Technology News
BeFound Social CEO Announces Industry Shift: AI to Split Marketing Agencies Into Two Groups
The Future of Marketing Agencies According to Muhammad Maarij Zeeshan, founder and CEO of BeFound Social LLC, a marketing agency specializing in AI-powered solutions for B2B companies globally, the traditional marketing agency model is at risk of becoming obsolete within the next 36 months. In his recent analysis, Zeeshan explains that AI will not eliminate marketing agencies entirely, but rather push them toward two distinct paths: automation-intensive or production-intensive. The Industry Divide: Automation-Intensive vs. Production-Intensive Zeeshan highlights that the future of marketing agencies hinges on their ability to adapt. Agencies that attempt to be generalists offering a broad range of services will struggle to keep up with automation. Those that fail to choose a clear path could find themselves outpaced by more specialized firms. "The traditional SMMA model is dead," Zeeshan states. "Agencies will either become automation-intensive leveraging AI to run marketing at scale or production-intensive, focusing on what AI can't do yet, like mass creative production and personal branding. There's no middle ground anymore." The Two Paths Forward According to Zeeshan's analysis, the marketing industry is splitting into two distinct categories: Automation-Intensive Agencies: These firms use AI-powered tools to handle lead qualification, nurturing, and conversion at scale. They build systems that run 24/7 without constant manual intervention, operating as complete marketing departments rather than specialists. Production-Intensive Agencies: These agencies focus on creative output AI cannot replicate high-touch personal branding, mass creative production for platforms like TikTok and Instagram, and strategic consulting that requires human intuition and relationship building. "Businesses don't need 'a Facebook ads person' anymore," Zeeshan explained. "They need a flywheel running on autopilot. The ad copy matches the landing page, the landing page triggers the right automation, the automation routes to the right person, the follow-up happens in minutes not days. One gap in that system and you're leaking money." Real-World Application: The Full-Stack Model BeFound Social represents the automation-intensive path. The agency has built what Zeeshan calls a "full-stack marketing department" model integrating advertising, AI-powered automation workflows, CRM systems, and content strategy into unified systems for B2B service companies, coaches, and agencies. Unlike traditional agencies that specialize in one element and force clients to coordinate between multiple freelancers, BeFound Social owns the entire funnel from traffic source to closed deal. "Most businesses still hire like it's 2015," Zeeshan noted. "A copywriter here, a designer there, a Facebook ads person, maybe an automation consultant. They end up with five freelancers who've never spoken to each other, systems that don't talk, and a funnel with twelve different leak points." The results speak to the model's effectiveness. BeFound Social has generated over $2 million in enterprise value for clients across 10+ countries, delivering measurable success for businesses in various industries without relying on venture capital funding. Key client outcomes include: Healthcare recruitment startup: Generated $1M+ pipeline, $150K in realized revenue, and secured $200K in VC funding within 18 months An AI automation agency who built over $500K+ pipeline through systematic email marketing, lead generation and automation Coaches, creators and service businesses generating over 10,000,000+ in impressions across multiple niches and platforms From Curiosity to Systems Thinking Zeeshan's path to this insight was unconventional. Four years ago, as a broke college student from a family of 9-to-5 employees with no entrepreneurial background, he offered free LinkedIn ghostwriting to founders, seeking to understand how successful entrepreneurs think differently. "Those sessions turned into something closer to therapy," Zeeshan recalled. "I worked with roughly 30 founders and discovered a pattern: brilliant people who struggled to make their vision accessible to regular people. That insight became the foundation helping businesses 'BE FOUND' through 'SOCIAL' media by making complex ideas understandable and actionable." That foundation evolved into BeFound Social's current model: full-stack marketing systems powered by AI automation platforms. Industry Recognition and Strategic Partnerships Zeeshan's analysis of the industry's evolution has gained attention beyond his client work. He was recently featured on "Founders Future," a podcast by Closers.io which is run by Cole Gordon, a renowned agency owner and sales expert, discussing the future of marketing agencies in the age of AI. In 2024-2025, BeFound Social secured strategic partnerships with Hexona Systems , a global AI automation agency with partnerships across Make.com, OpenAI, Zapier, and Grok. Maarij also co-launched an educational bootcamp with AI educator Hamza Baig , teaching the next generation of AI automation operators on how to build and sell AI Automations for businesses that need them. The Urgency of the Shift Zeeshan emphasizes that this industry split isn't theoretical - it's happening now. As AI capabilities expand and automation tools become more sophisticated, agencies that haven't chosen a path will find themselves competing against specialists who have. "We're at the tipping point," Zeeshan concluded. "The question isn't whether marketing agencies will adopt AI - it's whether they'll survive if they don't. Agencies need to decide: Are you building systems that run 24/7, or are you creating what AI can't replicate? Both paths can win. But trying to be everything to everyone? That's the path to obsolescence." What This Means for B2B Businesses For companies evaluating marketing partners, Zeeshan's analysis offers a framework: Determine whether you need systems that scale (automation-intensive) or creative production AI cannot match (production-intensive), then hire accordingly. "The old model of hiring an agency that 'does marketing' is dying," Zeeshan said. "Businesses need to get specific about what problem they're solving. Do you need a marketing department that runs on autopilot? Or do you need mass creative production and personal brand building? Those require different partners now." About BeFound Social LLC: BeFound Social LLC is an AI-powered marketing agency specializing in full-stack marketing systems for B2B service companies, coaches, creators, and agencies. Founded in 2021 by Muhammad Maarij Zeeshan, the agency serves clients globally offering services like Facebook advertising and lead generation, AI-powered automation workflows, conversion-optimized funnel systems, and strategic content creation for Instagram, TikTok, and LinkedIn. BeFound Social operates on a full-stack model, integrating traffic generation, lead qualification, nurturing, and conversion into unified marketing departments that run on autopilot. Media Contact: Muhammad Maarij Zeeshan CEO & Founder BeFound Social LLC Email: [email protected] Website: befoundsocial.co LinkedIn: Muhammad Maarij Zeeshan Instagram: BeFound Social / @maarijzeeshan Instagram: Muhammad Maarij Facebook: Muhammad Maarij Zeeshan
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- November 28, 2025Technology
