Technology News
Artera Releases Industry Update on the Limits of One-Way Communication in Modern Healthcare
Artera announced the release of an industry update examining how traditional one-way communication models are increasingly misaligned with the realities of modern healthcare care journeys. The announcement reflects ongoing analysis of how outbound-only messaging approaches, long used for reminders and notifications, are struggling to support the complexity of patient interactions that now span multiple departments, systems, and stages of care. The update outlines how healthcare communication has historically been structured around isolated touchpoints rather than continuous interaction. Appointment reminders, intake instructions, billing notices, and follow-up messages are often delivered as separate events, frequently generated by different systems with limited coordination. As care delivery becomes more interconnected, these fragmented communication patterns are creating inconsistencies in timing, context, and sender recognition that complicate patient navigation of care processes. Artera’s research into how to increase patient engagement highlights that patients are not disengaging due to a lack of information, but due to communication that feels disjointed and difficult to interpret. When messages arrive without clear relevance to the broader care journey, patients are less likely to respond, even when the information is operationally important. The update frames this issue as a design limitation inherent in one-way communication models rather than an issue of message volume or patient motivation. The announcement further details how modern care journeys extend well beyond individual encounters. Patients move through scheduling, registration, clinical visits, follow-up coordination, billing, and ongoing management, often across different service lines and facilities. When communication systems operate independently, patients may receive duplicate or conflicting messages, experience poorly timed outreach, or encounter communication channels that do not support response or clarification. These conditions introduce friction into care delivery and reduce confidence in the communication process. Within this context, the update discusses how healthcare organizations are reassessing communication as an operational system rather than a set of disconnected tools. AI in Healthcare Communications is being evaluated as part of this shift, not as a replacement for human interaction, but as a means of supporting consistent, two-way communication across high-volume workflows. The analysis focuses on how structured, conversational models can align messaging with patient pathways while maintaining operational control and accuracy. The announcement also addresses the operational implications of continuing to rely on one-way communication models in complex care environments. Fragmented outreach increases administrative workload, limits visibility into patient interactions, and makes it difficult to identify breakdowns in communication flow. As healthcare systems manage growing demand and constrained resources, communication design is increasingly viewed as a foundational element of access and coordination. Artera’s update positions the evolution away from one-way communication as part of a broader reassessment of engagement infrastructure. Rather than treating engagement as a series of notifications, healthcare organizations are examining approaches that support continuity, recognition, and interaction across the full care journey. This shift reflects an effort to align communication practices with how care is delivered and experienced today. About Artera Artera is a healthcare communications company focused on enabling structured, centralized communication across the care journey. The company develops technology designed to support coordinated, conversational messaging between healthcare organizations and patients, with an emphasis on operational consistency, workflow alignment, and scalable engagement.
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- January 1, 2026Technology
Exploring Intelligent Manufacturing Approaches Through Junchun Ding’s Research in Automotive Production
As automotive manufacturing evolves toward intelligent production, manufacturers face pressures to improve efficiency while maintaining quality across complex production lines. Traditional workflows struggle with integration challenges, equipment interoperability, and real-time optimization. The research addresses these challenges through systematic automation technology analysis, establishing frameworks that balance production flexibility with quality consistency in high-volume manufacturing environments. The study introduces intelligent production frameworks leveraging industrial robotics, Internet of Things monitoring, and big data analytics for automated assembly optimization. Robot automation systems achieve high-precision welding and component installation through programmed task execution, reducing human variability. IoT sensor networks enable continuous data collection across production stages, transmitting temperature, humidity, and equipment status to centralized platforms. Big data analysis facilitates predictive maintenance and production planning optimization, while multi-level security protocols protect manufacturing data through encryption, access control, and network intrusion detection systems. Implementation analysis incorporates systematic evaluation of automation benefits across body welding, component assembly, painting, and material handling processes. Framework validation identified integration challenges, including technical standardization requirements, data security vulnerabilities, and skilled personnel shortages. Proposed solutions establish unified intelligent manufacturing platforms, multi-level security protection systems, and cross-disciplinary talent cultivation strategies, confirming systematic approaches enabling efficient automation deployment while addressing compatibility and security concerns inherent in complex manufacturing environments. Contributing to this research is Junchun Ding, holding a Master of Science degree in Project Management from Harrisburg University and a Master of Science in Mechanical Engineering from Syracuse University. Technical expertise spans autonomous driving sensor systems, manufacturing process engineering, and program management methodologies. Professional certifications include Project Management Professional (PMP), Certified ScrumMaster (CSM), and Certified SOLIDWORKS Professional (CSWP), demonstrating integrated technical and management capabilities. Previous experience at TuSimple developing Level 4 autonomous driving sensor systems provided foundational expertise in LiDAR, camera, and radar integration for perception reliability. Professional work at Tesla since December 2023 applies intelligent manufacturing principles to advanced vehicle production. Technical program management for next-generation electric and autonomous vehicle program closures coordinates design, manufacturing, and automation teams, implementing DFMEA and PFMEA methodologies for process optimization. Engineering contributions achieve cost reduction through manufacturing Bill of Materials changes while ensuring scalability for next-generation electric and autonomous vehicles. Complementary research on nanomaterial-enhanced lubrication published in Advances in Nano Research investigates SiC@Ag nanoparticles improving wear resistance for automotive gears, while patent work on LiDAR anomaly detection addresses perception reliability critical for autonomous vehicle safety. The study illustrates how intelligent manufacturing research can inform practical vehicle production strategies, offering insights into automation deployment, system integration, and scalable process design. By aligning research perspectives with real-world engineering practice, the work reflects the growing role of intelligent production technologies in supporting advanced automotive manufacturing and continuous process improvement.
