Traditional biologics development is a slow, expensive, and high-risk process. From identifying a promising target to engineering the right protein molecule, researchers often spend years navigating countless iterations and dead ends. But that’s changing—thanks to the rise of&nbsp;Generative Biologics, an AI-powered approach that dramatically accelerates and improves how we discover and optimize protein-based therapeutics.What Are Generative Biologics?Generative Biologics refers to the use of advanced generative AI models, particularly deep learning and transformer-based architectures, to design novel protein sequences with desired biological properties. These AI systems are trained on vast datasets of known proteins and molecular structures, enabling them to generate new candidates that are:<ul><li>Highly specific and functional</li><li>Structurally stable</li><li>Human-compatible (reduced immunogenicity)</li><li>Optimized for developability</li></ul>This is a game-changer for areas like antibody development, enzyme engineering, and therapeutic protein discovery.Core Technology Behind Generative Biologics<ol><li>Protein Language Models (PLMs): These are trained similarly to natural language models like GPT, but instead of words, they learn the "language" of amino acid sequences. This allows the AI to generate novel, valid proteins or optimize existing ones for better performance.</li><li>Structure-to-Sequence and Sequence-to-Structure Models: AI can predict the 3D structure of a designed sequence, or reverse-engineer sequences that fold into a target structure.</li><li>Fitness Landscape Modeling: Predicts how likely a generated protein is to exhibit the desired function, helping to prioritize candidates before wet-lab validation.</li><li>Active Learning Loops: As new experimental data becomes available, the models are retrained continuously. improving their accuracy and output quality.</li></ol>Applications in Biologics R&amp;D<ul><li>De Novo Protein Design: Generate novel scaffolds that don’t exist in nature but are engineered for specific therapeutic needs.</li><li>Antibody Optimization: Improve binding affinity, stability, and specificity by mutating regions such as CDR loops using generative models.</li><li>Enzyme Engineering: Design enzymes with enhanced activity, thermal stability, or substrate specificity.</li><li>Immunogenicity Reduction: Modify sequences to make them less likely to be recognized as foreign by the human immune system.</li><li>Rapid Lead Candidate Generation: Compress months of screening into days by generating high-quality leads with better development profiles.</li></ul>Benefits of AI-Driven Generative Biologics<ul><li>Speed: Design-test cycles are cut from months to days.</li><li>Creativity: AI explores areas of the design space that human scientists wouldn’t think to explore.</li><li>Cost Efficiency: Reduce wet-lab iterations and failed experiments.</li><li>Better Outcomes: Higher probability of clinical success with optimized molecules.</li></ul>Why It Matters NowBiopharma companies face growing pressure to shorten development timelines while increasing success rates. Generative biologics provide a strategic edge, enabling smarter, faster, and more scalable innovation in protein-based therapeutics.This isn’t science fiction. AI-designed antibodies and enzymes are already moving through preclinical pipelines, with some reaching clinical development.How VMO Can HelpVMO offers custom AI solutions that integrate generative protein design into your R&amp;D workflow. Whether you're working on antibodies, enzymes, or novel therapeutic proteins, our team can help:<ul><li>Build and fine-tune foundation models for protein generation</li><li>Design and validate sequence-to-structure pipelines</li><li>Automate in silico screening and candidate optimization</li><li>Integrate wet-lab feedback into AI loops</li></ul>With our experience in life sciences and AI, we can help you unlock the full potential of generative biologics.Ready to Accelerate Your Protein Design?Let’s explore how generative AI can revolutionize your biologics pipeline.📅&nbsp;Want to know more?&nbsp;Book a call with our experts

Traditional biologics development is a slow, expensive, and high-risk process. From identifying a promising target to engineering the right protein molecule, researchers often spend years navigating countless iterations and dead ends. But that’s changing—thanks to the rise of Generative Biologics, an AI-powered approach that dramatically accelerates and improves how we discover and optimize protein-based therapeutics.