Sarat Piridi Recognized in 2025 Global Recognition Awards for Technology Leadership
Sarat Piridi has earned a 2025 Global Recognition Award for his distinguished contributions to enterprise automation, AI-driven modernization, and cloud architecture. With more than 13 years of experience, he is recognized for designing large-scale intelligent systems that have strengthened digital transformation efforts across multiple global industries, including financial services, energy, government, and technology. Sarat’s career is defined by high-impact technical leadership, where he has architected mission-critical solutions using Microsoft Power Platform, Azure AI, and cloud-native automation frameworks. His work has enabled organizations to unify complex workflows, modernize legacy environments, and deploy enterprise-grade governance models focused on security, scalability, and operational continuity.150 deployments single-handedly, applying Azure AD groups and Dataverse roles to ensure both efficiency and enterprise-grade security compliance. Innovation Across Systems And Industries Sarat has played a pivotal role in enabling organizations to transition from outdated systems to modern, cloud-based platforms aligned with best practices. His frameworks reduce operational friction, improve collaboration, and enable teams to adopt automation at scale. These contributions reflect the level of original, high-value innovation typically associated with leading experts in the field. He also actively participates in Microsoft developer communities and has provided consulting support to several U.S. state government agencies. His involvement in public-sector modernization demonstrates his commitment to applying intelligent automation where it directly enhances citizen services, government efficiency, and long-term digital capability. Professional Excellence And Community Impact Sarat’s professional excellence is reflected not only in the solutions he delivers but also in his expanding portfolio of research and thought leadership. He has authored multiple research papers and white papers on intelligent automation, AI governance, agentic systems, and public-sector modernization. His work has appeared in respected academic and practitioner-oriented venues, including IEEE, Springer, and Taylor & Francis publications, providing practical and research-backed frameworks that guide organizations through secure and scalable digital transformation. These contributions have helped technology leaders and government agencies apply modern automation strategies across complex operational landscapes. Beyond his research efforts, Sarat has been an active contributor to the global Power Platform and Microsoft developer communities since 2017, sharing best practices, mentoring emerging professionals, and fostering open knowledge-sharing. His advanced certifications, including PL-600, PL-400, AI-102, and AZ-204, reinforce his commitment to continuous learning and technical depth. Through his writing, mentorship, and community engagement, Sarat has helped shape industry standards in intelligent automation and cloud governance, strengthening the broader ecosystem and further establishing his reputation as a respected leader in the field. Final Words “Sarat Piridi’s recognition sets a benchmark for industry transformation and strategic vision in technology,” remarked Alex Sterling of Global Recognition Awards. “His achievements illustrate how combining specialized expertise with leadership can produce lasting value and operational performance for enterprises facing new digital frontiers.” Recent technology integration trends for 2025 indicate a 50 percent reduction in sales query latency and a 60 percent increase in deployment speed, reflecting the widespread adoption of advanced automation and AI-driven efficiency. Sarat’s ongoing work positions organizations for next-level growth, and his designs create enduring value through sustainable governance and adaptable frameworks, supporting digital transitions across various industry sectors. About Global Recognition Awards Global Recognition Awards is an international organization that recognizes exceptional companies and individuals who have significantly contributed to their industry.
- November 28, 2025Technology
Sarat Piridi Wins 2025 Global Recognition Award for Advancing Enterprise Technology
Sarat Piridi secured a 2025 Global Recognition Award for his exceptional leadership in intelligent automation and enterprise-scale modernization. Over more than 13 years, he has consistently demonstrated the ability to architect transformative digital ecosystems, bringing together AI, low-code innovation, and secure cloud design to support large organizations navigating rapid technological change. Photo Courtesy of Sarat Piridi Sarat’s expertise blends hands-on technical depth with strategic insight, enabling enterprises to transition from fragmented processes to unified, resilient digital operations. His architectural vision emphasizes governance, system reliability, and sustainable automation principles, which have enabled organizations across the finance, energy, government, and technology sectors to scale with confidence and adopt next-generation digital capabilities. Technical Innovation And System Advancement Throughout his career, Sarat has developed enterprise-grade applications that streamline complex workflows, centralize operations, and improve overall transparency across hundreds of internal users. His solutions incorporate AI-driven insights, automated data processing, and robust security models that support operational continuity across large, distributed teams. Sarat’s work demonstrates a sophisticated understanding of how to integrate predictive analytics, modern cloud services, and scalable automation frameworks into mission-critical environments. By modernizing outdated systems and introducing cloud-native architectural patterns, he has helped organizations achieve measurable efficiency gains and long-term digital resilience. Innovation Across Industries and System Evolution Sarat has consistently delivered modernization strategies that connect legacy infrastructure with modern cloud capabilities, enabling organizations to reduce manual effort, strengthen compliance, and accelerate transformation initiatives. From advanced data extraction pipelines to governance-first automation frameworks, his systems are designed to be both adaptable and strategically aligned with enterprise growth. His work reflects a deep commitment to building intelligent, sustainable architectures that support informed decision-making, minimize operational friction, and enhance the performance of both enterprise and public-sector environments. Community Influence And Professional Excellence Sarat’s impact is equally defined by his contributions as an author and researcher. His book, GovOps with Microsoft Power Platform and Copilot: Automating Governance, has earned recognition within both government and enterprise technology circles for its practical, modern approach to public-sector digital transformation. The book presents an end-to-end framework for applying AI, automation, and low-code tools to streamline government operations, improve citizen services, and strengthen security and compliance. The frameworks introduced in GovOps, including automation governance models, modernization roadmaps, and agentic-AI-driven workflow, have been referenced by practitioners, consultants, and technology teams seeking scalable, standards-aligned