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November 27, 2025

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, 2025

Technology

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, 2025

Technology

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, 2025

Technology

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, 2025

Technology

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, 2025

Technology

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, 2025

Technology

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

November 26, 2025

Technology

ResortCleaning.com Identifies 2025 Industry Shifts in Hospitality Housekeeping

ResortCleaning.com, the leading property-care management platform for vacation rentals and hospitality operators, announced new industry insights showing that technology adoption, labor dynamics, and sustainability expectations are rapidly reshaping housekeeping operations across hotels, resorts, and short-term rentals. Industry data shows that cleaning services now represent a global market exceeding $330 billion, growing at 5 to 6 percent annually, with U.S. demand projected to reach $74 billion by the end of 2025. Digital transformation is accelerating across the sector, with janitorial software revenue estimated at $1.2 billion and expected to more than double to $2.5 billion by 2033. The broader cleaning software category is forecasted to climb from $2.8 billion in 2024 to $7.2 billion by 2034, driven by heightened guest expectations and the rise of mobile-first management. Key Industry Trends Hospitality and rental growth: Vacation rentals are on track to represent over 20 percent of global accommodation revenue by the end of 2025. In the United States alone, vacation rental revenue is projected at $20 to 21 billion, with travelers aged 25 to 44 making up more than half of all bookings, driving higher cleaning frequency and faster turnarounds. Technology adoption: More than 96 percent of short-term rental hosts say technology is now critical to their operations. Over 90 percent use property management software, and 70 percent rely on dynamic pricing tools. ResortCleaning’s integrations with leading PMS platforms and channel managers allow operators to centralize scheduling, housekeeping, billing, and quality control. Labor and sustainability pressures: Labor shortages affect 78 percent of cleaning businesses, contributing to wage increases of 15 to 20 percent. At the same time, consumers are demanding greener operations: 73 percent prefer eco-friendly cleaning products, and 68 percent are willing to pay more for sustainable services. ResortCleaning supports these expectations with paperless workflows, supply tracking, and mobile automation. “Hotels and vacation rentals are operating in a high-demand environment where guests expect spotless accommodations, rapid turnovers, and responsible sustainability practices,” said Danny Bradford, CEO of ResortCleaning. “Technology is no longer optional; it is the engine behind consistency, efficiency, and guest satisfaction. We are proud to help hospitality operators deliver on those expectations every day.” Pricing benchmarks: Short-term vacation rental cleaning fees currently range from $40 for budget units to $400 on average for luxury properties, with the average Airbnb fee around $161. These trends are helping operators recalibrate pricing as labor costs rise and guest expectations increase. About ResortCleaning.com ResortCleaning.com is a software company offering the industry’s most complete housekeeping management platform for vacation rentals, hotels, resorts, and timeshares. The platform includes dynamic scheduling, staff management, mobile task tracking, real-time inventory, billing tools, and seamless integrations with leading property management systems. To learn more or request a demo, visit www.resortcleaning.com .

November 26, 2025

Technology

LEDLightExpert.com Announces Updated Guidance on How LED Lighting Supports Home and Garden Environments

LEDLightExpert.com has published new insights on the role of modern LED technology in shaping interior and exterior residential design. The guidance outlines how intentional LED lighting strategies can elevate the sense of comfort in a home through tailored illumination, improved visibility, and enhanced control options for both indoor and outdoor environments. LED lighting continues to expand as homeowners shift toward sustainable, energy-efficient solutions. According to current design research, homeowners are increasingly viewing outdoor lighting as an extension of interior design , creating a unified approach to indoor–outdoor living. This trend reflects a growing emphasis on flexible lighting that supports daily routines, leisure spaces, and architectural aesthetics. Functional and Aesthetic Benefits of LED Lighting LED systems now offer precise control over brightness, direction, color temperature, and ambiance, enabling homeowners to adjust lighting to specific needs throughout the day. Warm tones around 2700K create inviting living rooms and bedrooms, while cooler tones of 4000K support workspaces such as kitchens and home offices. Strip lights, ceiling-integrated fixtures, recessed panels, and sculptural pendants allow lighting to operate as both a functional tool and a design element. These innovations support layered lighting approaches used in modern interiors, including ambient, task, and accent illumination. Outdoor LED Applications Outdoor LED lighting has become a key component in exterior residential design. Landscape fixtures can highlight architectural features, walkways, decks, and garden areas, supporting both visual appeal and security needs. As shown in recent home improvement trends, many households are extending livable space outdoors through structural additions, patios, and gardens, supported by flexible lighting systems that blend with these environments. Low-voltage LEDs allow homeowners to illuminate outdoor areas while maintaining energy efficiency and minimal maintenance demands. With programmable controls, motion-based systems, and dimming technology, exterior lighting can be customized to match lifestyle patterns and seasonal use. Energy Efficiency and Sustainability LED lighting systems operate with substantially lower energy consumption, with studies showing reductions of up to 80 percent compared to incandescent bulbs. LEDs convert more electrical power into visible light while minimizing heat output, reducing demands on air conditioning systems, and lowering monthly utility expenses. Their extended operational lifespan also decreases replacement frequency, reducing both household waste and long-term material consumption. These characteristics position LED lighting as a practical option for eco-conscious homeowners seeking to optimize cost efficiency and reduce environmental impact. Additional research on LED energy efficiency is available at Roger’s Electric. Lighting Technology Advancements Smart LED platforms now integrate digital controls, color-adjustable output, remote management, and voice-activated operation. These systems allow users to tailor their environment instantly—whether creating a calm, warm ambiance for evening relaxation or bright, daylight-matched tones for daytime productivity. Hybrid lighting systems, color-tunable LEDs, and adaptive brightness controls continue to expand the possibilities of lighting design inside and outside the home. About LEDLightExpert.com LEDLightExpert.com provides high-performance residential and commercial LED lighting solutions. The company offers fixtures, bulbs, and specialty products designed to support modern home design, exterior lighting projects, and sustainable energy use.