How AI is Transforming Drug Discovery and Protein Design

Traditional biologics development is a slow, expensive, and high-risk process.

how-ai-is-transforming-drug-discovery-and-protein-design

In today’s fast-paced dental industry, managing clinical staff, appointments, shift planning, and patient demand is becoming increasingly complex, especially for growing practices and dental networks. Manual scheduling, last-minute cancellations, and inefficient resource utilization can negatively impact patient experience and reduce profitability.That’s where&nbsp;digital workforce management and smart scheduling technology come in, transforming how dental offices operate.<h2>Common Challenges in Dental Practice Management</h2>Even high-performing dental clinics often face hurdles such as<ul><li>Manual staff scheduling across dentists, hygienists, and assistants</li><li>Sudden&nbsp;shift gaps due to sick leave or overbooked staff</li><li>Difficulty managing&nbsp;multiple branches or mobile dental units</li><li>Lack of&nbsp;real-time visibility into who’s available, where, and when</li><li>Missed opportunities due to&nbsp;inefficient patient slot allocation</li></ul>To address these, dental practices are turning to&nbsp;healthcare-specific digital solutions that automate, optimize, and streamline staff coordination.<h2>Smart Scheduling &amp; Staff Matching: How It Works</h2>Modern platforms use&nbsp;intelligent algorithms and&nbsp;real-time data to coordinate the right person, at the right place, at the right time. Here's how such a system typically works in a dental context:<h3>1. Centralized Staff Profile Management</h3><ul><li>Store qualifications, specialties (e.g. orthodontics, pediatric dentistry), shift preferences, and licensing status</li><li>Monitor working hours and overtime in real-time</li></ul><h3>2. Automated Shift Generation</h3><ul><li>The system generates optimized weekly or monthly rotas based on availability, workload, and regulatory limits</li><li>Configurable rules handle preferences, peak hours, or complex part-time setups</li></ul><h3>3. On-Demand Fill-In Capabilities</h3><ul><li>Quickly fill unexpected absences with qualified, pre-approved professionals in the network</li><li>Notifications are sent instantly to available staff via mobile or web apps</li></ul><h3>4. Multi-Site Coordination</h3><ul><li>For practices with multiple clinics, a dashboard helps managers oversee staffing across locations</li><li>Seamless transfer of personnel between branches depending on workload</li></ul><h3>5. Patient Booking Integration</h3><ul><li>Connect staff schedules with the booking system to reduce double-bookings or idle time</li><li>Smart suggestions for available slots based on provider type and patient need</li></ul><h2>Core Technologies Behind the Platform</h2>The power of these platforms lies in the technology stack:<ul><li>AI-Powered Scheduling Engines Forecast demand and staff needs, minimize conflicts, and suggest optimal shifts</li><li>Mobile App Interfaces Enable staff to view schedules, accept shifts, and request changes - anytime, anywhere</li><li>Real-Time Notifications &amp; Alerts For last-minute changes, shift confirmations, and patient volume surges</li><li>Role-Based Access Control &amp; Compliance Tools Ensure only authorized users view sensitive HR or patient-related data</li><li>Analytics Dashboards Provide actionable insights on staff utilization, bottlenecks, and forecasting</li></ul><h2>Why This Matters for Dental Clinics</h2>Implementing a digital workforce platform can bring tangible benefits:<figure class="table"><table><colgroup><col style="width:50%;"><col style="width:50%;"></colgroup><tbody><tr><td>Benefit</td><td>Impact on Dental Clinics</td></tr><tr><td>Reduced administrative overhead</td><td>Less time spent manually planning rotas</td></tr><tr><td>Higher staff satisfaction</td><td>Greater control over schedules, fewer last-minute changes</td></tr><tr><td>Better patient experience</td><td>On-time appointments, fewer cancellations</td></tr><tr><td>Scalability</td><td>Easily manage staffing across growing branches</td></tr><tr><td>Data-driven decision-making</td><td>Know when to hire, rotate, or reduce based on workload trends</td></tr></tbody></table></figure>Whether you're a single-location clinic or a regional network of dental providers, these tools can&nbsp;automate and optimize staffing, resulting in smoother operations and improved care delivery.<h2>VMO’s Case Study: Building a Healthcare Workforce Platform for the UK Market</h2><h3>The Challenge</h3>The client, one of the largest healthcare employers in the UK, needed a&nbsp;comprehensive digital platform to coordinate thousands of care staff, covering:<ul><li>Complex shift patterns</li><li>Last-minute vacancies</li><li>Real-time staff availability across facilities</li><li>Onboarding and compliance tracking for new hires</li></ul>Manual scheduling via spreadsheets and emails was no longer scalable.<h3>The Solution</h3>VMO developed a&nbsp;custom workforce coordination platform, which is now successfully deployed and scaled across various care organizations.Key features include:<ul><li>Automated shift planning: Matches staff to vacancies based on location, skills, availability</li><li>Digital onboarding: Allows care workers to apply, verify documents, and complete orientation online</li><li>Real-time dashboards: For administrators to monitor staffing levels and shift fulfillment across regions</li><li>Mobile support: Staff receive notifications, confirm shifts, and update availability via phone</li></ul><h3>The Impact</h3><ul><li>90% reduction in administrative overhead</li><li>40% improvement in shift fill rate</li><li>Faster onboarding of temporary workers (from days to hours)</li><li>Improved compliance and visibility in staffing metrics</li></ul>This solution was a game-changer for healthcare workforce coordination, and its core technology is&nbsp;directly transferable to dental practices.<h2>Ready to Modernize Your Dental Operations?</h2>These platforms are not limited to hospitals; they’re&nbsp;modular, cloud-based, and scalable, making them ideal for small and mid-sized dental practices.VMO has proven experience in designing such solutions from the ground up, tailored to the unique needs of the healthcare industry. If you're looking to automate your workforce planning, improve staff satisfaction, and enhance patient care,&nbsp;VMO can help you build a solution just like this.📩&nbsp;Interested in learning how this could work for your clinic? Contact the VMO team to explore a demo or get a custom consultation.