modernization strategies. Its publication has helped establish Sarat as a thought leader whose ideas directly influence how modern government agencies evaluate and implement digital transformation initiatives. Alongside his authorship, Sarat has produced numerous research papers and white papers on intelligent automation, AI governance, and agentic system design, many of which have been published in respected venues associated with IEEE, Springer, and Taylor & Francis. Since 2017, he has also been an active contributor to the global Power Platform and Microsoft developer communities, mentoring professionals, sharing best practices, and advancing the collective knowledge base around low-code architecture and cloud governance. His portfolio also includes the development of several high-impact frameworks, such as his automation governance models, agentic AI architectures, and lifecycle management standards for large-scale digital systems, which are increasingly referenced by practitioners and public-sector teams modernizing their operations. In addition, Sarat has advanced multiple patent initiatives in intelligent automation and legacy-system modernization, including innovations involving agentic AI workflows, validation systems, and cloud-integrated orchestration methods. Taken together, his book, research contributions, original frameworks, and patent work reinforce Sarat’s standing as a leading innovator in intelligent automation and enterprise modernization. Final Words Alex Sterling from Global Recognition Awards reflected on Sarat’s achievements: “Sarat Piridi consistently merges advanced technical capabilities with a forward-thinking approach, delivering clear performance gains through reduced latency and streamlined deployment procedures that support enterprise growth.” This award highlights Sarat’s ability to drive operational effectiveness and organizational transformation, establishing a new standard for how enterprises approach efficiency, security, and sustainability. His contributions to integrating innovation, governance, and strategic vision have shaped competitive advantages that extend beyond the initial implementation, fueling ongoing advancements in the rapidly evolving digital space. About Global Recognition Awards Global Recognition Awards is an international organization that recognizes exceptional companies and individuals who have significantly contributed to their industry.
- November 28, 2025Technology
NAKIVO Receives 2025 Global Recognition Award for Reliable Data Protection and Service Excellence
NAKIVO has received the 2025 Global Recognition Award for demonstrating technical skill and reliable performance in information security solutions. The award recognizes the company’s ongoing efforts to enhance backup technologies, support resilience, and help organizations minimize operational disruptions. An assessment of performance, operational improvement, and clear outcomes provided a transparent understanding of the company’s current position in the sector. Photo Courtesy of NAKIVO The award process relied on expert appraisal, coupled with a structured scoring system that used standardized criteria for all nominees. Evaluators considered NAKIVO’s continuous technical enhancements and the practical effectiveness of its security-first approach. The judging group highlighted the demonstrated improvements and steady support for effective information management, naming NAKIVO a dependable provider of data protection for 2025 and the years to follow. Expertise in Information Management and Recovery NAKIVO has demonstrated its ability to support clients by providing advanced, cyber-resilient data protection and rapid recovery capabilities that ensure business continuity. The solution supports multiple platforms, including VMware, Proxmox VE, Hyper-V, Nutanix AHV, and Microsoft 365, enabling organizations to streamline their backup operations. Compatibility with established cloud providers allows businesses to manage digital assets effectively, ensuring reliability while maintaining flexibility. Evaluation of user feedback revealed quantifiable benefits in productivity and operational dependability. Customers emphasized the value of faster backup performance, immutability against ransomware, encryption, and built-in malware scanning, helping keep recovery points secure and uncompromised. Real-time replication and Site Recovery enable organizations to maintain an up-to-date secondary copy of their virtual workloads, ensuring rapid failover in the event of outages or security incidents. Instant recovery features allow businesses to restore VMs, files, and applications in minutes, significantly reducing downtime and maintaining operational continuity. Industry observers have highlighted these capabilities as key contributors to NAKIVO’s recognition. Performance, Inclusive Support, and Consistent Improvement NAKIVO strives to ensure broad access to its services, making advanced features available to customers across various industries without complicated pricing structures. Transparent licensing allows organizations to use the software’s automation, security, and high-speed recovery capabilities, with many customers identifying administrative simplification as a key benefit. This approach supports enterprises as they scale, ensuring flexibility without compromising control or security. User feedback highlights effective, prompt support as a defining characteristic, with reduced response times and reliable assistance. Internal company protocols emphasize ongoing technical guidance, and user feedback is actively incorporated into product revisions. Dependable support and clear communication help maintain operational confidence and minimize service interruptions, aligning with global expectations for secure information management. NAKIVO incorporates improvements in a deliberate, stepwise manner, ensuring that each update focuses on reinforcing reliability and expanding support for the latest technology versions. Automated monitoring detects emerging problems and prompts action early, an approach crucial for minimizing data loss. Ongoing backup verifications ensure that organizations continue to maintain the integrity of their data. Final Words Alex Sterling, spokesperson for Global Recognition Awards, stated, “NAKIVO demonstrates how technical competency and customer-centered service can work together effectively. Its support for enterprise-level security at accessible prices continues to provide steady benefits to organizations worldwide.” His comments reflect the practical application of expertise and ongoing attention to real operational needs, which have established NAKIVO’s reputation in the technology sector. These guiding principles help explain why NAKIVO is recognized for its focus on function, access, and ongoing development. Organizations rely on NAKIVO to protect and retrieve information, ensuring that their business goals are met with a practical, user-focused approach. Continued measured development, alongside transparent communication, helps sustain trust and reliable performance for customers. NAKIVO’s progress shows that systematic planning, broad accessibility, and mutual priorities support responsible growth in digital infrastructure. About Global Recognition Awards The Global Recognition Awards is an international organization that recognizes exceptional companies and individuals who have made significant contributions to their respective industries.
