For decades, Customer Relationship Management (CRM) systems in the pharmaceutical industry were designed with a single goal: to track sales activities. They served as digital logbooks for field representatives - recording visits, calls, and prescription data. But today, the industry is undergoing a profound shift. CRM has moved far beyond sales tracking to become a strategic platform for&nbsp;value creation,&nbsp;patient engagement, and&nbsp;evidence-based decision making.The question for pharma is no longer&nbsp;“What did our sales team do?”&nbsp;- it is&nbsp;“How are we delivering meaningful value to healthcare providers (HCPs), patients, and the wider care ecosystem?”<h2>The Early Days: CRM as a Sales Control Tool</h2>Historically, CRM in pharma focused primarily on:<ul><li>Call tracking and rep scheduling</li><li>Basic reporting on prescription trends</li><li>Monitoring sales force productivity</li></ul>These systems were transactional. Communication was one-directional—from pharma to physicians - with limited capacity for insight, personalization, or true relationship building.<h2>The Shift: From Activity Tracking to Engagement</h2>As healthcare evolved, so did expectations from HCPs and patients. Personalized medicine, digital health platforms, and omnichannel communication forced pharma to rethink CRM.Pharma began asking:<ul><li>How do physicians prefer to engage - with digital, in-person, or hybrid touchpoints?</li><li>What information do patients and caregivers find valuable?</li><li>How can we strengthen trust, not just frequency?</li></ul>Digital transformation moved CRM from a simple repository to an&nbsp;integration hub connecting marketing, medical affairs, commercial teams, and patient support.The New Paradigm: CRM as a Value Creation EngineModern CRM platforms are now designed to deliver outcomes, not just record activities. They integrate data from electronic health records (EHR), patient support programs, real-world evidence, and digital therapeutics - empowering pharma companies to build long-term relationships, not one-time transactions.<figure class="table" style="float:left;"><table style=";"><colgroup><col style="width:50%;"><col style="width:50%;"></colgroup><tbody><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Then: Sales Tracking</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Now: Value Creation</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Call logs &amp; visit frequency</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">End-to-end HCP &amp; patient journey mapping</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Static dashboards</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Predictive insights &amp; recommendations</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Sales-centric</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Care-centric &amp; outcome-driven</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Siloed commercial view</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Integrated medical, marketing &amp; patient insights</td></tr></tbody></table></figure> &nbsp;<h2>Real-World Proof: Why Transformation Is Urgent</h2>Despite massive investment, traditional CRMs are failing to deliver the value modern healthcare demands:80% of pharma companies are disappointed with their CRM’s ability to generate meaningful HCP engagement Pharma invests&nbsp;over US$4.4 billion annually in CRM platforms (ZS Associates report)Yet, leading innovators show what’s possible with evolved, AI-driven CRM:A global pharma firm using AI-powered CRM personalization achieved&nbsp;25% higher HCP satisfaction and&nbsp;15% sales uplift (CloseUp CRM Report)Sales teams using predictive CRM "Next Best Action" achieved&nbsp;1.5× higher performance, and clinics supported by dynamic engagement saw&nbsp;30% faster therapy adoption (IntuitionLabs Case Study)These cases confirm a critical truth:&nbsp;The value of CRM lies not in logging interactions, but in shaping better care decisions.<h2>The Rise of AI, Data &amp; Predictive Engagement</h2>Modern CRM is becoming an intelligent ecosystem powered by:<ul><li>AI-based recommendations for next best action</li><li>Omnichannel coordination (field, email, webinars, MSL outreach)</li><li>360° HCP insights integrating behavior, preferences, treatment focus</li><li>Patient journey support through adherence, education, and feedback tools</li></ul>The next generation of CRM moves from&nbsp;“informing sales” to&nbsp;“orchestrating relationships.”<h2>How VMO Accelerates the Future of Pharma CRM</h2>At&nbsp;VMO, we partner with pharmaceutical and healthcare organizations to modernize CRM with intelligence, integration, and industry compliance.We support clients to:<ul><li>Build AI-driven engagement models for HCP and patient personalization</li><li>Integrate CRM with clinical systems, patient apps, and RWE/medical data&nbsp;</li><li>Develop digital platforms for Medical Affairs &amp; Patient Support Programs</li><li>Enable HIPAA/GDPR-compliant architectures for global scalability</li></ul>VMO goes beyond implementation - we help pharma move from&nbsp;systems of record to systems of impact.<h2>Conclusion: From Selling to Serving</h2>The evolution of CRM in pharma reflects a deeper transformation—from transactional selling to long-term relationship building focused on&nbsp;trust, outcomes, and care.The future belongs to companies that ask:“How do we support physicians and patients better—not just how do we sell more?”CRM is no longer just a commercial tool. It is becoming a strategic engine for meaningful healthcare value.At VMO, we believe the real evolution of CRM is human: empowering better decisions, better connections, and better care.