In today’s fast-paced dental industry, managing clinical staff, appointments, shift planning, and patient demand is becoming increasingly complex, especially for growing practices and dental networks. Manual scheduling, last-minute cancellations, and inefficient resource utilization can negatively impact patient experience and reduce profitability.

Dental Practice Scheduling Made Simple

dental-practice-scheduling-made-simple

<h2>From Lost Equipment to Full Visibility: How Smart Asset Tracking Is Transforming Healthcare Operations</h2>In today’s healthcare systems, efficiency is no longer a luxury; it’s a necessity. Hospitals and clinics are constantly under pressure to do more with less while maintaining patient safety and compliance. Yet many still struggle with a simple yet costly issue: not knowing the location of their equipment and medical assets at any given time.Smart asset tracking offers a powerful solution by providing real-time visibility into the location, status, and usage of everything from infusion pumps to medication carts. With deep expertise in healthcare technology systems,&nbsp;VMO helps hospitals implement tailored, scalable tracking solutions that transform operations from the inside out.<h2>Behind the Solution: How Asset Tracking Works</h2>VMO implements a hybrid solution combining:<h3>Passive RFID</h3>For high-volume assets like linens, surgical kits, and consumables. These battery-free tags enable rapid bulk scanning, making them ideal for storerooms and high-turnover areas.<h3>Real-Time Location Systems (RTLS)</h3>For high-value, mobile equipment such as EKG machines or wheelchairs. VMO leverages BLE or UWB-based RTLS to offer room-level or sub-meter tracking accuracy, accessible on desktop dashboards or mobile apps.This layered approach ensures both breadth and precision, covering the wide range of asset types and workflows across a hospital environment.<h2>Real-Time Tracking in Action</h2><ol><li>Tag assets with RFID or RTLS beacons, depending on mobility and value.</li><li>Install readers and anchors in hallways, rooms, and departments.</li><li>Enable staff access via handheld scanners or mobile applications.</li><li>Integrate systems with existing hospital software like CMMS, EHR, and inventory platforms.</li></ol>All data is visualized in a unified interface, allowing clinical and operations teams to locate, manage, and analyze their medical assets.<h2>The Benefits for Healthcare Providers</h2><h3>Reduce Equipment Search Time</h3>Locate critical tools within seconds, improving staff productivity and accelerating patient care delivery.<h3>Minimize Asset Loss and Rental Costs</h3>Prevent unnecessary rentals and procurement by maximizing the use of available equipment.<h3>Improve Inventory Accuracy</h3>Enable automated cycle counts, stock level visibility, and replenishment alerts.<h3>Streamline Maintenance &amp; Compliance</h3>Track usage patterns to automate servicing and calibration schedules—minimizing downtime and ensuring safety.<h3>Support Better Patient Care</h3>Reduce clinical delays, eliminate equipment shortages, and increase caregiver satisfaction.<h2>Why VMO?</h2>VMO brings a proven track record in&nbsp;healthcare system integration and real-time data platforms. For example:<h3>VMO Healthcare Case Study:</h3>In a recent engagement with a leading hospital group in Southeast Asia, VMO built and deployed a digital platform for<a href="https://vmogroup.com/portfolio/ai-driven">&nbsp;real-time order visibility</a> and&nbsp;clinical process tracking across multiple departments. This solution is integrated with hospital information systems (HIS), mobile apps, and logistics workflows, cutting fulfillment time by 40% and improving care coordination significantly.The same expertise in real-time data orchestration and integration is now applied to asset tracking, enabling hospitals to:<ul><li>Unify asset visibility with clinical operations</li><li>Ensure compliance with internal SLAs and MOH requirements</li><li>Improve decision-making with data-backed equipment usage analytics</li></ul><figure class="image"><img src="https://vmo-ho-web-global.s3.amazonaws.com/vmogroup-global/uploads/1755153235027-MAP%20%281%29.png"></figure><h2>Looking Ahead</h2>VMO continues to co-develop smart hospital capabilities with partners across the region, including AI-assisted workflows, predictive analytics, and mobile-first clinical applications. Asset tracking is a cornerstone of this transformation, forming the foundation for:<ul><li>Equipment demand forecasting</li><li>Staff-task-equipment coordination</li><li>Compliance automation</li><li>Patient-centric infrastructure planning</li></ul><h2>Ready to Bring Real-Time Visibility to Your Hospital?</h2>If you’re exploring how to modernize healthcare operations, VMO offers a battle-tested combination of healthcare know-how, enterprise integration, and real-time tracking technology. &nbsp;