November 25, 2025

Technology

VMeDx Enhances Efficiency in Healthcare Practices with Virtual Medical Receptionist Services

Balancing patient care with administrative responsibilities continues to be a significant challenge for healthcare professionals. VMeDx addresses this growing need by providing virtual medical receptionist services tailored for medical practices seeking greater efficiency, accuracy, and professionalism without the cost and complexity of full-time in-office staff. Through this service, VMeDx empowers healthcare providers to manage scheduling, patient communications, and administrative workflows seamlessly. Each virtual assistant (VA) undergoes a comprehensive evaluation process—scientifically validated by the company’s in-house psychologist—to ensure skill alignment and reliability. This approach allows clients to select their ideal VA based on detailed profiles and competencies, ensuring a personalized match that enhances both operational performance and patient satisfaction. “Healthcare professionals need dependable administrative support that adapts to their practice’s pace and patient needs,” said a VMeDx spokesperson. “Our goal is to ensure that practitioners can focus on delivering quality care while our team efficiently manages communication, scheduling, and follow-up tasks in the background.” In addition to improving day-to-day efficiency, the company’s virtual receptionist for medical office offering helps practices minimize overhead costs and reduce workplace stress. VMeDx’s approach blends technological convenience with human understanding, ensuring patients receive attentive and professional communication at every stage of their experience. The service model also provides scalability, allowing clinics to expand or streamline their administrative operations as needed. From appointment coordination to data entry and patient inquiry handling, VMeDx’s reception solutions are designed to complement the unique requirements of different healthcare environments. “Our system is built around precision and empathy,” added the spokesperson. “Every assistant we provide is not just qualified, but also psychologically assessed for professionalism, adaptability, and patient sensitivity. This ensures that each client receives support that feels like an extension of their own practice.” By combining data-driven vetting with personalized service, VMeDx delivers reception services for medical practice environments that demand reliability and trust. The company’s commitment to aligning the right people with the right roles ensures medical teams can maintain a smooth workflow, improve patient engagement, and optimize practice operations—all while minimizing administrative burdens. With its scientifically backed matching process and focus on practical efficiency, VMeDx continues to redefine how healthcare offices approach administrative staffing—offering a modern, flexible, and human-centered solution to one of the industry’s most pressing operational challenges.

November 25, 2025

Technology

VMeDx Expands AI-Driven Platform for Smarter Virtual Medical Assistant Management

VMeDx has developed an advanced platform designed to help organizations and healthcare professionals streamline their operations through its AI-enhanced virtual medical assistant technology. The platform enables users to choose the ideal virtual assistant for their specific needs by reviewing verified profiles, detailed skill sets, and scientifically validated behavioral assessments. Each candidate in the VMeDx system undergoes a comprehensive evaluation process, led by the company’s in-house psychologist. This scientific vetting process, which includes assessment of emotional intelligence and communication style, is supported by data-driven insights to ensure high professional reliability. The inclusion of virtual administrative assistant roles within this process allows clients to match with experts who align seamlessly with their workflows, enhancing both efficiency and accuracy. “Our clients expect precision and reliability,” said the spokesperson. “By leveraging data science and psychology, we’ve developed a system that ensures the right people are in the right roles — making operations more efficient and cohesive.” VMeDx’s platform extends its capabilities to serve healthcare organizations by providing access to virtual administrative assistant professionals who manage essential tasks like patient scheduling, data entry, and correspondence tracking. These assistants support medical staff by improving task flow and ensuring patient care remains the top priority. “Our platform empowers clients to retain full control — from selection to performance monitoring,” the spokesperson added. “The system is built to promote accountability, adaptability, and consistent quality in virtual team management.” In addition to administrative support, VMeDx offers specialized medical billing virtual assistant services, focusing on claims submission, insurance processing, and compliance management. This approach helps healthcare providers reduce billing errors and enhance financial accuracy without expanding their in-house teams. With real-time performance dashboards and intuitive management tools, VMeDx simplifies staff supervision and workflow tracking. Businesses can monitor productivity, review analytics, and maintain performance standards across diverse teams, whether local or remote. VMeDx continues to advance its mission to combine technology and human understanding, creating a future where virtual team management is transparent, intelligent, and efficient for all users.

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VMeDx Expands AI-Driven Platform for Smarter Virtual Medical Assistant Management

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