tools, Control management software, firmware, and hardware. The audit was conducted by an independent third-party auditor, following AICPA standards, and runs over an extended period. It also evaluated access controls, encryption, incident response, and continuous monitoring. Regulated industries like healthcare and manufacturing rely heavily on these networks now. Any weak spot can trigger broad operational risks. For enterprise buyers, this shift isn’t just a compliance checkbox anymore. Vendors that prove end-to-end security across all layers will gain an edge. Procurement teams are already applying far stricter standards. The next market battle won’t be about flashy displays—it’ll be about verified trust. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

NEWARK, DE – 04/06/2026 – (SeaPRwire) – For years, the tech industry has talked about AI replacing repetitive tasks. Very few companies have been willing to test what happens when AI becomes the workforce itself. That’s why SpeakUp’s latest experiment caught my attention. I recently spoke with Ethan Caldwell, a London-based marketplace strategist who has spent over 15 years advising SaaS startups and platform businesses across Europe and the Middle East. His view on SpeakUp’s transformation was surprisingly blunt. “Most startups use AI to make people slightly more productive,” Caldwell told me. “What SpeakUp is attempting is structurally different. They’re treating AI as the company, not the software feature. The real question isn’t whether AI can write emails or schedule meetings anymore. It’s whether a network of autonomous agents can operate an entire marketplace with enough consistency to replace traditional departments.” He believes the bigger disruption isn’t happening in the speaker industry itself. Instead, it may signal a shift in how digital businesses are built. If a marketplace can acquire customers, qualify leads, manage operations, support users, and drive growth with AI agents overseeing each workflow, the traditional startup headcount model could start looking outdated much faster than many executives expect. That context makes SpeakUp’s latest milestones particularly interesting. The platform, which connects conference organizers, podcasters, brands, media companies, and speakers, has evolved far beyond a typical booking marketplace. According to the company, more than 31 specialized AI agents now handle functions that would traditionally require multiple teams, including outbound sales, onboarding, customer support, content creation, marketplace management, and lifecycle marketing. The company claims this AI-operated model now supports a user base that has surpassed 100,000 people across 28 countries and nine languages, only a year after its public launch in 2025. While many technology firms market themselves as “AI-powered,” SpeakUp is positioning itself around a different narrative altogether: being AI-native from top to bottom. The product itself reflects that philosophy. Its matching engine automatically connects event organizers with suitable speakers based on criteria such as topic expertise, language, budget, audience profile, and geographic availability. What traditionally involved weeks of manual outreach can now be narrowed into a shortlist within minutes. Perhaps the most ambitious development is the platform’s integration with Model Context Protocol (MCP). Through this approach, organizers can interact with SpeakUp directly inside AI assistants such as Claude or ChatGPT. Instead of browsing databases or contacting agencies, users can describe the type of speaker they need in natural language and receive recommendations, outreach assistance, and booking support within the same conversation. The model also challenges long-standing economics in the speaker industry. Traditional speaker bureaus often rely on commissions and intermediary relationships. SpeakUp takes a subscription-based approach, allowing speakers to keep their booking fees while enabling direct engagement between both sides of the marketplace. Looking beyond one company, the bigger story is the emergence of AI-native businesses. The first wave of AI adoption focused on productivity tools layered on top of existing organizations. The next wave appears focused on redesigning organizations themselves. Marketplaces are especially vulnerable to this shift because so much of their value chain revolves around matching, communication, qualification, scheduling, and relationship management. These are precisely the areas where AI agents are advancing most rapidly. Over the next few years, we may see more platforms where human teams become smaller while digital agent networks handle increasingly complex operational responsibilities. Whether every AI-native company succeeds is another question entirely. But one thing feels increasingly clear: the conversation has moved beyond AI as a feature. The real debate now is whether AI can become the operating system of a business itself. SpeakUp is among the first companies trying to answer that question in public.