- December 31, 2025Technology
Simplenight Introduces Trust-Driven Multi-Agent AI to Support Complex Human Decisions Across Digital Ecosystems
Simplenight has announced a major update to its AI-powered digital platform. The company is calling it trust-driven multi-agent intelligence, and it's built for the kinds of decisions that keep people up at night: healthcare choices, government services, travel disruptions, financial planning. Not the tasks a basic chatbot can handle. Here's what makes it different. Most AI tools today run on a single model. Ask a question, get an answer. But real life doesn't work that way. Someone booking a last-minute flight after a family emergency isn't just looking for the cheapest fare. They're stressed, probably exhausted, and dealing with a dozen other things at once. Simplenight's AI orchestration platform puts multiple specialized agents to work simultaneously. One handles logistics. Another reads emotional cues. A third checks compliance requirements. They coordinate in real time, which means the response actually fits the situation. "AI should not treat people like tickets in a queue," said Mark Halberstein , CEO of Simplenight. "Our platform is designed to understand life as it actually happens—often across multiple services, under stress, and with real emotional weight. Trust-driven orchestration allows AI to respond in ways that feel intelligent, supportive, and human." The trust-first AI architecture runs deeper than marketing language. Governance is baked into every layer of the system. The AI knows when it can act on its own and when it needs to pull in a human. That matters enormously in regulated spaces like healthcare and financial services, where a wrong answer isn't just inconvenient—it can cause real harm. The platform uses AI decision confidence modeling to gauge certainty levels before responding. When confidence drops or emotional signals spike, it slows down. Asks clarifying questions. Escalates to a person if needed. Gary Fowler, CEO of GSD Venture Studios and an advisor to Simplenight, put it bluntly: "Trust will define the next generation of AI adoption. Simplenight is building systems that recognize the limits of automation and respect human judgment. That balance is essential for AI to scale responsibly across society." Government agencies have started deploying this technology for citizen services: DMV interactions or benefits applications. These are often high-stress moments for people, and the governance-first AI approach ensures dignity stays intact even when bureaucracy is involved. Banks are plugging it into their apps for lifestyle planning features. Travel companies use it for end-to-end trip management, from booking to real-time problem-solving when flights get cancelled or hotels oversell rooms. Car manufacturers are embedding Simplenight's context-aware AI directly into vehicles. The system adapts to what's happening with the driver—not just navigation, but actual contextual assistance that responds to real-time conditions. If the user is running late for a meeting, the AI factors that in, for example. And in healthcare, the empathetic AI systems can pick up on stress and urgency in ways that traditional automation completely misses. A person calling about a difficult diagnosis gets treated differently than someone scheduling a routine checkup. The AI escalation to humans kicks in when conversations turn sensitive. It's ethical AI by design, not ethics bolted on as a PR exercise. Privacy isn't an afterthought here. Simplenight built data governance and transparency into the foundation. Predictive features help anticipate what users need, but within strict ethical guardrails. No overreach. The bigger picture is that this positions Simplenight as infrastructure for organizations that want AI they can actually trust. Not another generic AI platform or glorified chatbot, but multi-agent intelligence designed for moments when the stakes are high and the decisions are complicated. The kind of responsible AI systems that might finally deliver on what the industry has been promising for years. Simplenight operates an AI-powered digital platform across government, finance, travel, real estate, and automotive sectors. The company combines generative AI, omnichannel commerce tools, and a global supplier network to deliver personalized experiences at scale. Their focus remains on human-centric AI that puts people first. More information about Simplenight is available on the official website .