- November 28, 2025Technology
Procolored Details the Impact of DTF, DTG, and UV DTF Printing Technologies on the Modern Custom Printing Industry
Procolored has issued a comprehensive overview examining the role of DTF, DTG, and UV DTF printer technologies in the global custom printing industry. The report outlines how these technologies are changing production workflows, expanding material compatibility, and enabling new product categories across the apparel and commercial printing sectors. DTF Printing Identified as a Rapidly Expanding Technology Procolored’s analysis identifies Direct to Film (DTF) printing as one of the fastest-growing methods in apparel decoration, driven by material versatility and simplified workflows. The technology supports cotton, polyester, blends, nylon, denim, leather, and additional fabrics, reducing the need for pretreatment and lowering operational costs. The company notes that DTF prints maintain durability and meet standard wash requirements, supporting print-on-demand environments and bulk production. DTG Printing Maintains Its Role in Premium Apparel Production Direct to Garment (DTG) printing continues to serve premium cotton-based garment markets. Procolored reports that DTG printing remains preferred for applications requiring ink absorption, soft-hand finishes, and detailed colour output. The method uses water-based pigment inks aligned with sustainability standards and is suited to low-volume and boutique apparel production. UV DTF Printing Identified as a High-Margin Diversification Category Procolored’s findings show that UV DTF printing has rapidly become a high-margin expansion option for print shops seeking to enter rigid-surface customisation markets. UV DTF output adheres to glass, acrylic, metal, ceramic, wood, plastic, and other materials. The process requires no pretreatment and supports products including phone cases, décor items, packaging labels, branding elements, and personalised gifts. Technology Development Based on Commercial Workflow Requirements According to Procolored, all printer lines are engineered to accommodate commercial production conditions, including long-duration operation, ink circulation systems intended to minimise clogging, and stable colour management workflows. Consumables and technical support are structured to align with the requirements of active production environments. Conclusion Procolored states that the combined capabilities of DTF, DTG, and UV DTF printing technologies define the next stage of modern custom manufacturing. The report notes that these technologies expand material compatibility, enhance production flexibility, and unlock opportunities in both apparel and rigid-surface product markets. About Procolored Procolored is a manufacturer of digital printing equipment specialising in DTF, DTG, and UV DTF printing technologies. The company develops printing systems, ink solutions, and workflow tools designed for commercial print environments and custom manufacturing businesses.
- November 27, 2025Technology
Naga Surya Teja Thallam Earns 2025 Global Recognition Award for Advancing Reliable Cloud Infrastructure and Applied Research Excellence
Naga Surya Teja Thallam has received a 2025 Global Recognition Award for his contributions to cloud infrastructure engineering, applied research, and technical leadership. The distinction highlights his ability to deliver solutions that reshape how large enterprises manage and optimize their platforms, while also showing how his work links complex engineering practices with measurable organizational value. The recognition reflects a sustained record of disciplined ownership and careful execution, which demonstrates how deep technical understanding can support reliability and efficiency across critical environments. Photo Courtesy of Naga Surya Teja Thallam This recognition places Thallam among a select group of specialists who contribute to the development of digital and artificial intelligence systems, as enterprises increasingly rely on distributed computing and automation for essential services. His projects illustrate how rigorous architecture, tested operational patterns, and attention to governance can help organizations meet demanding performance requirements while addressing security and compliance expectations. Engineering Impact At an International Scale Thallam's most notable achievements stem from his leadership in designing and scaling digital infrastructure across various enterprise platforms, including Salesforce Platform, Tableau Cloud, Commerce Cloud, and Agentforce AI. He has guided the expansion of core services to more than 22 cloud regions, while maintaining defined thresholds for availability, security, and regulatory alignment so that growing usage does not erode stability. These efforts demonstrate how coordinated planning, automation, and monitoring can support millions of users with consistent performance, even as demand increases across diverse markets. His designs prioritize redundancy, clear failover strategies, and careful latency management, which together help ensure that customers experience consistent service even when individual components encounter local disruption. This approach recognises that reliability depends on both technical architecture and operational discipline; it integrates testing, observability, and incident readiness into the system design structure. Earlier in his career, Thallam architected enterprise environments at Cisco for over 2,000 customers, focusing on improving resource utilization and optimizing workload distribution. His initiatives delivered savings valued in the millions of dollars each year, as automation eliminated repetitive manual effort and enabled infrastructure consumption to more closely reflect actual demand. The combination of financial discipline and engineering precision shows how technical decisions influence not only operational continuity but also the long-term cost profile of large organizations. Research Excellence And Cross-Disciplinary Contribution Alongside his applied work, Thallam has developed a research portfolio that concentrates on secure, centralized management of multi-account environments across complex enterprises. His studies propose governance models and compliance frameworks that attempt to balance the tension between rapid adoption of new services and the need for control over data, identity, and configuration. The resulting guidance helps organizations maintain auditable systems and consistent security baselines, while they still retain the flexibility to experiment with new tools and services. Publications, features, and citations associated with this body of work indicate that peers regard his contributions as credible and valuable inputs for planning and review. His analyses connect architecture, security, automation, and the applied use of artificial intelligence in operations, which encourages teams to treat these dimensions as related parts of a single environment rather than as separate concerns. International collaboration forms a central aspect of Thallam's research activity, since he works with teams and stakeholders in different regions to test ideas against varied regulatory and commercial conditions. This process helps identify where frameworks remain robust and where local adjustments are required, so that guidance does not assume uniform legal or cultural contexts. By participating in conferences, internal forums, and community initiatives, he contributes to shared understanding about the management of large-scale digital environments. Recognition, Mentoring, And Leadership In Practice Throughout his career, Thallam has received more than 80 distinctions, which are reserved for the most impactful contributors across the organization. He also holds Trailhead All-Star Ranger status, an accomplishment earned by fewer than 1% of Salesforce professionals, reflecting his sustained engagement with training, practical challenges, and the broader learning ecosystem. His leadership responsibilities extend beyond technical architecture into team development and programme management, particularly across cross-cloud initiatives with tight timelines and varied dependencies. He has maintained sprint forecast accuracy above 90 percent while leading teams of more than 18 engineers, which suggests close attention to planning, communication, and risk management. Mentoring is a notable element of his work, since more than a dozen mentees have progressed into strong performers and emerging leaders within their respective organizations. These outcomes reflect a deliberate choice to treat leadership as a means for building durable capability in others, rather than as an extension of personal achievement alone. This emphasis on mentoring contributes to wider institutional resilience because teams that contain multiple capable leaders are better able to sustain progress during periods of change. Final Words Alex Sterling, spokesperson for Global Recognition Awards, reflected on this achievement and stated that "Naga Surya Teja Thallam's capacity to unite deep technical insight with consistent, tangible results across international frameworks defines the standards recognised by this honour." The statement highlights how his work covers rigorous engineering practices and the operational realities that organizations confront when they run critical platforms at scale. Thallam's record suggests that strength in engineering stems from the interconnected pursuit of technical rigor, practical design, and human development, rather than from isolated achievements. His recognition with a 2025 Global Recognition Award serves as an acknowledgment of the work that has already been accomplished. It also provides a reference point for the future of scalable, secure, and intelligent platform design in cloud and artificial intelligence systems. About Global Recognition Awards The Global Recognition Awards is an international organization that recognizes exceptional companies and individuals who have made significant contributions to their respective industries.