MINNEAPOLIS, MN – 04/06/2026 – (SeaPRwire) – For years, digital signage sat quietly in the background of enterprise technology stacks. Screens displayed announcements, dashboards, promotional content, and operational updates. Few people questioned whether those displays could become security liabilities. That assumption is rapidly disappearing. According to cybersecurity analyst Michael Harrington, a veteran consultant who has advised Fortune 500 companies on infrastructure security for more than two decades, the biggest shift happening in enterprise display networks is that organizations are beginning to view screens as connected endpoints rather than passive communication tools. “Many companies still evaluate digital signage vendors the same way they did ten years ago,” Harrington said. “What they often overlook is that modern display networks process data, connect to cloud platforms, interact with internal systems, and operate across thousands of locations. The security conversation can no longer stop at the software layer. Every device, firmware component, and management system becomes part of the attack surface.” That perspective helps explain why recent security validation efforts across the industry are drawing increased attention. As enterprises expand connected infrastructure, they are demanding stronger evidence that vendors can maintain secure operations over time rather than simply passing one-time compliance checks. One example comes from Skykit, an enterprise digital signage provider that recently completed a SOC 2 Type 2 attestation covering its entire platform ecosystem. Unlike assessments that focus primarily on cloud applications, the review examined a broad range of operational components, including the company’s Beam content management platform, Control device management software, media player firmware, and hardware-related elements. The attestation was conducted by an independent third-party auditor under standards established by the American Institute of Certified Public Accountants (AICPA). Rather than evaluating security controls at a single point in time, a SOC 2 Type 2 review examines how those controls function throughout an extended observation period, offering insight into the consistency of an organization’s security practices. For enterprise customers, particularly those operating in highly regulated industries, the distinction is significant. Manufacturing groups, healthcare providers, retailers, educational institutions, and large corporate organizations increasingly rely on digital display networks to distribute operational data and business-critical communications across multiple sites. Any weakness within device management systems, firmware, or cloud infrastructure can potentially create broader operational risks. Skykit’s leadership argues that comprehensive validation across software, firmware, and hardware layers reflects the realities of today’s enterprise environments. The company states that the audit evaluated areas such as access management, encryption practices, incident response procedures, and continuous monitoring capabilities. The result provides independent verification that these controls remained active and effective over time rather than existing solely as documented policies. Looking ahead, the digital signage sector appears to be entering a new phase where security credentials may become as important as display quality or content management features. Enterprises are connecting more screens, collecting more operational data, and integrating signage systems more deeply into business workflows. That trend naturally raises expectations around governance, risk management, and compliance. The next generation of competition in this market may not revolve around who offers the most eye-catching display experiences. Instead, it could be determined by which providers can demonstrate end-to-end operational trust. Vendors capable of validating security across cloud services, devices, firmware, and network infrastructure are likely to gain an advantage as procurement teams apply increasingly rigorous standards. In that sense, security audits are evolving from compliance exercises into strategic differentiators. What once served as a checkbox requirement is becoming a measurable indicator of long-term reliability, and enterprises are paying close attention.