In today’s healthcare systems, efficiency is no longer a luxury; it’s a necessity. Hospitals and clinics are constantly under pressure to do more with less while maintaining patient safety and compliance. Yet many still struggle with a simple yet costly issue: not knowing the location of their equipment and medical assets at any given time.

How Smart Asset Tracking Is Transforming Healthcare Operations

In today’s healthcare systems, efficiency is no longer a luxury; it’s a necessity.

how-smart-asset-tracking-is-transforming-healthcare-operations

Modern radiology departments are overwhelmed by imaging volumes that far outpace the number of available radiologists. In emergency settings or large hospitals, each radiologist might read hundreds of images per day, leading to fatigue, longer turnaround times, and a higher risk of diagnostic error. The demand for speed and accuracy in diagnosis is higher than ever.Pixel for Radiology aims to address this challenge through advanced AI-driven image analysis.<h3>What is Pixel for Radiology?</h3>Pixel for Radiology is an AI-based image interpretation solution that supports radiologists by automating the detection and triage of anomalies in radiological scans. It uses&nbsp;deep convolutional neural networks (CNNs) - a type of AI algorithm especially suited to image recognition to detect specific patterns and features in medical images such as CT scans, MRIs, and X-rays.The system works by ingesting DICOM files (the standard format for medical imaging), preprocessing them for noise reduction and contrast normalization, and then running them through trained AI models. These models are capable of recognizing various abnormalities, including:<ul><li>Intracranial hemorrhages</li><li>Pulmonary embolisms</li><li>Lung nodules</li><li>Bone fractures</li><li>Soft tissue lesions</li></ul>After processing, the AI highlights suspicious areas on the image and provides a confidence score, which helps radiologists quickly identify priority cases and validate findings.<h3>How It Works Technically</h3><ol><li>Preprocessing: The system applies algorithms to standardize image intensity, segment anatomical regions (e.g., lung fields, brain matter), and align images for optimal analysis.</li><li>Deep Learning Inference: CNNs trained on labeled datasets of over 1 million images identify abnormalities. Techniques such as transfer learning and multi-scale analysis are employed to enhance performance across various modalities.</li><li>Heatmap Generation: The system produces attention maps using Gradient-weighted Class Activation Mapping (Grad-CAM), highlighting regions of interest.</li><li>Triage Logic: Based on urgency criteria (e.g., likelihood of stroke or embolism), the system reorders the radiologist’s worklist to ensure that critical cases are seen first.</li><li>System Integration: Outputs are seamlessly integrated into PACS (Picture Archiving and Communication System) and RIS (Radiology Information System), facilitating interaction within existing hospital workflows. &nbsp;</li></ol><h3>Real-World Case Study</h3>At a tertiary-care trauma center in South Korea, Pixel for Radiology was deployed to assist with non-contrast head CTs in the emergency department. Within two months of implementation:<ul><li>Diagnostic reporting times for critical head injuries dropped from 25 minutes to 14 minutes</li><li>Sensitivity for detecting subtle intracranial hemorrhage improved from 89% to 96%</li><li>Radiology staff reported increased confidence during high-volume night shifts</li></ul><h3>Pros and Cons of Pixel for Radiology</h3><figure class="image"><img src="https://vmo-ho-web-global.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1754541802413-map.png"></figure><h3>How VMO Can Help</h3><a href="https://vmogroup.com/services/ai">VMO - An ALTEN company</a>, specializes in developing and deploying medical imaging AI solutions like Pixel for Radiology. We offer:<ul><li>Model customization and retraining with your data</li><li>PACS/RIS integration and hospital IT infrastructure compatibility</li><li>Clinical-grade data annotation and quality assurance</li><li>Regulatory compliance for HIPAA, GDPR, and PDPA</li></ul>If your hospital or imaging center is exploring AI to enhance diagnostic performance, VMO has the technical and clinical know-how to bring it to life. &nbsp;