- November 27, 2025Technology
Micro-X to unveil updated Rover Mobile DR X-ray device at RSNA 2025
Micro-X Limited ( ASX:MX1 ), a global leader in miniaturized X-ray technology, will launch its newly updated Rover mobile X-ray system at the Radiological Society of North America (RSNA) Annual Meeting in Chicago this November, marking the international debut of the upgraded platform. The next-generation Rover builds on Micro-X’s proven strengths in lightweight, motor-free mobile imaging, with innovations designed to elevate clinical workflow and imaging performance. Enhancements include the latest Lumen glass-free high-resolution detector, in-bin charging for streamlined readiness, a larger high-definition touchscreen interface, improved serviceability, and more compact stowage for crowded or space-constrained clinical environments. The updated Rover Mobile DR X-ray will debut at RSNA 2025 “The updated Rover reflects our continued commitment to designing mobile imaging systems that make clinicians’ work easier and more efficient,” said Kingsley Hall, Chief Executive Officer of Micro-X. “By combining a next-generation detector, smarter charging, and an expanded user interface with the same ultra-lightweight mobility, we’re redefining what’s possible for bedside and point-of-care X-ray imaging inside hospitals and clinics worldwide.” Using Micro-X’s proprietary Nano Electronic X-ray Technology, the Rover delivers high-quality digital radiography with exceptional maneuverability, gentle navigation across hospital floors and lifts, and minimal maintenance requirements. The new in-bin charging solution removes the need for external cabling and reduces downtime, ensuring the Rover remains ready when clinicians need it most. Showcasing Micro-X Innovation at RSNA 2025 Visitors to Booth 6537 will also experience two breakthrough developments from Micro-X’s expanding medical imaging portfolio: Full-scale model of the portable Full Body CT scanner Developed in partnership with ARPA-H under the PARADIGM program, this next-generation whole-body CT concept demonstrates how miniaturized X-ray sources can unlock new deployment models for trauma, military, sports and remote medical environments. Full-scale model of the Head CT scanner for stroke The compact, point-of-care Head CT scanner aims to transform acute stroke care by enabling immediate imaging wherever the patient presents. The latest CT image sets acquired by the prototype system will be showcased at RSNA, offering the first public look at its rapidly advancing image quality. The scanner is expected to commence Australian human imaging trials imminently, pending final regulatory license to operate. Senior Micro-X executives will be available at the stand throughout RSNA for meetings, technical briefings, and investment or partnership discussions. Book a meeting Advancing a Vision: Bringing Imaging to the Patient Across its portfolio, Micro-X is pioneering a future where imaging is delivered to the patient. Through its unique ability to miniaturize X-ray hardware using proprietary carbon nanotube (CNT) technology, Micro-X is enabling new care pathways for emergency medicine, stroke, rural and remote health, defense, and sports medicine. Media enquiries: Rebecca Puddy [email protected]
- November 27, 2025Technology
Nextvisit AI Announces Launch of Groundbreaking Behavioral Health Documentation Platform
Nextvisit AI Revolutionizes Behavioral Health with AI-Driven Documentation Solution Nextvisit AI, a cutting-edge healthcare technology company, has officially launched its innovative platform designed to solve one of healthcare’s most critical issues: clinician burnout due to excessive documentation. The new AI-powered solution promises to reduce documentation time by up to 70%, helping behavioral health providers focus more on patient care and less on administrative tasks. Founded by Dr. Faisal Rafiq, a practicing psychiatrist, and Ryan Yannelli, a seasoned technologist, Nextvisit AI addresses a key pain point in the healthcare system, long hours spent on creating and managing clinical notes. "We built Nextvisit to address the daily struggle faced by clinicians who are often forced to choose between comprehensive documentation and spending quality time with their patients," said Ryan Yannelli, CTO and Co-Founder. “Our platform leverages AI to capture accurate, real-time clinical notes, allowing providers to spend more time on the critical aspects of care.” The platform, which has already processed thousands of clinical notes, integrates advanced AI agents that work together to reference prior patient records, track clinical changes, and create patient timelines. This system ensures that behavioral health providers have a comprehensive and complete view of a patient’s progress, making it easier to track milestones and trends. Nextvisit AI has already been adopted by over 300 behavioral health practices, boasting an impressive 99 NPS score and a low churn rate of just 1.6%. The platform’s success is driven by its accuracy, which currently stands at 98.6%, making it one of the most reliable AI-powered tools in the healthcare space. Tackling Clinician Burnout with Innovative AI Solutions Clinician burnout, particularly in behavioral health, has become a growing concern in recent years, with healthcare providers spending hours on documentation instead of patient care. Nextvisit AI is taking a step toward addressing this issue by automating the tedious task of clinical note-taking while ensuring that the quality of documentation meets the high standards required for patient care and audits. “Our platform automatically captures patient notes, tracks clinical milestones, and surfaces important patterns that might otherwise be missed," said Dr. Faisal Rafiq, CEO and Co-Founder. "This provides providers with a more complete clinical picture, ultimately improving decision-making and outcomes.” The Nextvisit AI platform offers features tailored to behavioral health, including custom tagging for treatment types like Spravato, TMS, and Lithium monitoring. These tailored functionalities enable the platform to meet the unique needs of mental health practices, offering greater precision than generalized transcription tools. With features built specifically for behavioral health, Nextvisit AI saves clinicians valuable time while improving the accuracy and quality of their documentation. A Human Approach to Healthcare Technology While Nextvisit AI is fundamentally changing how behavioral health providers handle documentation, the company remains deeply committed to the human aspect of healthcare. In a world increasingly driven by automation, Nextvisit AI is taking a stand by preserving empathy and personal connection in healthcare. "We believe in automating the tedious and preserving the human touch," said Yannelli. "Empathy cannot be automated. In a world flooded with AI-generated content, we are choosing to show up personally and authentically to express gratitude for the work our clinicians do every day.” As part of their commitment to healthcare providers, Yannelli and Dr. Rafiq recently delivered 1,200 donuts to behavioral health practices across Long Island, not to pitch their product, but simply to say thank you. “Clinicians do some of the hardest work in