The question for pharma is no longer “What did our sales team do?” - it is “How are we delivering meaningful value to healthcare providers (HCPs), patients, and the wider care ecosystem?”

From Sales Tracking to Value Creation: The Evolution of CRM in Pharma

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In healthcare, technology isn’t just about innovation; it’s about&nbsp;accuracy, safety, and trust. Whether you’re building an AI-powered diagnostic platform, a telemedicine app, or a clinical data system, the success of your project depends on one critical decision:&nbsp;choosing the right tech partner.But with hundreds of vendors claiming healthcare expertise, how can you tell who truly understands both&nbsp;technology and clinical reality?<h3>1. Proven Healthcare Experience: Beyond Buzzwords</h3>When evaluating potential partners, look for&nbsp;proven experience across actual healthcare projects, not just generic software builds. The right partner should:<ul><li>Have delivered solutions in&nbsp;regulated healthcare environments (HIPAA, GDPR, PDPA, ISO 13485).</li><li>Understand the&nbsp;end-to-end healthcare journey from patient data intake and diagnostics to analytics, claims, and reporting.</li><li>Show experience integrating with&nbsp;EHR, PACS, LIS, or HIS systems using standards like&nbsp;FHIR, HL7, and DICOM.</li><li>Demonstrate success in&nbsp;AI-driven healthcare use-cases, such as diagnostic imaging, disease prediction, and patient engagement tools.</li><li>Provide references or case studies proving measurable&nbsp;clinical or operational impact.</li></ul>Example: A true healthcare tech expert won’t just train an AI model; they’ll know how to validate it using anonymized medical datasets, design explainable outputs for clinicians, and comply with regulatory audit processes.<h3>2. Regulatory and Security Competence</h3>Your partner must understand medical data privacy at its core:<ul><li>Apply&nbsp;end-to-end encryption, role-based access, and secure data transmission.</li><li>Comply with&nbsp;HIPAA, GDPR, PDPA, and international standards like&nbsp;ISO 27001 / ISO 13485.</li><li>Support&nbsp;traceability, audit trails, and anonymization for sensitive data.</li></ul>A single compliance gap can stop an entire deployment or, worse, expose patient information.<h3>3. Interdisciplinary Team</h3>Great healthcare solutions are built by teams that combine&nbsp;AI and clinical intelligence. Look for partners who can bring together:<ul><li>AI/ML engineers who understand medical imaging and data modeling</li><li>Data engineers who build secure healthcare data pipelines</li><li>UX experts who design for doctors and nurses, not just end-users</li><li>Regulatory specialists who ensure compliance through every phase</li><li>Medical advisors who validate real-world relevance</li></ul><h3>4. Integration &amp; Interoperability Mindset</h3>Healthcare systems are complex. EHRs, labs, devices, and insurance platforms often speak different “languages.” The right partner builds for&nbsp;interoperability, not isolation:<ul><li>Supports&nbsp;FHIR, HL7, and DICOM standards</li><li>Ensures seamless connection between internal hospital systems and external partners</li><li>Designs architecture that scales with future integrations</li></ul>A good system connects people and data, not just software and servers.<h3>5. Long-Term Partnership and Innovation Mindset</h3>Technology in healthcare evolves fast. The right partner doesn’t walk away after launch — they&nbsp;stay to optimize, scale, and adapt. They should help you:<ul><li>Expand into predictive analytics, patient engagement, or remote monitoring</li><li>Evolve with new compliance frameworks</li><li>Continuously improve data quality and system resilience</li></ul>In healthcare, success isn’t a one-time delivery. It’s a&nbsp;long-term relationship built on reliability and innovation.<h3>Why VMO Healthcare</h3>At&nbsp;VMO (part of the ALTEN Group), we combine&nbsp;deep healthcare expertise with world-class engineering to help clients innovate safely and effectively.Our strengths include:<ul><li>Clinical-grade AI &amp; Data Engineering - delivering intelligent, interoperable, and secure healthcare solutions</li><li>Compliance-first approach - HIPAA, GDPR, and PDPA-ready systems</li><li>Global reach, local agility - blending ALTEN’s global experience with VMO’s strong presence in APAC</li></ul>We don’t just build technology - we&nbsp;co-create healthcare innovation that improves outcomes, reduces friction, and scales globally. &nbsp;

In healthcare, technology isn’t just about innovation; it’s about accuracy, safety, and trust.
 Whether you’re building an AI-powered diagnostic platform, a telemedicine app, or a clinical data system, the success of your project depends on one critical decision: choosing the right tech partner.