- December 31, 2025Technology
Dobby Ads Unveils AI-Powered Tools to Enhance Creative Decision-Making and Content Production
“As artificial intelligence continues to reshape the creative landscape, we believe that true creative success lies in how we harness these tools,” said Sudhanshu Garg, CEO of Dobby Ads. “While AI has made content production faster and more accessible, the real advantage lies in the ability to make informed decisions—deciding which ideas to refine, which concepts to elevate, and how to shape meaningful narratives.” AI-Driven Tools Enhance Content Production and Decision-Making In the AI-driven era, content creation has become faster than ever. However, Dobby Ads emphasizes that production speed alone is not a differentiator. The real value lies in the ability to interpret, refine, and curate creative concepts effectively. Dobby Ads' new AI-powered tools enable creative teams to rapidly generate ideas and refine them with precision, maintaining clarity and coherence in the final output. “AI accelerates ideation, but it also generates noise,” Garg added. “The role of human judgment is to turn that noise into coherence, providing structure and meaning to the content that resonates with audiences.” Creative Judgment Becomes the Key Differentiator Dobby Ads highlights a significant shift in the creative industry—while AI tools have made content production universally accessible, they have also placed increased importance on human judgment. The ability to curate, refine, and make meaningful decisions about what content to pursue has become the true competitive advantage for brands. “AI is not replacing creativity, it’s revealing it," said Garg. “When everyone can execute quickly, the difference comes down to the clarity of intent, the ability to shape a strong point of view, and the judgment required to create impactful work.” How Dobby Ads Applies AI to Strengthen Creativity Dobby Ads has deeply integrated AI into its workflows, observing that the most effective creatives do not simply generate more content but make better decisions. The AI tools enable broader exploration of ideas, but human judgment is essential for narrowing focus, preserving clarity, and maintaining narrative integrity. “The transformation isn’t technical—it’s cognitive,” explained Garg. “When the right people use the right tools, speed does not dilute quality. Creativity doesn’t just scale; it evolves.” A Shift Toward Interpretation-Led Creativity Looking ahead, Dobby Ads believes that success in the AI era will belong to brands that excel in both creativity and strategic decision-making. Rather than focusing on sheer volume of content, the most successful brands will prioritize thoughtful interpretation, ensuring that the content produced is not only effective but meaningful. "Creation is no longer rare; interpretation is," said Garg. "AI won’t end creative industries, but it will eliminate unintentional creation. The advantage now belongs to those who know which story is worth telling and how to tell it." About Dobby Ads Dobby Ads is an award-winning creative agency specializing in AI-powered content production, with over four years of experience delivering cutting-edge video, graphic design, and 3D content for global brands. The company is committed to leveraging AI technology while preserving the essential human touch required for producing innovative, high-quality content that drives measurable success. Media Contact Sudhanshu Garg (SG) Founder and CEO Dobby Ads Social Media: Website Instagram Facebook Twitter LinkedIn For reviews: TrustPilot Google Reviews
- December 30, 2025Technology
Open Source AI Implementation & Development Company Launches at OAI.co
OAI.co , an open-source AI implementation and development company, today announced its official launch, providing enterprises with end-to-end services for deploying, customizing, and operating open-source artificial intelligence systems, including private large language models (LLMs). The company is designed to help organizations move beyond AI experimentation and into secure, production-ready deployments they fully own and control. As artificial intelligence adoption accelerates, many enterprises are discovering that closed, API-based AI platforms introduce challenges around cost predictability, data governance, compliance, and long-term vendor dependency. OAI.co was founded to address those concerns by serving as a neutral implementation partner that helps businesses operationalize open-source AI and private LLMs across regulated and data-sensitive environments. “OAI.co exists because the conversation around AI has shifted,” said Nate Nead, CEO of OAI.co. “Enterprises no longer want black-box AI systems they rent without understanding. They want AI infrastructure they can inspect, govern, secure, and adapt to their own workflows. Open-source models and private LLMs make that possible, but only if they’re implemented correctly.” Meeting Enterprise Demand for Private LLMs A core focus of OAI.co is the design and deployment of private LLMs —AI systems that run entirely within a company’s own infrastructure, whether on-premises, in a private cloud, or in a controlled hybrid environment. Unlike public AI services that process data externally, private LLMs allow organizations to retain full ownership of their data, prompts, embeddings, and model behavior. This approach is particularly attractive to companies operating in legal, financial services, healthcare, manufacturing, and other regulated industries where data residency, confidentiality, and auditability are non-negotiable. “The enterprise private LLM is becoming the default requirement, not a luxury,” Nead added. “When companies realize their internal documents, customer records, and proprietary workflows are feeding an external system, the risk calculus changes. We help organizations build AI systems that never leave their security perimeter.” From Model Selection to Production Deployment OAI.co provides full-cycle AI implementation services, starting with architecture and model selection and extending through deployment, optimization, and long-term support. Rather than promoting a single model or vendor, the firm takes a vendor-neutral approach, selecting open-source models and tooling based on each client’s performance, compliance, and cost requirements. Services include open-source LLM evaluation and fine-tuning, retrieval-augmented generation (RAG) system design, private vector database implementation, AI workflow orchestration, and integration with existing enterprise systems. OAI.co also advises on governance frameworks, access controls, and observability, ensuring AI systems remain transparent and accountable as they scale. “Our clients aren’t looking for demos—they’re looking for systems that work on day one and still work three years