Modern radiology departments are overwhelmed by imaging volumes that far outpace the number of available radiologists. In emergency settings or large hospitals, each radiologist might read hundreds of images per day, leading to fatigue, longer turnaround times, and a higher risk of diagnostic error. The demand for speed and accuracy in diagnosis is higher than ever.

From Backlog to Breakthrough:AI in Radiology That Saves Time and Lives

Modern radiology departments are overwhelmed by imaging volumes that far outpace the number of available radiologists.

from-backlog-to-breakthrough-ai-in-radiology-that-saves-time-and-lives

<h2>AI Meets Cancer Care: Pixel for Oncology in Action</h2>Enter&nbsp;Pixel for Oncology: a transformative AI solution that redefines how tumors are detected, measured, and monitored. From initial diagnosis to post-treatment follow-up, this technology empowers clinicians with accurate, repeatable, and explainable imaging insights at scale.At&nbsp;VMO – An ALTEN Company, we collaborate closely with healthcare innovators to bring such solutions to reality. Leveraging deep expertise in medical imaging, AI model development, and hospital systems integration, VMO helps healthcare providers deploy advanced technologies like Pixel for Oncology, tailored to their clinical needs, compliant with regulations, and scalable across departments.In this blog, we dive into the core of Pixel for Oncology: how it works, where it excels, and what it means for the future of cancer care.<h3>The Oncology Imaging Challenge</h3>Oncologists and radiologists must track tumors with extreme precision over multiple imaging sessions. This process is not only labor-intensive but also prone to variability; different clinicians may measure tumors slightly differently, leading to inconsistencies in treatment assessment.Additionally, manually applying evaluation frameworks such as RECIST (Response Evaluation Criteria in Solid Tumors) is time-consuming and error-prone.Pixel for Oncology brings AI automation into cancer imaging, offering precise, reproducible, and clinically useful insights across the entire cancer care continuum.<h3>What is Pixel for Oncology?</h3>Pixel for Oncology is an AI solution designed for tumor detection, segmentation, and treatment response monitoring. Built on&nbsp;3D Convolutional Neural Networks (3D-CNNs) and&nbsp;transformer-based architectures, it processes volumetric scans (CT, PET, MRI) to locate, measure, and compare lesions over time.The solution is tailored for cancers, including:<ul><li>Lung cancer</li><li>Breast cancer</li><li>Liver and colorectal cancer</li><li>Prostate cancer</li><li>Lymphomas and metastases</li></ul>It automates RECIST evaluations, longitudinal comparisons, and structured reporting, enhancing consistency and accelerating clinical workflows.<h3>Technical Workflow</h3><ol><li>Image Normalization: Input DICOM scans are standardized in terms of orientation, intensity values, and voxel spacing.</li><li>Tumor Segmentation: The AI uses deep learning models to detect and delineate tumor boundaries at voxel-level precision. Training includes thousands of expert-annotated cases.</li><li>Volumetric Measurement: Algorithms compute tumor volume, cross-sectional area, and changes over time, using 3D reconstruction.</li><li>RECIST Classification: Automatically categorizes response as Complete Response (CR), Partial Response (PR), Stable Disease (SD), or Progressive Disease (PD) based on lesion dynamics.</li><li>Structured Report Generation: Outputs consistent, machine-readable summaries that can be reviewed by oncologists, pathologists, or shared across multidisciplinary teams. &nbsp;</li></ol><h3>Real-World Case Study</h3>A cancer institute in Singapore piloted Pixel for Oncology for follow-up CTs in non-small cell lung cancer (NSCLC) patients. Within three months:<ul><li>Follow-up reporting time dropped from 18 minutes to 8 minutes</li><li>Inter-observer variability in lesion measurement reduced by 45%</li><li>Tumor board discussions were shortened by 30% due to standardized reports and AI-suggested trends</li></ul><h3>Pros and Cons of Pixel for Oncology</h3>Pros:<ul><li>High Precision: AI detects and measures tumors with greater consistency than manual approaches.</li><li>Improved Workflow: Structured, automated RECIST scoring reduces the cognitive burden on radiologists.</li><li>Better Monitoring: Enables consistent tracking across timepoints, reducing guesswork in longitudinal assessments.</li><li>Clinical Trial Ready: Standardized outputs make it ideal for research and drug trials.</li></ul>Cons:<ul><li>Edge Case Sensitivity: Post-treatment changes like scarring or implants may confuse the model without proper tuning.</li><li>Training Data Dependency: Accuracy is highest when local data and clinical practices match the training set.</li><li>Interpretability Gap: Oncologists must be trained to understand AI outputs, especially in complex edge cases.</li><li>Regulatory Pathways: Full CE/FDA approval may be required for clinical decision-making use in some regions.</li></ul><h3>How VMO Can Help</h3>VMO supports hospitals, cancer centers, and research institutes in:<ul><li>Developing oncology-specific AI tools tuned to your imaging protocols</li><li>Integrating with clinical systems like PACS, EMR, and tumor board software</li><li>Deploying AI via cloud or on-prem infrastructure with data protection</li><li>Supporting structured annotation and data pipeline development for clinical trials</li></ul>If you want to explore AI for tumor tracking and cancer care automation, we’d love to help.