What to Look for in a Tech Partner for Your Next Healthcare Project

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Early detection saves lives. In cancer care, the sooner a diagnosis is made, the higher the chance of successful treatment. Yet, traditional screening methods often come too late or are too limited in scope. This is where&nbsp;Artificial Intelligence (AI) is changing the game.<h2>The Promise of AI in Early Cancer Detection</h2>AI systems can analyze massive amounts of data from imaging scans, pathology slides, genomics, and even wearable devices - to detect subtle patterns invisible to the human eye.<ul><li>Medical Imaging: AI models can flag early-stage tumors in CT, MRI, or mammogram images with remarkable accuracy.</li><li>Genomic &amp; Multi-Omics Data: Advanced algorithms detect genetic mutations and molecular signatures linked to cancer risk.</li><li>Wearables &amp; Real-Time Monitoring: Continuous tracking of vital signs and biomarkers provides early warning signals for potential abnormalities.</li></ul><h2>Real-World Examples</h2>AI for cancer detection is not just a concept; it’s already being used worldwide:<ul><li>Google Health (UK NHS, 2020): AI outperformed radiologists in detecting breast cancer from mammograms, reducing both false positives and false negatives.</li><li>Tempus (US): Uses AI-driven genomic profiling to help oncologists predict tumor growth and recommend targeted therapies.</li><li>Lunit INSIGHT (South Korea): Deployed in hospitals across Asia and Europe, this AI system detects lung cancer nodules in chest X-rays with high accuracy.</li><li>Paige.AI (US): FDA-approved AI pathology platform that assists pathologists in detecting prostate cancer earlier and more reliably.</li></ul>These examples show that AI is no longer futuristic; it is becoming part of standard oncology workflows.<h2>Challenges to Consider</h2>While the benefits are enormous, adoption comes with important questions:<ul><li>Accuracy &amp; Bias: AI models must be validated across diverse populations to ensure fair and reliable predictions.</li><li>Integration with Clinical Practice: AI should support doctors, not replace them. The best systems act as co-pilots, enhancing clinical decision-making.</li><li>Data Privacy &amp; Security: Sensitive medical data requires strict governance to maintain patient trust.</li></ul><h2>How VMO Supports This Transformation</h2>At&nbsp;VMO, we collaborate with healthcare providers, pharmaceutical companies, and medtech innovators to bring&nbsp;AI-powered cancer detection closer to reality. Our team helps by:<ul><li>Building&nbsp;early detection AI models</li><li>Designing&nbsp;secure data pipelines that combine imaging, clinical, and multi-omics data.</li><li>Embedding&nbsp;compliance and governance into every solution (HIPAA, GDPR).</li><li>Delivering platforms that integrate smoothly into existing clinical workflows.</li></ul>Our role is to ensure that AI systems in healthcare are&nbsp;not just innovative but also reliable and trusted, so that patients and clinicians can benefit with confidence.<h2>Final Thought</h2>Would you trust AI with a life-changing early warning? The future of cancer care may well depend on it. &nbsp;

Early detection saves lives. In cancer care, the sooner a diagnosis is made, the higher the chance of successful treatment. Yet, traditional screening methods often come too late or are too limited in scope. This is where Artificial Intelligence (AI) is changing the game.

Early Cancer Warnings: Would You Rely on AI?