from now,” said Eric Lamanna, VP of Sales at OAI.co. “The biggest shift we’re seeing is buyers treating AI like infrastructure, not SaaS. They want predictable costs, ownership, and the freedom to evolve without being locked into a single provider.” A Commercial Model Built for Long-Term Use OAI.co’s engagement model reflects that infrastructure mindset. The company works with organizations through structured assessments, implementation phases, and ongoing optimization, offering clear scopes of work and enterprise-grade service level agreements. This allows clients to deploy AI responsibly while avoiding the cost volatility often associated with per-token or per-seat pricing models. According to Lamanna, this clarity is resonating with mid-market and enterprise buyers alike. “CFOs and CTOs want to know exactly what they’re paying for and what they own at the end of the project,” he said. “With open-source and private LLMs, the economics are fundamentally different—and far more sustainable—when done right.” Aligning with Broader Industry Trends The launch of OAI.co comes amid rapid growth in the quality and maturity of open-source AI models, as well as increasing regulatory scrutiny around artificial intelligence usage. Governments, boards, and executive teams are demanding greater visibility into how AI systems make decisions and handle sensitive information. “OAI.co is built for where the market is going, not where it’s been,” Nead said. “AI will increasingly be judged by governance, transparency, and alignment with business objectives. Open-source AI and private LLMs provide the foundation for that future.” About OAI.co OAI.co is an open-source AI implementation and development company that helps enterprises deploy, customize, and operate production-grade AI systems, including private large language models. Founded by software development services firm, DEV, the company specializes in secure, vendor-neutral AI architectures designed for transparency, compliance, and long-term scalability. OAI.co works with mid-market and enterprise organizations across regulated and data-sensitive industries.
- December 30, 2025Technology
Layer Logix Positions Managed IT Services as Core Infrastructure for Distributed Workforces
Layer Logix has outlined its approach to Managed IT Services as organisations increasingly rely on cloud platforms and distributed workforces to support daily operations. The company notes that IT management is no longer a background support function, but a core operational requirement tied directly to security, continuity, and business performance. Over the past decade, business technology environments have grown more complex. Cloud computing, hybrid work models, and heightened cybersecurity risks have transformed IT from a background utility into a critical operational pillar. In response, many organisations are reassessing how their IT environments are managed, with a growing number shifting away from reactive support models toward fully managed service structures. Traditional IT Models Under Pressure Historically, many companies relied on small internal IT teams or on-demand, break-fix support arrangements. While sufficient for earlier operating environments, these approaches are increasingly strained by modern requirements, including continuous connectivity, data security, compliance obligations, and distributed workforces. Industry analysis indicates that fragmented IT oversight can result in increased downtime, inconsistent security practices, and rising operational costs, particularly for small and mid-sized organisations lacking dedicated in-house resources. Scope of Managed IT Services Expands Managed IT Services now typically encompass a broad range of operational responsibilities. Rather than focusing solely on troubleshooting, managed service providers assume ongoing responsibility for system monitoring, infrastructure management, cybersecurity controls, and end-user support. Common service components include network and system monitoring, cybersecurity management, cloud infrastructure oversight, help desk services, and IT governance implementation. The emphasis is increasingly placed on prevention, standardisation, and long-term planning rather than reactive issue resolution. Cybersecurity Driving Adoption Cybersecurity considerations are a significant factor behind the increased adoption of managed IT models. As cyber threats become more frequent and sophisticated, organisations without dedicated security teams face elevated risk exposure. Managed IT environments often integrate security as a core operational function, including endpoint protection, access controls, threat detection, and data backup oversight. This integrated approach is intended to improve response readiness while reducing vulnerabilities associated with decentralised or ad-hoc security practices. Governance and Business Continuity Beyond security, governance and accountability have emerged as key drivers. Managed IT Services frequently incorporate defined policies around data access, device management, compliance documentation, and audit readiness, helping organisations maintain consistency across growing IT estates. Proactive infrastructure management is also linked to improved business continuity. Continuous monitoring and scheduled maintenance enable potential issues to be identified before they escalate into outages, supporting operational stability as organisations scale. Shift Toward Long-Term IT Strategy Industry participants note that Managed IT Services are increasingly evaluated as long-term strategic investments rather than discretionary costs. By consolidating IT management under a structured service model, organisations aim to reduce operational uncertainty while allowing leadership teams to focus on core business objectives. Examples of this approach can be seen in service frameworks such as Managed IT Services , which describe IT management as an integrated function combining infrastructure, security, governance, and user support. Outlook As reliance on digital systems continues to deepen across industries, structured IT management is expected to become more prevalent. Analysts suggest that Managed IT Services will play an increasingly central role in helping organisations manage complexity, mitigate risk, and maintain operational resilience in an evolving technology landscape. About Layer Logix Layer Logix is a managed IT services provider supporting organisations with structured IT management across infrastructure, cybersecurity, governance, and end-user support. The company delivers fully managed IT environments designed to support cloud-based operations, distributed workforces, and compliance-driven businesses. Layer Logix works with organisations seeking long-term operational stability through proactive technology management.
