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All best wishes on International Women’s day

Vmodev Women's day

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On the morning of March 16, Vmodev members raised toast to the new home at the ribbon-cutting Ceremony of the 7th VMO office.Over nearly 8 years of establishment and development, Vmodev has made a milestone marking remarkable growth in all aspects. We are constantly improving the quality of our services through the application of new technologies and the development of an experienced team of engineers and personnel.Following its development roadmap, Vmodev officially opened the 7th VMO office, on the 8th floor of IDMC building Ton That Thuyet, Hanoi.The new office has a floor area of up to 700m2, with a people-centric policy, Vmodev creates an environment where anyone can really enjoy their 8 hours a day there. Open office design, minimizing partitions to increase interaction, focusing on creating spaces for people to relax to balance work and life right in the office. Typically, they often have to sit by the computer for a long time, the desk and the comfortable headrest will support the back and spine protection for each member.And much more, it is the cohesion and creation of good values in a shared home - VMODEV

Vmodev members raised toast to the new home at the ribbon-cutting Ceremony of the 7th VMO office

Ceremony of the 7th VMO office

ceremony-of-the-7th-vmo-office

The earth reveals its innocence through the smiles of children. Best wishes for all the children on this special day.Happy International Children’s Day!!!

The earth reveals its innocence through the smiles of children!

Happy International Children’s Day 01-06

happy-international-children’s-day-01-06

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

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