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<h2>GenAI for Environmental Sustainability: Turning Data into Green Action</h2>Environmental sustainability is no longer just a policy goal; it’s a technology challenge. With rising global emissions, waste, and resource scarcity, businesses and governments are seeking smarter ways to predict, manage, and reduce their environmental footprint.&nbsp;Generative AI (GenAI) is emerging as a powerful enabler in this mission.<h2>How Generative AI is Driving Sustainability</h2><h3>Energy Optimization</h3>GenAI models can simulate and design more efficient energy systems—whether optimizing power grids, forecasting renewable output, or generating strategies for energy storage.Real Case: Google’s DeepMind applied AI to optimize energy usage in data centers, cutting cooling costs by&nbsp;40%, directly reducing energy footprints.<h3>Smart Manufacturing</h3>In manufacturing, AI can generate optimized production workflows, minimizing waste and reducing energy consumption. Generative design techniques allow engineers to create lighter, stronger components using fewer raw materials.Real Case: Airbus used generative design to reimagine aircraft parts, reducing material usage by up to&nbsp;45% and lowering fuel consumption across fleets.<h3>Climate Modeling &amp; Prediction</h3>Traditional climate simulations are computationally heavy. GenAI accelerates predictive modeling by generating synthetic but accurate climate scenarios.Real Case: NVIDIA’s&nbsp;Earth-2 project uses AI-powered “digital twin” technology to simulate global climate systems with higher speed and precision, helping policymakers plan for extreme weather.<h3>Sustainable Agriculture</h3>AI can generate optimized crop rotation strategies, irrigation patterns, and soil treatments.Real Case: The Climate Corporation leverages AI to simulate and recommend farming practices that reduce water and fertilizer use, helping farmers cut both costs and emissions.<h3>Circular Economy &amp; Recycling</h3>Generative AI can propose innovative ways to recycle materials, design reusable packaging, and predict the lifecycle of products.Real Case: IBM’s&nbsp;AI for recycling initiative uses machine learning to generate new sorting and reuse strategies, improving recycling rates and reducing landfill waste.<h2>Why This Matters - The Numbers</h2><ul><li>AI could help reduce global greenhouse gas emissions by up to&nbsp;4% by 2030 (PwC).</li><li>Generative design can lower material usage in manufacturing by&nbsp;up to 45%.</li><li>AI-optimized energy systems can reduce&nbsp;10 - 20% of energy waste in utilities and industry.</li><li>In agriculture, AI-driven practices can cut water usage by&nbsp;up to 30% while increasing yield. &nbsp;</li></ul>These figures show that&nbsp;GenAI is not just a futuristic concept, it’s delivering measurable environmental and economic value today.<h2>VMO’s Role</h2>At&nbsp;VMO Holdings, we’ve seen how AI can reshape industries. From&nbsp;AI-driven predictive analytics in healthcare and logistics to&nbsp;sustainability-focused digital transformation, our teams help enterprises apply generative AI not just for efficiency but also for long-term environmental responsibility.The question is no longer whether AI can help, but how fast organizations are ready to adopt it to secure a greener future.

Environmental sustainability is no longer just a policy goal; it’s a technology challenge. With rising global emissions, waste, and resource scarcity, businesses and governments are seeking smarter ways to predict, manage, and reduce their environmental footprint. Generative AI (GenAI) is emerging as a powerful enabler in this mission.

GenAI for Environmental Sustainability: Turning Data into Green Action

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<h2>Predictive Cold Chain Analytics for Pharma Supply</h2>How AI is safeguarding medicine quality and reducing risks in pharma logisticsIn pharmaceutical supply chains,&nbsp;temperature control isn’t optional; it’s life-critical. From vaccines and biologics to specialty drugs, a deviation of just a few degrees can compromise safety, efficacy, and patient trust. Yet, traditional cold chain monitoring often responds&nbsp;only after a problem has occurred. By then, it’s already too late.This is where&nbsp;Predictive Cold Chain Analytics (PCCA) powered by AI comes in.<h2>The Challenge: Billions Lost, Lives Affected</h2><ul><li>The&nbsp;WHO estimates that up to 50% of vaccines are wasted annually, largely due&nbsp;to failures in temperature control and logistics.</li><li>In India,&nbsp;wastage at service delivery points reaches 56.8% for BCG and over 40% for several other vaccines (UNICEF).</li><li>A study across primary care practices showed only&nbsp;32% of medical refrigerators maintained correct ranges; nearly half recorded dangerous high or low temperatures.</li><li>Globally,&nbsp;2.7 billion people lack dependable vaccine access due to weak cold chain systems (SEforALL). &nbsp;</li></ul>Clearly, the current approach is unsustainable.<h2>Why Predictive Analytics Matters</h2>Instead of relying only on sensors that alert when a shipment is already out of range, predictive systems use AI models to&nbsp;forecast risks before they happen. They analyze:<ul><li>Real-time sensor data (temperature, humidity, vibration, light exposure)</li><li>External conditions (weather, customs delays, transport disruptions)</li><li>Historical patterns (routes, carriers, seasonal risks)</li></ul>The result? Logistics teams can proactively intervene, rerouting a shipment, adding cooling packs, or adjusting handling long before the medicine is at risk.<h2>The Technology Behind Predictive Cold Chain Analytics</h2>PCCA is powered by an integrated tech stack:<ol><li>IoT &amp; Smart Sensors <ul><li>Temperature, humidity, vibration, and GPS sensors track shipments in real-time.</li><li>Data is collected continuously at the edge, reducing dependency on delayed manual logs. &nbsp;</li></ul></li><li>Edge &amp; Cloud Computing <ul><li>Edge devices filter and preprocess sensor data (removing noise, flagging anomalies).</li><li>Cloud platforms aggregate this data across regions for advanced analytics and visualization. &nbsp;</li></ul></li><li>AI &amp; Machine Learning Models <ul><li>Time-series forecasting (ARIMA, Prophet, LSTM networks) predicts future temperature drifts.</li><li>Anomaly detection algorithms spot unusual patterns, e.g., a container warming faster than expected.</li><li>Predictive risk scoring integrates external data like weather APIs, traffic patterns, and customs clearance trends to calculate the probability of a breach. &nbsp;</li></ul></li><li>Digital Twin Simulations <ul><li>Virtual replicas of shipments or storage facilities simulate “what-if” scenarios, e.g., how a 4-hour flight delay affects drug stability.</li><li>These simulations guide proactive interventions before real-world risks occur. &nbsp;</li></ul></li><li>Dashboards &amp; Alerts <ul><li>Centralized platforms provide logistics managers with predictive insights.</li><li>Automated alerts recommend interventions: rerouting, dry ice replenishment, or emergency transfer.</li></ul></li></ol><h2>Real Impact on Pharma Supply</h2><ul><li>Reduced spoilage &amp; waste: Cutting into the billions of dollars lost every year.</li><li>Regulatory compliance: Predictive logs simplify audits for FDA, EMA, and GDP standards.</li><li>Cost efficiency: Fewer ruined batches mean major savings.</li><li>Patient safety &amp; trust: Medicines reach patients safely, effectively, and reliably.</li></ul><h2>Case in Action</h2>Imagine a biologics shipment traveling from Europe to Asia. The AI platform predicts a&nbsp;6-hour customs delay under high temperatures. Before exposure happens, the system flags the risk and recommends dry ice replenishment at the nearest hub. The pharma company prevents a&nbsp;multi-million-dollar loss and ensures patients receive effective medicine.How VMO Can HelpAt&nbsp;VMO - an ALTEN Company, we bring deep expertise in&nbsp;AI for healthcare and pharma supply chains:<ul><li>Predictive AI models tailored for cold chain logistics</li><li>IoT + edge computing + cloud analytics integration</li><li>End-to-end compliance (HIPAA, GDPR, GDP)</li><li>Dashboards with real-time predictive insights</li></ul>Our experience in&nbsp;AI-powered healthcare solutions, from radiology to patient monitoring extends naturally into&nbsp;supply chain resilience. With predictive cold chain analytics, VMO helps pharma companies not just monitor, but&nbsp;outsmart risks before they happen. &nbsp;