- December 30, 2025Technology
OnSpace AI Unveils Unified Platform for SaaS and Agentic AI App Development across Web and Mobile
OnSpace AI, a cloud-native no-code development platform, today announced the official launch of its updated "Prompt-to-Product" engine. This strategic release expands the platform’s capabilities, establishing OnSpace as a unified app builder and website builder designed to streamline the deployment of complex software architectures. As the industry moves beyond simple text generation, the new update targets the growing demand for functional application development. Users can now build sophisticated agentic AI apps—software capable of autonomous reasoning—and full-scale SaaS (Software as a Service) platforms using simple natural language, effectively abstracting away technical friction such as API key management and server maintenance. Bridging the Gap to Production-Ready Software OnSpace's latest release addresses a critical gap in the market: the transition from AI prototypes to deployable software. The update provides the necessary infrastructure for creators to build everything from landing pages to complex data-driven systems. "We believe technology should empower creativity, not complicate it," said William Penrose, Co-founder at OnSpace AI. "You don't need to worry about buying the latest Mac to build an iPhone app, or managing complex infrastructure to launch a web service. You provide the idea, and our platform handles the entire technical supply chain, from compilation to production-ready launch." Key Technical Innovations: ● Integrated Data Management: The system includes a comprehensive dashboard for analyzing project metrics (user activity, device usage) and empowers developers to build custom user-facing dashboards within their own SaaS products. ● Commercial Infrastructure: The service seamlessly integrates essential backend utilities, including Stripe and RevenueCat for subscription management. This ensures the final output is a fully functional, deployed product rather than just a design prototype. Solving Core Development Barriers The platform update specifically addresses three persistent challenges in the software engineering lifecycle: ● Cloud-Native iOS Compilation (Windows Support): By shifting the build process to the cloud, OnSpace enables developers to deploy native iOS applications directly from Windows or Linux devices. This removes the traditional hardware barrier, allowing for full App Store submission without a Mac. ● Zero-Config AI Integration: To streamline intelligent app creation, the engine automates the backend connections required for agentic AI apps. Users can integrate advanced LLM capabilities immediately, eliminating the need to purchase or manage personal API keys. ● Full Source Code Ownership (React & TypeScript): Unlike closed no-code ecosystems that create platform lock-in, OnSpace generates clean, professional-grade code. Users retain complete control over their intellectual property, ensuring the software is scalable and transferable. The updated platform is available immediately, offering a free tier for users to experience this new standard of development. For more information, visit https://www.onspace.ai About OnSpace AI OnSpace AI is a cloud-native development platform that makes software engineering accessible to non-technical creators. By combining generative AI with managed infrastructure, it enables users to build, deploy, and own production-grade applications without coding expertise.:
- December 30, 2025Technology
Mobile Device Management Market to Reach USD 25.04 Billion by 2030 Driven by BYOD Adoption and Cloud-Based Solutions
Mobile Device Management Market Outlook The Mobile Device Management Market size reached USD 9.34 billion in 2025 and is projected to reach USD 25.04 billion in 2030, progressing at a 30.21% CAGR through the forecast period. The Mobile Device Management Market share highlights the shift from discretionary IT spending to a necessary operational tool for businesses of all sizes. Key Trends in the Mobile Device Management Market 1. BYOD Policies Encouraging Enterprise Adoption The rise of BYOD drives MDM demand, helping companies cut costs, boost productivity, and ensure secure device management for data protection and regulatory compliance 2. Transition to Cloud-Based Unified Endpoint Management Enterprises are moving from on-premise MDM solutions to cloud-based UEM platforms, which simplify device management, reduce operational costs, and allow faster security updates across distributed teams. 3. Cyber-Insurance Requirements Boosting MDM Usage Cyber-insurance providers now mandate mobile endpoint security, accelerating MDM adoption among small and mid-sized businesses to ensure compliance, protect data, and prevent financial penalties. 4. 5G and Emerging Security Protocols Expanding MDM Importance The 5G rollout improves mobile field operations with real-time support and predictive maintenance, while MDM solutions adopt advanced security protocols to address future cybersecurity challenges. Check out more details and stay updated with the latest industry trends, including the Japanese version for localized insights: https://www.mordorintelligence.com/ja/industry-reports/mobile-device-management-market?utm_source=marketersmedia Segmentation of the Mobile Device Management Market By Deployment Mode: On-premise Cloud By Device Type: Smartphones and Tablets Laptops and Desktops Rugged and Wearable Devices IoT/IIoT Endpoints By End-User Industry: IT and Telecom BFSI Healthcare and Life Sciences Retail and E-commerce Government and Public Sector Manufacturing Education Transportation and Logistics By Ownership Model: Corporate-owned Devices BYOD (Bring Your Own Device) COPE (Corporate-Owned, Personally Enabled) CYOD (Choose-Your-Own-Device) By Geography: North America: United States, Canada, Mexico South America: Brazil, Argentina, Rest of South America Europe: United Kingdom, Germany, France, Italy, Spain, Nordics, Rest of Europe Asia-Pacific: China, India, Japan, South Korea, ASEAN, Australia, New Zealand, Rest of Asia-Pacific Middle East and Africa: Middle East, Saudi Arabia, United Arab Emirates, Turkey, Rest of Middle East; Africa, South Africa, Egypt, Nigeria, Rest of Africa Explore Our Full Library of Technology, Media and Telecom Research Industry Reports - https://www.mordorintelligence.com/market-analysis/technology-media-and-telecom?utm_source=marketersmedia Key Players in the Mobile Device Management Market Cisco Systems Inc.: Provides networking and cybersecurity solutions, including MDM tools that help enterprises manage and secure mobile devices across networks. SAP SE: Offers enterprise software solutions with integrated device management capabilities for secure mobile operations and business process optimization. Kaspersky Lab Inc.: Specializes in cybersecurity software, providing mobile security and endpoint management solutions for corporate environments. IBM Corporation: Delivers comprehensive MDM and UEM solutions, focusing on security, analytics, and integration with enterprise IT systems. Broadcom Inc. (Symantec Corporation): Offers enterprise-grade MDM and endpoint security solutions, ensuring device compliance, data protection, and secure mobile operations. Explore more insights on Mobile Device Management Market competitive landscape: https://www.mordorintelligence.com/industry-reports/mobile-device-management-market/companies?utm_source=marketersmedia Conclusion The Mobile Device Management Market trends indicate rapid growth as enterprises focus on mobile security, operational efficiency, and flexible device management. The Mobile Device Management Market statistics highlight how segmentation across devices, industries, and ownership models enables businesses to select tailored solutions for their operational needs. For more insights on Mobile Device Management Market trends, please visit the Mordor Intelligence Page: https://www.mordorintelligence.com/industry-reports/mobile-device-management-market?utm_source=marketersmedia Industry Related Reports: IoT Device Management Market The IoT Device Management Market size is projected to grow from USD 8.79 billion in 2025 to USD 23.68 billion by 2030, at a CAGR of 21.92%. Growth is driven by the rising adoption of connected devices across industries and the increasing need for secure, scalable device management solutions to support IoT deployments. Get more insights: https://www.mordorintelligence.com/industry-reports/iot-device-management-market?utm_source=marketersmedia Indonesia Enterprise Mobility Management Market The Indonesia Enterprise Mobility Management Market size is expected to grow from USD 2.69 billion in 2025 to USD 3.86 billion by 2030, at a CAGR of 7.5%. The market is driven by the increasing adoption of mobile workforce solutions and the growing need for secure, centralized management of enterprise mobile devices across organizations. Get more insights: https://www.mordorintelligence.com/industry-reports/indonesia-enterprise-mobility-management-market?utm_source=marketersmedia Enterprise Mobility Management Market The Enterprise Mobility Management Market size is projected to grow from USD 33.90 billion in 2025 to USD 80.51 billion by 2030, at a CAGR of 18.88%. Market growth is fueled by the rising adoption of mobile workforce solutions and the increasing demand for secure device management and enterprise application control across organizations. Get more insights: https://www.mordorintelligence.com/industry-reports/enterprise-mobility-management-market?utm_source=marketersmedia
- December 30, 2025Technology
Miracle Group Chairman Hakan Törehan Unveils Vision for Human-Centered Payments
The Future of Payments: Hakan Törehan’s Human-Centered Blueprint A mission to simplify and secure transactions Hakan Törehan, a visionary entrepreneur born in London to a Turkish Cypriot family, has made it his life's mission to transform how businesses and consumers engage with payments. His goal is to make paying for goods and services, whether it's a simple coffee or a large business invoice, effortless, safe, and fair. This human-centered approach to payments has driven his career, from the early days of helping merchants transition from cash-heavy processes to modern, smarter systems. Over the years, Törehan has built a reputation as a quiet architect of progress in the payment industry. His work spans numerous industries, including retail, hospitality, and services, where he has helped companies modernize their payment systems, improve security, and create smoother experiences for customers. Simplifying complex payment processes for businesses Törehan's practical, people-first approach to technology ensures that innovations in payment systems remove friction, build trust, and provide businesses with more control over their operations. His focus has been on simplifying complex systems, allowing merchants to process payments faster, reconcile their books more cleanly, and ensure stronger security. His work has made it possible for businesses to enjoy clearer reporting, faster checkouts, and enhanced fraud prevention. Under Törehan’s leadership, Miracle Group has been at the forefront of this transformation. His “payments as experience” philosophy has influenced not just the business world but also the sports and media industries, where he has helped simplify access to content for fans while creating sustainable revenue models for operators. The vision for