(SeaPRwire) –   I had a call with Elena Rodriguez, a veteran product strategist who’s spent the last decade helping SaaS companies navigate the messy integration of analytics, and her take on Qrvey’s latest recognition was refreshingly blunt. “Another year, another leadership quadrant. Frankly, the consistency is more impressive than the placement,” she said. “In embedded analytics, the real battle isn’t for the flashiest AI feature—it’s for operational sanity. SaaS teams are drowning in the complexity of building and maintaining their own data stacks. A platform that scores perfectly on customer recommendations for five years straight isn’t just selling widgets; it’s selling peace of mind. It tells me they’ve figured out the unsexy stuff: integration that doesn’t break, support that actually knows your stack, and a cost model that doesn’t explode. That’s the bedrock. The AI-native stuff is the house you build on top.” Her point cuts through the hype. In a market screaming about AI, sustained customer loyalty might be the most advanced algorithm of all. Diving into the specifics, Qrvey’s recognition comes from the 2026 Wisdom of Crowds Business Intelligence Market Study by Dresner Advisory Services. This isn’t an analyst’s opinion piece; the study’s entire methodology is built on direct feedback from the people actually using these platforms. For the fifth year running, Qrvey has been flagged as a leading vendor, and this time they landed leadership spots in two key models: Customer Experience and Vendor Credibility. They also got tagged as a High Value/Low Total Cost of Ownership provider. Technically, they landed in the upper-right quadrant across three collective models, which is research-firm speak for scoring high on both product strength and vendor execution. The customer feedback highlighted some concrete strengths. Howard Dresner from the research firm pointed out that Qrvey’s ratings beat the industry average in almost every category. Where did users give them especially high marks? Things like understanding business needs, product flexibility, and integration capabilities. The consulting services and technical support got nods, and even organizational integrity was called out. Perhaps the most telling stat is that perfect customer recommendation score, a streak they’ve maintained for half a decade now. Qrvey’s CEO, Arman Eshraghi, linked the recognition to the broader shift toward AI in software, arguing that a solid embedded analytics foundation has become even more critical. The platform itself is built for multi-tenant SaaS environments, aiming to let product teams embed analytics, automation, and AI-driven features without having to construct the underlying data infrastructure from scratch. The goal is to speed up deployment while giving end-users self-service capabilities. Looking at the bigger picture, this isn’t just about one company’s report card. It’s a signal flare for where the embedded analytics market is heading. As every SaaS product under the sun scrambles to add AI-powered experiences, the analytics layer is shifting from a nice-to-have dashboard to the core nervous system of the application. It’s what turns raw operational data into the fuel for those AI features. This evolution puts immense pressure on the underlying platform. It needs to be scalable, secure, and seamlessly integrated—flaws here will cripple the fancy AI built on top. That’s why customer-centric studies like Dresner’s are becoming a crucial gut-check. In a landscape crowded with vendors promising the moon, the long-term satisfaction of existing customers is a powerful filter. It separates vendors who deliver sustainable value from those who just sell a dream. The trend is clear: the winners in the embedded analytics space won’t necessarily be the ones with the most buzzwords, but the ones that master the grind of reliability, adaptability, and genuine partnership. That’s the quiet work that earns a standing ovation, year after year. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

(SeaPRwire) –   The AI gold rush is entering a more pragmatic phase. For the past two years, the industry has been obsessed with training massive models, but the real bottleneck today is the transition from a cool demo to a production-grade inference engine. I recently sat down with Marcus Thorne, a veteran infrastructure architect who has spent decades navigating the transition from legacy data centers to the cloud-native era. His take on the latest move by QumulusAI and Shadeform is telling: “We are finally seeing the ‘infrastructure-as-a-commodity’ myth collapse. Companies are realizing that you can’t just rent generic compute and expect to scale inference reliably. This partnership isn’t just about adding nodes; it’s about securing a predictable, high-performance supply chain for the next wave of AI applications. The market is moving away from the ‘any GPU will do’ mentality toward a model where dedicated, long-term capacity is the only way to survive the production grind.” The numbers behind this collaboration are straightforward but significant. QumulusAI and Shadeform have locked in a two-year deal to deploy 85 NVIDIA H200 nodes—split into 61-node and 24-node clusters—at QumulusAI’s Kansas City facility. This isn’t a speculative play; it’s a direct response to the massive, scaling demand from production inference networks that need more than just intermittent cloud access. By marrying QumulusAI’s distributed data center strategy with Shadeform’s marketplace, the two companies are effectively creating a shortcut for enterprises that are tired of the procurement headaches and volatility of the broader GPU market. QumulusAI is leaning hard into its “infrastructure-first” identity, backed by a $45 million convertible note facility that gives them the capital to move fast. They’ve built a network capable of deploying fully operational GPU-as-a-Service