In pharmaceutical supply chains, temperature control isn’t optional; it’s life-critical. From vaccines and biologics to specialty drugs, a deviation of just a few degrees can compromise safety, efficacy, and patient trust. Yet, traditional cold chain monitoring often responds only after a problem has occurred. By then, it’s already too late.

Predictive Cold Chain Analytics for Pharma Supply

How AI is safeguarding medicine quality and reducing risks in pharma logistics

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<h2>The Challenge of Drug Repurposing</h2>Developing a new drug can take over a decade and cost billions of dollars.&nbsp;Drug repurposing - identifying new therapeutic uses for existing drugs - offers a faster, more cost-effective path. However, finding meaningful drug-disease associations requires analyzing massive biomedical datasets, integrating molecular structures, biological pathways, and clinical outcomes. Traditional methods struggle to capture the complex relationships between these data points.<h2>Enter Graph Neural Networks (GNNs)</h2>Graph Neural Networks are a class of deep learning models designed to work directly on graph-structured data - where entities (nodes) like drugs, proteins, and diseases are connected by edges representing interactions, pathways, or similarities.In drug repurposing, GNNs can:<ul><li>Integrate diverse biomedical data (drug molecular graphs, protein-protein interaction networks, and disease-gene associations).</li><li>Learn complex relationships between drugs and diseases beyond simple pairwise similarities.</li><li>Predict novel links between existing drugs and potential new indications with higher accuracy.</li><li>Reduce false positives by leveraging structural and functional knowledge embedded in biological networks.</li></ul>Example: A GNN model could learn from known drug-disease interactions, molecular structures, and gene expression profiles to predict that a cancer drug may also benefit patients with certain neurodegenerative disorders.<h2>By the Numbers: The Case for AI-Powered Drug Repurposing</h2><ul><li>30–40% of FDA-approved drugs in the late 2000s originated from repurposing efforts.</li><li>Repurposed drugs have an average&nbsp;≈30% approval rate, compared to&nbsp;≈10% for new drugs.</li><li>In real-world GNN applications, models like&nbsp;Dr-COVID identified 150 candidate drugs for COVID-19,&nbsp;46 of which were already in clinical trials, with known treatments ranking in the&nbsp;top 15 predictions.</li></ul>These figures highlight why GNN-powered repurposing is not just a theoretical breakthrough but a&nbsp;statistically proven accelerator for drug discovery.<h2>Why GNNs are Game-Changers in Healthcare AI</h2><ul><li>Scalable insights: Can process millions of nodes and edges from large biomedical databases (e.g., DrugBank, PubChem, CTD).</li><li>Precision predictions: Outperforms traditional machine learning in link prediction for drug-disease associations.</li><li>Rapid validation: Integrates real-world clinical data for faster hypothesis testing.</li></ul><h2>VMO’s Role in AI-Driven Drug Discovery</h2>As part of our&nbsp;AI in Healthcare portfolio, VMO supports life sciences organizations in building&nbsp;end-to-end AI pipelines for drug repurposing:<ol><li>Data Engineering &amp; Integration <ul><li>Curating and cleaning heterogeneous biomedical datasets.</li><li>Building graph databases combining chemical, genomic, and clinical trial data. &nbsp;</li></ul></li><li>Model Development <ul><li>Designing and training&nbsp;custom GNN architectures tailored to drug discovery use cases.</li><li>Incorporating domain-specific features like molecular fingerprints, omics profiles, and clinical notes. &nbsp;</li></ul></li><li>Validation &amp; Deployment <ul><li>Integrating GNN predictions into existing&nbsp;R&amp;D workflows.</li><li>Deploying scalable AI services on secure, compliant cloud environments (HIPAA, GDPR, PDPA). &nbsp;</li></ul></li><li>Ongoing Optimization <ul><li>Model retraining with new biomedical data.</li><li>Continuous monitoring to ensure reproducibility and compliance with regulatory standards.</li></ul></li></ol><h2>Potential Impact</h2>With VMO’s expertise in&nbsp;AI model design, data pipelines, and healthcare compliance, pharmaceutical companies can:<ul><li>Reduce early-stage discovery costs by&nbsp;30–50%.</li><li>Shorten validation timelines from years to months.</li><li>Increase the success rate of drug repurposing candidates entering clinical trials.</li></ul><h2>Looking Ahead</h2>The convergence of&nbsp;graph learning and&nbsp;healthcare AI is transforming how we discover treatments. By enabling models to understand the complex “network of life,” GNNs unlock the potential of existing drugs in ways previously unimaginable.At&nbsp;VMO – an ALTEN Company, we help you harness AI for better, faster, and more affordable healthcare innovation.

Developing a new drug can take over a decade and cost billions of dollars. Drug repurposing - identifying new therapeutic uses for existing drugs - offers a faster, more cost-effective path. However, finding meaningful drug-disease associations requires analyzing massive biomedical datasets, integrating molecular structures, biological pathways, and clinical outcomes. Traditional methods struggle to capture the complex relationships between these data points.

Smarter Drug Repurposing with AI-Powered Graph Neural Networks

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By reading this article, you will gain valuable insights into the significant advantages of enlisting the expertise of a skilled SAP logistics consultant. It will provide a clear understanding of how such consultants can revolutionize logistics functions, leading to cost reduction, improved operational efficiency, and remarkable professional achievements.

SAP Logistics: Unlocking the Key Benefits, Strategies & Best Practices

This article explores the concepts of SAP logistics business processes and emphasizes the importance of logistics in supply chain optimization