Enter Pixel for Oncology: a transformative AI solution that redefines how tumors are detected, measured, and monitored. From initial diagnosis to post-treatment follow-up, this technology empowers clinicians with accurate, repeatable, and explainable imaging insights at scale.

AI Meets Cancer Care: Pixel for Oncology in Action

At VMO – An ALTEN Company, we collaborate closely with healthcare innovators to bring such solutions to reality.

ai-meets-cancer-care-pixel-for-oncology-in-action

VMO Impresses at Japan IT Week 2025&nbsp;On April 23–25, <a href="https://www.facebook.com/vmojp?__cft__[0]=AZUiY1ZVayj2tZOlbWio1anjNykONbKJI9Qnyyz2M-f_E1JfYIpH5GNtT-G4eOH8AmBTY1vYYyaEdE1CwfjT6W-NZksj5Cn2Nch6AGlPTp2fcwn1FVrX67D8otjQUYFF31ObSJOmiAE7zqlzGUAYm--l&amp;__tn__=-]K-R">VMO Japan</a> participated in Japan IT Week, one of Japan’s major tech events, with the goal of connecting and expanding international partnerships.At the event, VMO also showcased its AI capabilities with the theme “Drive the AI - Guide to Innovate.”VMO Japan introduced a custom-built chatbot similar to ChatGPT with a unique twist: it featured real-time voice and video interactions, with a live human - a VMO staff member - role-playing as the chatbot.

On April 23–25, VMO Japan participated in Japan IT Week, one of Japan’s major tech events, with the goal of connecting and expanding international partnerships.

At the event, VMO also showcased its AI capabilities with the theme “Drive the AI - Guide to Innovate.” 
VMO Japan introduced a custom-built chatbot similar to ChatGPT with a unique twist: it featured real-time voice and video interactions, with a live human - a VMO staff member - role-playing as the chatbot.