the future of payments Looking to the future, Törehan’s vision for the payment landscape is clear: real-time payments will become the default, mobile devices will act as terminals, and fraud prevention will operate seamlessly in the background. He envisions a world where cross-border commerce is simplified by multi-currency payment systems, making borders feel less relevant to everyday transactions. Real-time payments, he believes, are key to this vision. With increasing global connectivity, Törehan predicts that the shift to instant payments will be a cornerstone of the modern financial landscape. This, combined with mobile and wallet-based experiences, will redefine how businesses and consumers interact with money. “Technology only matters if it removes friction and builds trust,” Törehan states. His approach continues to focus on making payment systems more accessible, protecting consumers, and helping merchants grow. Payments and security: The importance of trust As a proponent of secure payment systems, Törehan emphasizes that the evolution of technology must prioritize security and transparency. Stronger fraud prevention measures will ensure that payment experiences remain safe for consumers and businesses alike. By integrating smarter systems behind the scenes, Törehan aims to reduce the burden of fraud on both ends of the transaction, allowing for smoother, more reliable payments. Miracle Group’s role in shaping the future of payments As the Chairman of Miracle Group, Törehan has played a pivotal role in advancing the company’s approach to payments. Miracle Group has long been a leader in the fintech industry, developing systems that enhance transaction security while maintaining ease of use. Under Törehan’s leadership, the company has been instrumental in introducing technologies that make paying for products and services a seamless part of the consumer experience. “Payments should not feel like a barrier between businesses and their customers,” Törehan explains. “By embracing real-time payments, reducing friction, and ensuring that technology works in the background, we’re making it easier for businesses to grow and for consumers to feel confident in their transactions.” Miracle Group’s continued innovation Miracle Group is set to continue its work in redefining the payment experience. As real-time payments become the norm, the company plans to expand its offerings and implement even smarter fraud prevention systems. With Törehan’s forward-thinking leadership, Miracle Group is poised to play a key role in reshaping the global payment infrastructure, ensuring that businesses and consumers alike benefit from faster, safer, and more efficient systems. About Miracle Group Miracle Group is a global leader in payment solutions, providing businesses with cutting-edge technology designed to streamline payments, enhance security, and improve customer experiences. The company works with businesses across a variety of industries, including retail, hospitality, and services, to modernize their payment systems and improve operational efficiency. Under the leadership of Hakan Törehan, Miracle Group continues to drive innovation in the payment sector, ensuring that transactions are as seamless and secure as possible. Media Contact: Hakan Törehan Chairman Miracle Group Email: [email protected] Website LinkedIn YouTube Truth Social Blog
- December 29, 2025Technology
Taxi Web Design Launches Commission Free Dispatch Software with best solution for Taxi Operators Worldwide
Taxi Web Design today announced the launch of its commission-free, all in one taxi dispatch solution built specifically for independent taxi operators and growing fleets. The platform delivers both manual and automated dispatch tools under one system, giving operators full control without revenue sharing or per trip commissions. Here’s the thing. Many taxi businesses are locked into dispatch platforms that charge commissions on every completed ride. Over time, that adds up and eats directly into profits. Taxi Web Design removes that problem completely. The new system is designed as a practical and flexible alternative to Taxicaller , offering the same core capabilities while giving operators more freedom, simpler pricing, and zero commission fees. With Taxi Web Design, operators get a complete dispatch setup that supports real world operations, whether they prefer hands on manual dispatching or fully automated job allocation. The platform is suitable for single owner operators, small fleets, and expanding taxi companies looking to modernize without overpaying. To make onboarding easy, Taxi Web Design is offering a 14 day free trial with full access to the dispatch system. No contracts. No commission. No pressure. Key highlights of the Taxi Web Design dispatch solution include: Commission free dispatch software with no per trip fees Manual and automated dispatch options in one platform Driver and passenger management tools Real time job assignment and tracking Scalable setup for growing taxi fleets Simple onboarding with a 14 day free trial “Our goal is simple,” said Mr Anil Shrestha , Owner of Taxi Web Design . “Taxi operators should keep what they earn. We built a dispatch system that supports real taxi operations without taking a cut from every ride.” Taxi Web Design continues to focus on practical software solutions that help taxi businesses stay competitive, reduce costs, and operate independently in an increasingly app-driven market. Contact Information Taxi Web Design 📧 Email: [email protected] 📞 Phone: +1 (302) 499-1612 📍 Address: 1111B South Governors Avenue, Dover, DE 19904, USA For more information or to start the 14-day free trial, taxi operators are encouraged to contact Taxi Web Design directly.