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Salesforce, the leading global CRM provider, has introduced Einstein GPT, a groundbreaking generative AI CRM technology. This innovation revolutionizes customer experiences by seamlessly integrating AI-generated content across sales, service, marketing, commerce, and IT interactions, all at an unprecedented scale. By combining Salesforce's proprietary AI models with generative AI technology from a network of partners and real-time data from the Salesforce Data Cloud, Einstein GPT empowers customers to leverage OpenAI's advanced AI models effortlessly.&nbsp;With natural-language prompts embedded within Salesforce CRM, users can generate dynamic content that adapts in real-time to changing customer information and preferences. From personalized emails for sales representatives to prompt responses for customer service professionals and targeted content for marketers, Einstein GPT enables users to enhance their interactions and boost productivity. It even automates code generation for developers, streamlining the development process. Salesforce continues to push the boundaries of AI-driven customer engagement with Einstein GPT, delivering unparalleled value to businesses across industries.“Einstein GPT…is another way we are opening the door to the AI future for all our customers, and we’ll be integrating with OpenAI at launch.”&nbsp;said Marc Benioff, CEO of Salesforce.<figure class="image"><img src="https://vmo-website-prod.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1685613471959-2.jpg"></figure>Salesforce is seamlessly integrating OpenAI's ChatGPT technology with its own private AI models, resulting in the delivery of highly relevant and reliable AI-generated content. By combining forces, Salesforce aims to extend the reach of this powerful technology to a broader audience, enabling more individuals and businesses to benefit from its capabilities.&nbsp;Sam Altman, the CEO of OpenAI, expressed excitement about this collaboration, highlighting how it facilitates learning about real-world usage, a crucial factor in the responsible development and deployment of AI. Salesforce and OpenAI share a common belief in the responsible and ethical advancement of AI, making this integration a significant step forward in harnessing the power of AI within the CRM domain.<h3>What can do with Einstein GPT in CRM?</h3>Einstein GPT represents the evolutionary leap of Salesforce's existing AI technology, Einstein, which already empowers over 200 billion AI predictions daily within the Customer 360 ecosystem. With Einstein GPT, customers can now leverage the fusion of Salesforce's proprietary Einstein AI models with ChatGPT and other top-tier large language models. This integration enables users to employ natural-language prompts on their CRM data, unlocking a host of powerful and efficient automation while generating personalized, AI-generated content.<h4>Einstein GPT for Service:&nbsp;</h4><figure class="image"><img src="https://vmo-website-prod.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1685613683233-4.jpg"></figure>Automated Customer Service, powered by Salesforce Service Cloud, revolutionizes the customer service experience by leveraging artificial intelligence and automation. With features such as Einstein Bots and Service Cloud Voice, businesses can provide efficient and personalized support at scale. This solution enables companies to automate routine tasks, freeing up agents' time to focus on more complex customer inquiries.&nbsp;By harnessing AI-powered chatbots, businesses can deliver instant responses and resolutions, reducing wait times and increasing customer satisfaction. Additionally, Service Cloud Voice integrates voice channels into the customer service workflow, facilitating seamless interactions and enabling agents to provide real-time assistance. With Automated Customer Service, businesses can streamline their support processes, improve agent productivity, and deliver exceptional customer experiences.<h4>Einstein GPT for Sales:</h4><figure class="image"><img src="https://vmo-website-prod.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1685613785171-3.jpg"></figure>AI for Sales, offered by Salesforce, transforms the sales process by leveraging artificial intelligence to drive efficiency and effectiveness. With AI-powered tools such as Einstein Forecasting and Einstein Opportunity Scoring, sales teams can gain accurate insights into revenue projections and prioritize high-potential opportunities. The integration of AI into the sales workflow enables sales representatives to personalize interactions, deliver timely recommendations, and automate administrative tasks. By harnessing the power of AI, sales teams can improve forecasting accuracy, increase win rates, and enhance overall sales performance.<h4>Einstein GPT for Marketing:</h4><figure class="image"><img src="https://vmo-website-prod.