#VMOHoldings #VMOJapan #JapanITWeek

VMO Impresses at Japan IT Week 2025

On April 23–25, VMO Japan participated in Japan IT Week, one of Japan’s major tech events

vmo-impresses-at-japan-it-week-2025

On April 1, 2021, VMO Holdings Technology Joint Stock Company (VMO) held a Ceremony to announce its Vision, Mission &amp; Core Values which has been solidified during the past 10 years of establishment and development. On that enduring journey full of proud milestones was the great leadership of the Board of Directors, in alignment with the consensus of all the members of VMO.&nbsp;Along with the outstanding development and growth, VMO embraces the goal of meeting an increasingly rigorous requirements of the IT market, conquering the satisfaction of significant customers in various large-scale projects. Above all lies the ultimate development goal of VMO, closely tied with its core values, lofty mission, and new vision to bring VMO to a new position, increase its influence and spread more good values to the community.In parallel with the investment and development of human resources and technology, VMO clearly understand the desires and ideal that company needs to implement to make VMO a global technology company. VMO officially announce its Mission, Vision &amp; Core values Statement:&nbsp;OUR VISION&nbsp;To be recognized as a Global Leading IT Company<ul><li>To actualize the innovative idea of clients around the world with professional software development and business consultation services.</li></ul>OUR MISSIONFrom Idea to Reality, From Goodwill to Impact<ul><li>VMO turn&nbsp;the&nbsp;ideas of the clients&nbsp;into valuable products that actively contribute for the betterment of the society.</li></ul>OUR CORE VALUESDesire<ul><li>Desire is the aspiration to achive greatness. We desire, we change, we thrive.</li></ul>Transparency<ul><li>&nbsp;VMO Holdings embraces transparency. Internally, we make sure that every voices are listened. To clients, we build the relationship with goodwill and trust. Transparency is the foundation of sustainable development.</li></ul>Conscientiousness<ul><li>We treat each task&nbsp;with&nbsp;passion and enthusiasm. Dedication is the secret of outstanding efficiency.</li></ul>Synergy&nbsp;<ul><li>We&nbsp;are group&nbsp;of&nbsp;different personalities with a same will&nbsp;and common goal. Synergies is the engine of great teamwork.</li></ul>VMO Holdings Technology Joint Stock Company hopes that a new vision, mission, and core values will serve to achieve company’s development goals, bring company to a new position, upgrade its corporate culture, and create useful values to contribute to the development of global humanity.