healthcare, and we wanted to take a moment to recognize that,” said Dr. Rafiq. “In a world where automation is often seen as the answer to everything, we believe there are moments when the human element is irreplaceable.” Recent Award Recognition In recognition of its cutting-edge approach to transforming behavioral health documentation, Nextvisit AI was recently awarded the prestigious Best AI Medical Scribe for Behavioral Health in New York of 2025 . This award acknowledges the company's role in addressing clinician burnout and improving the efficiency of patient care through intelligent AI integration. With this recognition, Nextvisit AI solidifies its position as a leader in the healthcare technology space, setting new standards for AI-powered solutions in behavioral health. The Future of Behavioral Health Documentation Nextvisit AI’s innovative approach goes beyond reducing time spent on documentation. It allows clinicians to make better, data-driven decisions by providing them with comprehensive patient timelines, tracking milestones, and identifying patterns that might otherwise go unnoticed. “The more data clinicians have, the better decisions they can make. Our platform integrates historical patient data, treatment progress, and patient quotes to provide a more holistic view of care,” said Yannelli. This seamless integration of AI and clinical workflows ensures that behavioral health providers can focus more on patient interaction and less on the administrative burdens that often lead to burnout. As the platform continues to evolve, Nextvisit AI plans to introduce even more advanced features to further support healthcare providers in delivering the best possible care to their patients. With the success of its current platform, Nextvisit AI is poised to continue shaping the future of behavioral health documentation. About Nextvisit AI Nextvisit AI is a behavioral health technology company founded by Dr. Faisal Rafiq, a practicing psychiatrist, and Ryan Yannelli, a technologist with over 15 years of experience in health tech and data engineering. The company’s mission is to reduce clinician burnout by automating clinical documentation, enabling providers to spend more time with their patients. Nextvisit AI is currently part of the LAUNCH Accelerator program and serves over 300 behavioral health practices. Media Contact Ryan Yannelli Nextvisit AI CTO & Co-Founder Email: [email protected] Website: www.nextvisit.ai LinkedIn: Nextvisit AI LinkedIn LinkedIn: Ryan Yannelli LinkedIn LinkedIn: Dr. Faisal Rafiq LinkedIn Personal Website: Ryan Yannelli Personal Website: Dr. Faisal Rafiq
- November 27, 2025Technology
Minkang Zhang Enhances Microscopic Image Analysis Through Deep Learning and Intelligent AFM Processing
Atomic force microscopy faces enduring challenges in imaging speed, accuracy, and automated analysis as microstructure characterization becomes increasingly critical across materials science and biomedical research. Traditional scanning methods struggle with environmental interference, causing height deviation and structure distortion, while manual analysis workflows limit throughput and introduce measurement variability. Published research in Procedia Computer Science introduces comprehensive intelligent processing systems integrating deep learning architectures with optimized scanning strategies to transform AFM data acquisition and analysis capabilities. The analytical foundation addresses fundamental scanning limitations through trajectory optimization that enhances imaging speed while reducing deformation. Research details smooth sinusoidal curve implementation, replacing standard triangular wave trajectories to eliminate velocity discontinuities that trigger piezoelectric scanner resonance. Fourier transform analysis validates effectiveness, demonstrating optimized trajectories reduce 70Hz and 90Hz component amplitudes from 0.1655µm and 0.1001µm to 0.0032µm and 0.0014µm, respectively, at 10Hz scanning frequency, significantly suppressing high-frequency resonance and expanding scanning bandwidth for improved stability. Complementing trajectory optimization, robust correction mechanisms address image distortion from vertical drift and false slope through improved line-fitting methodologies. The framework implements two-stage processing, combining error signal analysis for data screening with sparse sampling consistency algorithms for accurate fitting. By analyzing laser error signal correlation with topography data and applying SPASAC methods to eliminate outlier interference, the system effectively compensates image distortion and restores true surface morphology, reducing tilt artifacts from 6° to near-zero while maintaining measurement reliability across complex sample geometries. Target region extraction leverages deep learning models integrating multi-level information through improved U-shaped network architectures. Research incorporates cross-scale information interaction strategies, enhancing feature fusion between network layers, combined with channel and spatial attention mechanisms, strengthening important information extraction. Global information guidance through dilated spatial pyramid pooling ensures high-level semantic preservation during upsampling. Experimental validation on constructed AFM datasets demonstrates superior performance, achieving 0.976 Dice coefficient, 0.954 IoU, and 0.028 MAE compared to traditional Otsu algorithms and standard deep learning approaches, processing images at approximately 20 frames per second. Practical implementation validates methodologies through morphological analysis applications spanning polymer samples, bacterial specimens, and E. coli cell imaging. Automated measurement experiments extract comprehensive morphological features, including actual size, boundary length, footprint, shape proportion, and structure compactness, demonstrating superior accuracy compared to manual annotation benchmarks while significantly reducing analysis time and improving consistency across diverse sample types. This research originates from Minkang Zhang, holding a Master of Science in Computer Science from the University of Southern California and a Bachelor of Science in Electrical and Computer Engineering, Cum Laude, from The Ohio State University. Professional specialization encompasses medical device software development with sustained contributions to the IH-500 immunohematology testing system, machine learning implementation utilizing CNTK and OpenCV for automated recognition, and full-stack engineering leveraging DevOps practices. Technical proficiency spans Python, Java, C#, and deep learning frameworks, with project achievements including 95% accuracy neural network development and advanced AI agent implementation. These contributions advance microscopic image analysis through rigorous integration of scanning optimization, distortion correction, and deep learning segmentation. By synthesizing trajectory planning with intelligent algorithms and attention mechanisms, this work establishes practical frameworks for automated high-precision AFM analysis, providing implementation guidance for materials science and biomedical research applications requiring accurate micro-scale morphological characterization in complex imaging environments.