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1685613836696-5.jpg"></figure>Salesforce's Marketing Cloud offers a comprehensive solution for driving customer engagement and delivering personalized experiences. With AI-powered tools like Einstein Engagement Scoring and Einstein Journey Insights, marketers can gain valuable insights into customer behavior and preferences. By leveraging data-driven intelligence, marketers can create targeted campaigns, optimize customer journeys, and deliver personalized content across multiple channels.&nbsp;The integration of AI technology enables marketers to automate tasks, improve segmentation, and enhance campaign performance. With Marketing Cloud's engagement capabilities, businesses can connect with their customers in a more meaningful and impactful way, driving customer loyalty and maximizing marketing ROI.<h4>Einstein GPT for Slack Customer 360 apps:</h4><figure class="image"><img src="https://vmo-website-prod.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1685613946881-6.jpg"></figure>Provide AI-driven customer insights within Slack, including intelligent summaries of sales opportunities and highlighting user actions such as knowledge article updates.<h4>Einstein GPT for Developers:</h4><figure class="image"><img src="https://vmo-website-prod.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1685614331169-7.jpg"></figure>A powerful tool that combines Salesforce's AI models with OpenAI's ChatGPT technology. By integrating natural language prompts, developers can generate code, automate tasks, and enhance productivity. The integration of Einstein GPT enables developers to create personalized, AI-generated content and streamline their development process. This technology empowers developers to leverage the capabilities of large language models and harness the power of AI within the Salesforce platform. With Einstein GPT, developers can revolutionize their workflows and deliver innovative solutions that drive business success.<h4>ChatGPT for Slack, built by OpenAI:</h4>A collaborative effort between Salesforce and OpenAI. This innovative app brings a range of AI-powered capabilities to Slack, including advanced conversation summaries, comprehensive research tools for acquiring knowledge on any subject, and efficient writing assistance for swiftly composing messages. Stay connected, informed, and productive with the ChatGPT for Slack.<h4>The customer perspective:&nbsp;</h4>From the viewpoint of customers such as HPE, L'Oréal, RBC US Wealth Management, and S&amp;P Global Ratings, the significance of generative AI in enhancing customer engagement is evident. These organizations attest to the value that generative AI brings to their interactions with customers, resulting in improved engagement and enriched experiences.<h3>Successful Cases.</h3><h4>Ford.</h4><figure class="image"><img src="https://vmo-website-prod.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1685615256488-8.jpg"></figure>Ford's customer experience transformation is highlighted, showcasing impressive results achieved through Salesforce's CRM solutions and Einstein GPT application. Ford successfully increased its customer satisfaction rating by 37% and improved its response time by 50% by implementing Salesforce Service Cloud. With Salesforce Marketing Cloud, Ford achieved a 60% increase in email open rates and a 40% improvement in click-through rates, enabling targeted and effective marketing campaigns. By leveraging Salesforce Commerce Cloud, Ford achieved a significant 71% increase in online vehicle configuration completions, enhancing the digital car-buying experience for customers. These remarkable numbers demonstrate the tangible impact of Ford's collaboration with Salesforce and Einstein GPT in reinventing its customer experience.<h4>L'Oréal.</h4><figure class="image"><img src="https://vmo-website-prod.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1685615265058-9.jpg"></figure>L'Oréal's innovative use of data to create unique beauty experiences with the help of Salesforce's CRM solutions and Einstein GPT. By leveraging Salesforce Marketing Cloud, L'Oréal achieved an impressive 49% increase in email open rates and a remarkable 45% improvement in click-through rates, enabling personalized and engaging marketing campaigns. Through the implementation of Salesforce Service Cloud, L'Oréal successfully reduced customer response time by 60% and improved its customer satisfaction rating by 40%. These outstanding numbers demonstrate the significant impact of L'Oréal's collaboration with Salesforce in delivering exceptional beauty experiences to their customers.<h3> In conclusion.</h3>Salesforce Einstein GPT is the transformative power in revolutionizing the way businesses interact with their customers. By combining Salesforce's AI models with OpenAI's cutting-edge technology, organizations can harness the full potential of generative AI to deliver personalized, relevant, and trusted content across various touchpoints. This groundbreaking collaboration empowers sales teams with automated content generation, customer service professionals with quicker response capabilities, marketers with targeted campaigns, and developers with code generation. With Salesforce Einstein GPT, organizations can leverage the power of AI to drive innovation, streamline operations, and forge deeper connections with their customers. &nbsp;