On April 1,  VMO officially announced vision, mission and Core values Statement

VMO ANNOUNCED VISION, MISSION, CORE VALUES

vmo-announced-vision-mission-core-values

Since its inception, the internet has experienced tremendous technological and infrastructural progress to achieve its current appearance and performance. It has steadily developed from a tool for information exchange to a worldwide participatory platform with virtually limitless possibilities.Access to a global market via an interactive and dynamic Web 3.0 has helped businesses to expand and develop. The internet has gone a long way in recent years, but it's vital to look back to understand the essence and mechanism of Web3 and how it got there.<h2>Do you know about the definition of Web 3.0?</h2>Web 3.0 is a term that was coined by Tim Berners-Lee to describe the third generation of the World Wide Web.Not easy to pin down a clear description of Web 3.0 - also known as Web3- because it continues to be a collection of concepts. To definite it in the simplest way, Web 3.0 is a technology that offers a fair, open, and transparent network where users can communicate without worrying about their privacy or security. By fusing the strength of artificial intelligence and Big Data with the ability to make the website semantic, the web version will be intelligent on the internet.Many people consider Web 3.0 as the fourth industrial revolution because of its massive impact on many industries, including finance, healthcare, retail, and education. Blockchain, with its unique mechanism, will be enabled to become more human by Web 3.0. Blockchain will change the way data is gathered and maintained on the internet. The technology will pull together all the focused data and turn it into information that cannot be hacked or reproduced with the assistance of Al and IoT.<figure class="image"><img src="https://vmo-website-prod.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1663305385567-Web%203.0%20and%20its%20huge%20impact%20on%20the%20Future%20of%20Technology%202%20-%20VMO%20Holdings.jpg"></figure><h2>&nbsp;</h2><h2>What Are the Key Features of Web 3.0?</h2>The emergence of blockchain technology and distributed ledger systems is driving Web 3.0. It will allow for new forms of applications that are not now possible with current web technology. Created on top of decentralized networks, which are less susceptible to censorship and outages, Web3 is a more open and accessible platform for innovation.The digitalization of assets via tokenization is critical to Web 3.0 innovation. Tokenization is the process of transforming assets and rights into a digital representation, or token, on a blockchain network. For starters, consumers will like selling their data to individuals. They will do so while retaining control and privacy of the data. Furthermore, web 3.0 will enable websites to make better use of data.Key to the innovation in Web 3.0 is the digitization of assets via tokenization. Tokenization converts assets and rights into a digital representation, or token, on a blockchain network.&nbsp;Below are the outstanding main features that can help us define Web 3.0:<ol><li>Semantic Web:&nbsp; Enhances web technologies' capacities to produce, share, and link material via search and analysis by comprehending the meaning of words rather than keywords or numbers.</li><li>Artificial Intelligence: Computers may grasp information on a human-like level by merging semantic skills with natural language processing, allowing them to give faster and more relevant results. As a result, they grow more intelligent and better meet the demands of consumers.</li><li>Connectivity: Because of semantic metadata, information is more linked in Web 3.0. As a result, the user experience transforms into a new level of connectedness that makes full use of all accessible data.</li><li>Ubiquity: Internet information and services are allowed to be ready for access from any device, rather than just PCs and smartphones. Previous editions of Web like Web 2.0 is already pervasive in many ways, but the proliferation of IoT devices will set the new bar for it.</li><li>Blockchain: User data is safeguarded and encrypted using blockchain technology. It prohibits major corporations from controlling and/or exploiting customers' personal data.</li><li>Decentralized: Decentralized data networks store data within a peer-to-peer interconnection. Users maintain ownership over their data and digital assets and are able to log in securely over the internet without being tracked.</li><li>Edge Computing: Web 3.0 relies on the advancement of edge computing, which processes apps and data at the network edge on devices such as mobile phones, computers, appliances, sensors, and even automobiles.</li></ol>&nbsp;<h2>How to Make Your Business More Competitive with Web 3.0</h2>Web 3.0 may help businesses in a variety of ways. Let's look at some of the spotlights where your business might benefit from new technology:<h3>Customer Relationship Management:</h3>Customer Relationship Management (CRM) has always been a central focus for businesses and with good reason. Understanding customer needs and desires is essential for delivering tailored services and offers that will lead to increased sales and loyalty. However, traditional CRM methods have often been limited by the data available, making it difficult to gain a truly holistic view of the customer.Web 3.0 promises to change that, by providing businesses with access to a wealth of new data sources. Through social media, browsing history, and other data sources, businesses will be able to gain a much deeper understanding of their customers. This will allow them to offer customized services that are much more likely to resonate with customers. In turn, this will lead to improved customer relationships and increased sales. Web 3.0 thus has the potential to revolutionize CRM and transform the way businesses interact with their customers.<h3>Supply Chain Management:</h3>SCM is the process of planning, implementing, and controlling the operations of a supply chain. It includes the movement and storage of raw materials, work-in-progress, and finished goods. Supply chains are used to produce and deliver products and services to customers. A key goal of SCM is to optimize the flow of materials, information, and finances across the supply chain to meet customer demand.In recent years, there has been a shift from traditional supply chains to more decentralized Supply Chain Networks (SCNs). SCNs are composed of a network of suppliers, manufacturers, distributors, retailers, and other members that are connected through information and communication technologies.Web 3.0 is the next generation of the World Wide Web that is being developed based on Semantic Web technologies. It will be a more intelligent and user-centric web where data is interconnected and can be processed by machines. The decentralized nature of Web 3.0 will make Supply Chains more efficient and secure. This will reduce costs and improve the quality of products and services.<h3>Data Management:</h3>The use of the internet has already transformed the way businesses operate. With the advent of Web 3.0, we are likely to see even more radical changes. One area that is likely to be affected is data management. The increased ability to share and collaborate on data is likely to lead to new business models based on data sharing and collaboration. This will allow businesses to better manage their data and use it to improve their products and services. Data-driven businesses will be able to create new value propositions and offer new services that were not previously possible. In addition, the increased use of data will allow businesses to better understand their customers and tailor their products and services to meet their needs. The possibilities are endless, and we are only just beginning to scratch the surface of what Web 3.0 will make possible.<h3>Marketing and Advertising:</h3>Web 1.0 was focused on providing information and Web 2.0 allowed for two-way interaction, Web 3.0 is all about giving users a personalized experience. This shift is already having an impact on marketing and advertising. By creating a more personalized user experience, Web 3.0 makes it possible for marketers to reach their target audiences more effectively. As a result, we will see increased sales and brand awareness from companies that will opt for Web 3.0 technologies. In the future, we can expect more companies to make the switch to Web 3.0, to stay ahead of the competition and better meet the needs of their customers.<h2>&nbsp;</h2>

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