- November 27, 2025Technology
Yixian Jiang Integrates Bayesian Networks and Metadata Standards to Advance Intelligent Digital Object Systems
Digital object systems face persistent challenges in standardization, data generation, and performance evaluation, as the evolution of Internet architecture demands efficient information management frameworks. Traditional approaches struggle with insufficient available objects, a lack of unified metadata standards, small sample datasets, and complex event relationship modeling. Recent research published in Procedia Computer Science introduces comprehensive frameworks that integrate international metadata standards with machine learning algorithms to fundamentally transform digital object generation through Bayesian network optimization and data diffusion strategies, validated on multi-category event datasets. The analytical foundation addresses fundamental limitations through a unified digital object generation framework combining structured and unstructured metadata extraction. By analyzing event characteristics, temporal relationships, and causal dependencies through hierarchical classification methods, the framework enables accurate information extraction from text documents. The system implements rule-driven extraction strategies for simple attributes and refined algorithms for complex elements, including keywords and themes, providing a standardized seven-element metadata structure encompassing title, author, keywords, subject, description, publisher, date, and language throughout digital object lifecycle management. The optimization architecture leverages the K2 algorithm-based Bayesian networks, combining expert knowledge with data-driven structure learning to achieve probabilistic event modeling. By addressing small sample limitations and prediction accuracy requirements inherent in traditional approaches, the system implements improved conditional probability distributions through expert experience integration. Optimization through a two-stage training methodology incorporating causal relationship refinement prevents model errors while maintaining forecasting reliability across diverse scenarios. Experimental validation demonstrates 84% prediction accuracy improvement from a 55.21% baseline, with the network structure achieving high consistency and coverage rates across training-test partitions, validated through 100-iteration robustness testing on a 550-sample event window dataset. Practical implementations span both data generation efficiency and computational performance. The intelligent digital object system enables automated generation, achieving 0.0013 seconds per object through optimized metadata extraction and batch packaging mechanisms. Data diffusion strategy combining LDA topic modeling with Monte Carlo sampling generates standards-compliant synthetic datasets addressing insufficient test data challenges. Contributing to this research is Yixian Jiang, who holds a Master’s degree in Information Technology from Carnegie Mellon University’s Information Networking Institute and a Bachelor’s degree in Software Engineering from South China Agricultural University. Jiang’s professional experience spans Apple, Meta, and NVIDIA, where Jiang led large-scale machine learning infrastructure projects and intelligent system optimizations. Jiang’s technical expertise bridges academic research and enterprise-scale engineering, exemplifying how theoretical advancements in Bayesian modeling can inform practical automation systems. This body of work represents a major step forward in bridging theoretical optimization with real-world intelligent system implementation. By integrating metadata standardization with Bayesian network algorithms for digital object systems and by advancing ML automation platforms that manage hundreds of enterprise models, Jiang’s research establishes new benchmarks for data management efficiency. These frameworks demonstrate far-reaching implications for intelligent information systems, scalable automation, and the optimization of machine learning infrastructures in increasingly complex distributed computing environments.