- December 29, 2025Technology
Spooled Cloud Open-Sources Reliable Webhook Queues and Background Jobs Infrastructure
Spooled Cloud has released Spooled , an open-source webhook queue and background job infrastructure designed to help engineering teams deploy and operate reliable background processing systems with less operational overhead. Background job systems often begin as simple worker processes paired with database tables. As systems scale, teams frequently encounter challenges such as failed webhook deliveries, retry storms during outages, duplicate side effects caused by repeated event submissions, and limited visibility into job execution. These issues can lead to extended debugging cycles and downstream reliability concerns. Spooled is designed to address these common operational problems by providing core reliability features as part of a single system. The platform includes automatic retries, dead-letter queues (DLQ) to preserve failed jobs for inspection and recovery, and idempotency keys to prevent duplicate processing when the same event is submitted multiple times. For scheduled workloads, Spooled supports cron-based recurring jobs with timezone awareness. It also supports job dependencies, allowing teams to define multi-step workflows where jobs execute only after prerequisite tasks have completed. Operational visibility is a central component of the system. Spooled includes a web-based dashboard and real-time streaming updates via Server-Sent Events (SSE) and WebSocket connections, enabling engineers to observe job state changes as they occur. This allows teams to quickly determine whether a job is waiting on dependencies, retrying, or has been moved to a dead-letter queue. The system exposes both REST and gRPC APIs and provides SDKs for Node.js, Python, Go, and PHP, allowing teams to integrate job submission and monitoring into existing services with minimal friction. Spooled is available as open-source software under the Apache 2.0 license. Documentation and implementation details are publicly accessible, and the project’s source code is hosted on GitHub. More information about the project is available via Spooled Cloud . The source code is available on GitHub at https://github.com/Spooled-Cloud/spooled-backend . About Spooled Cloud Spooled Cloud is the organization behind Spooled, an open-source background job and webhook processing infrastructure focused on reliability, operational visibility, and ease of deployment. The project is developed to support teams building and operating distributed systems that depend on dependable asynchronous processing.
- December 29, 2025Technology
Manufacturing.co Launches Acquisition Platform Focused on U.S. Manufacturing Businesses with Owned Real Estate
Manufacturing.co today announced its official launch as an acquisition-driven platform focused on purchasing and scaling U.S.-based manufacturing companies, with a particular emphasis on businesses that own both their operating companies and the underlying industrial real estate. Manufacturing.co was formed to acquire established, cash-flowing manufacturing businesses rather than build new operations from the ground up. The platform targets durable manufacturers operating in essential or specialized niches, where long-term value can be created through disciplined ownership, operational improvement, and strategic capital investment. “Our strategy is straightforward,” said Nate Nead of HOLDco . “We acquire proven manufacturing companies with real operations, real customers, and real assets—especially where ownership of the facility and the operating business are aligned under one roof.” A core differentiator of Manufacturing.co’s investment approach is its focus on acquisitions where the manufacturing company and the industrial real estate are held by common ownership. This structure provides greater operational stability, control over occupancy costs, and long-term downside protection, while creating optionality for future recapitalizations, expansions, or sale-leaseback strategies when appropriate. Manufacturing.co is actively seeking opportunities to acquire U.S. manufacturers that are founder-owned or closely held, particularly where succession planning, liquidity needs, or generational transitions are top of mind. The platform prioritizes continuity—preserving employee relationships, honoring customer commitments, and respecting the legacy built by business owners. Post-acquisition, Manufacturing.co focuses on long-term value creation through operational optimization, investment in equipment and facilities, professionalized financial and reporting systems, and thoughtful growth initiatives. Rather than financial engineering or short-term cost cutting, the platform emphasizes sustainable improvement and patient capital. The launch of Manufacturing.co comes amid a broader shift in the U.S. manufacturing landscape, as many business owners approach retirement age while facing increased complexity around labor, capital markets, and real estate ownership. Manufacturing.co positions itself as a long-term partner for owners seeking an orderly transition without dismantling the businesses they’ve spent decades building. Manufacturing business owners, intermediaries, and industry partners interested in learning more are encouraged to visit Manufacturing.co to begin a confidential conversation. About Manufacturing.co Manufacturing.co is an acquisition platform dedicated to purchasing and scaling U.S.-based manufacturing companies. The firm specializes in acquiring businesses where the operating company and underlying industrial real estate are owned together, enabling long-term operational stability and value creation. Manufacturing.co takes a disciplined, long-term ownership approach focused on preserving legacy, supporting employees, and strengthening American manufacturing.
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