environments in under 90 days, a timeline that feels like lightspeed in an industry often bogged down by supply chain friction. For Shadeform, this is a strategic play to offer their users a more reliable, dedicated tier of compute, moving beyond the fragmented nature of typical GPU marketplaces to provide something that actually feels like enterprise-grade infrastructure. Looking at the broader landscape, we are witnessing a fundamental pivot in how AI compute is consumed. The era of “cloud-agnostic” experimentation is giving way to a need for deep, vertical integration. As inference workloads grow, the cost of latency and the risk of supply instability become existential threats to AI startups. We’re going to see more of these “infrastructure-as-a-partnership” models, where compute providers and deployment platforms form tight, long-term alliances to guarantee capacity. The winners in the next three years won’t necessarily be the ones with the most capital, but the ones who have secured the most predictable, high-performance compute pipelines. Infrastructure availability is no longer just a technical hurdle; it is the primary competitive moat. If you can’t guarantee your inference engine has the H200s it needs when the traffic spikes, your model’s performance—and your business model—will eventually hit a wall. The Kansas City deployment is a clear indicator that the industry is maturing, prioritizing reliability and long-term commitment over the fleeting convenience of the public cloud. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

TYSONS CORNER, VA – 03/06/2026 – (SeaPRwire) – As software companies increasingly integrate artificial intelligence, automation, and self-service analytics into their products, demand is growing for embedded analytics platforms that can scale efficiently while delivering strong customer experiences. In this evolving market, customer satisfaction and long-term platform performance have become key indicators of vendor success. Reflecting these trends, Qrvey has once again been recognized among the leading providers in the business intelligence and analytics sector. Qrvey, an AI-native embedded analytics platform developed for SaaS companies, announced that it has achieved multiple leadership distinctions in the 2026 Wisdom of Crowds® Business Intelligence Market Study published by Dresner Advisory Services. The recognition marks the fifth consecutive year the company has been identified as a leading vendor in the annual industry assessment. The latest report highlights Qrvey’s strong performance across several evaluation categories based entirely on customer feedback. According to the study, the company earned leadership positions in the Customer Experience Model and Vendor Credibility Model, while also being recognized as a High Value/Low Total Cost of Ownership (TCO) provider. Qrvey achieved placement in the upper-right quadrant of all three collective evaluation models, indicating high ratings for both product capabilities and overall vendor performance. The results suggest continued customer confidence in the company’s ability to deliver embedded analytics solutions that align with evolving SaaS market requirements. Howard Dresner, Founder and Chief Research Officer of Dresner Advisory Services, noted that Qrvey’s ratings remained consistently above industry averages across nearly every measured category in the 2026 study. He highlighted several areas in which the company received particularly strong customer evaluations, including understanding customer business needs, flexibility, product integration, consulting services, technical support continuity, and organizational integrity. The report also marks the fifth consecutive year that Qrvey has achieved a perfect customer recommendation score, a distinction that underscores sustained customer satisfaction and loyalty over an extended period. Unlike analyst-driven assessments, the Wisdom of Crowds® Business Intelligence Market Study relies exclusively on direct customer input to evaluate business intelligence vendors. Companies are assessed using Dresner Advisory Services’ proprietary 33-measure evaluation framework, which examines product capabilities, customer experience, vendor performance, and overall value delivered to users. According to Qrvey Founder and CEO Arman Eshraghi, the growing role of AI within software products has increased the importance of embedded analytics infrastructure. He stated that the company’s continued recognition reflects not only product innovation but also its commitment to long-term customer relationships, flexibility, and measurable business outcomes. Designed specifically for multi-tenant SaaS environments, Qrvey’s platform enables software providers to embed analytics, automation, AI-driven experiences, and customer-facing insights directly into their products without the need to build and maintain complex analytics infrastructure internally. The platform focuses on helping product teams accelerate deployment while delivering secure, scalable, and self-service analytics capabilities to end users. As SaaS providers continue investing in AI-powered product experiences, embedded analytics platforms are expected to play an increasingly important role in helping organizations transform operational data into actionable insights. Industry recognition based on customer feedback may serve as an important benchmark for vendors competing in this rapidly evolving market. About Qrvey Qrvey is a provider of multi-tenant embedded analytics solutions designed specifically for SaaS companies. Its AI-native platform combines self-service analytics, automation, and AI-powered insights within a cloud-native architecture. By enabling software providers to integrate advanced analytics directly into their applications, Qrvey helps organizations enhance customer experiences, improve product agility, and support long-term business growth.