- November 27, 2025Technology
Lingyun Lai Enhances Data Security Evaluation with Deep Learning and Hierarchical Analytical Frameworks
The rapid expansion of digital infrastructure has heightened data security risks across sectors. Traditional assessment methods, often reliant on fragmented evaluations and reactive maintenance, struggle to meet the complexity of modern threat environments. Recent research published in Procedia Computer Science introduces an integrated framework that combines deep learning technologies with the Analytic Hierarchy Process to support automated risk identification and multidimensional security evaluation. The model is built around two core components that work together: deep learning is used to automatically extract potential security risks from large volumes of operational data, while the Analytic Hierarchy Process provides structured, expert-weighted evaluation across multiple dimensions. The assessment framework incorporates eight key indicators, including data classification and identification, user authentication and authorization, encryption, backup and recovery, log monitoring, access control, network security management, and lifecycle governance. Consistency testing of the AHP judgment matrix confirms the reliability of the weighting structure, and the fuzzy comprehensive evaluation method is applied to address uncertainty within the scoring process and convert qualitative assessments into quantitative results. Experiments show that the proposed model performs stably in practical scenarios and improves the accuracy of risk assessment. When applied to a digital financial platform, the framework not only confirmed an overall low level of data security risk but also pinpointed specific weaknesses in encryption, authentication, and access control that conventional assessments tended to overlook. By comparing three targeted remediation strategies using the TOPSIS multi-criteria method, the study identified the option that best balances cost, implementation speed, and expected effectiveness. This process illustrates how the model can guide organizations from risk diagnosis to actionable improvement planning with greater clarity and precision. The study is authored by Lingyun Lai, who holds a Master’s degree in Enterprise Risk Management from Columbia University and a Bachelor’s degree in Finance from Wenzhou-Kean University. Her academic training and professional experience in financial analysis, vendor risk assessment, and real-time monitoring of over 20 million dollars in project exposure provide a practical foundation for her work in data-driven risk evaluation. Beyond her academic foundation, Lai has led multiple enterprise-level risk and data systems projects that demonstrate her ability to translate analytical models into measurable outcomes. Her work at BCG Glass Industry Inc. includes designing an integrated financial and risk database covering more than 30 active projects, developing early-warning mechanisms that predict delays and financial anomalies, and building real-time data-quality tools that reduce reporting errors by over 40 percent. She has also authored peer-reviewed research in financial modeling, AI valuation, and data-driven credit risk assessment, with a growing citation record reflecting her interdisciplinary contributions. These initiatives highlight her capacity to merge quantitative risk theory with practical system design across construction, advanced manufacturing, and financial services. Taken together, Lai’s research and practical work show how data-driven risk assessment can be applied in real organizational settings. The model demonstrated in the digital financial platform case provides a structured way to identify risks and support corrective actions, while her experience building financial risk databases, early warning tools, and real-time data quality systems reflects the broader impact of these methods in enterprise environments.
- November 27, 2025Technology
Botpool Partners with Payoneer to Revolutionize Global Payouts for Freelancers
AI-Focused Marketplace Expands Payment Solutions for Global Freelancers Botpool, one of the fastest-growing AI-focused freelance marketplaces, has taken a significant step forward in transforming the way freelancers and businesses collaborate. The company has officially partnered with Payoneer to provide lower-fee, faster, and more secure global payouts for freelancers and buyers worldwide. With this integration, Botpool is positioning itself as a major new competitor to legacy freelance platforms like Fiverr and Upwork, offering a more efficient and cost-effective way for AI talent and businesses to engage across borders. Freelancers from regions such as India, Pakistan, Bangladesh, the Philippines, and Latin America can now withdraw earnings with significantly lower fees, better conversion rates, and fewer payout restrictions, further expanding their opportunities on a global scale. Global Freelancers Benefit from Payoneer Integration The collaboration between Botpool and Payoneer unlocks numerous advantages for freelancers, making it easier and more profitable to operate on a global stage. Freelancers can now receive payments quickly and securely with minimal transaction fees, far lower than those associated with traditional freelance platforms. With Payoneer’s trusted infrastructure, freelancers can expect: Fast and secure global payouts with better rates than other platforms Lower transaction fees that make freelancing more profitable Ability to sell services, apply for projects, and receive direct hires from businesses worldwide Increased visibility within Botpool’s rapidly growing AI ecosystem This integration allows Botpool to cater to a diverse and expansive group of freelancers in developing markets, including India, Pakistan, and Latin America. By lowering barriers and providing freelancers with seamless access to their earnings, Botpool is redefining the freelance marketplace experience. Attractive Benefits for Buyers and Businesses The benefits of the Payoneer integration extend beyond freelancers. For businesses and buyers, Payoneer enables more affordable and efficient cross-border hiring, reducing the high transaction costs that often come with legacy platforms. Companies seeking to hire AI engineers, specialists in machine learning, data annotators, designers, and developers can now do so without the heavy commission fees typically associated with Fiverr and Upwork. This makes Botpool an increasingly attractive platform for companies looking to source top-tier AI talent globally. With the Payoneer integration, businesses can now hire AI specialists at a lower cost while benefiting from a trusted, secure payout infrastructure. Botpool: The AI-Focused Freelance Marketplace of the Future Botpool’s commitment to AI freelancers is central to its identity as a modern and forward-thinking platform. While traditional freelance marketplaces have become saturated with limited functionality and high fees, Botpool is rapidly growing by focusing on the needs of AI professionals and businesses. The Payoneer partnership is a key part of this strategy, ensuring that both freelancers and buyers can work smarter and more cost-effectively. The integration of Payoneer marks a major milestone for Botpool as it continues to attract a diverse and global user base. Botpool is quickly becoming a top choice for both AI freelancers and startups looking to access the best talent and services on a global scale. What the Future Holds for Botpool As one of the fastest-growing AI freelance platforms, Botpool is committed to continuous innovation. The Payoneer partnership is just one of the many ways in which Botpool is reshaping the freelance landscape. By offering lower fees, faster payouts, and greater flexibility for freelancers and businesses, Botpool is poised to disrupt the freelance marketplace industry and become the go-to platform for AI talent. Botpool is building the future of work, where AI freelancers and companies can collaborate seamlessly across borders with ease and efficiency. The integration with Payoneer is a pivotal move in positioning Botpool as a leader in the rapidly evolving AI-driven freelance economy. About Botpool Botpool is a rapidly growing freelance marketplace dedicated to AI talent. The platform connects companies with highly skilled professionals in fields such as machine learning, data science, and AI development. Botpool’s unique focus on AI allows it to cater to a niche yet rapidly expanding market of freelancers and businesses seeking to work smarter and more efficiently. With a user-friendly interface, transparent pricing, and lower fees, Botpool is positioning itself as the AI-first alternative to traditional freelance platforms. Media Contact Manuel Garcia Botpool Email: [email protected] Website: Botpool
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