The article highlights the transformative power of Salesforce Einstein GPT in revolutionizing the way businesses interact with their customers. With Salesforce Einstein GPT, organizations can leverage the power of AI to drive innovation, streamline operations, and forge deeper connections with their customers.

Salesforce Einstein GPT - The Door to The AI Future Of CRM

The article highlights the transformative power of Salesforce Einstein GPT in revolutionizing the way businesses interact with their customers.

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In today's fiercely competitive travel and hospitality industry, providing exceptional customer experiences is paramount. This is where Salesforce Travel and Hospitality steps in, offering a comprehensive suite of solutions tailored to meet the dynamic needs of enterprises in this sector. Let's delve into the transformative capabilities of Salesforce and how it has revolutionized operations for some of the industry's leading players.<h3 style="margin-left:0px;">Service Overview:&nbsp;</h3>Salesforce Travel and Hospitality is a dynamic platform designed to enhance every facet of your enterprise. From streamlining guest interactions to leveraging data-driven insights for strategic decision-making, Salesforce offers a multifaceted approach to meet the unique challenges faced by travel and hospitality businesses.<h3 style="margin-left:0px;">Unique Selling Points (USPs).</h3><h4 style="margin-left:0px;">Elevating Customer Engagement:&nbsp;</h4>Salesforce Travel and Hospitality redefines customer engagement, placing personalization at its core. By harnessing the power of Artificial Intelligence (AI) and predictive analytics, businesses can deliver tailored experiences that resonate with travelers. From customized offers to timely recommendations, every interaction becomes a seamless blend of technology and human touch.One of the standout features of Salesforce is its ability to foster unparalleled customer engagement. Consider the example of Marriott International, a global hospitality giant. By integrating Salesforce into their operations, Marriott was able to create personalized experiences for guests, resulting in a 10% increase in customer satisfaction scores.<figure class="image"><img src="https://vmo-website-prod.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1695202202412-Salesforce%20Travel%20and%20Hospitality_Marriot.jpg" alt="Salesforce Travel and Hospitality"></figure><h4 style="margin-left:0px;">Data-Driven Decision-Making:&nbsp;</h4>In the era of Big Data, extracting actionable insights is paramount. Salesforce Travel and Hospitality empowers businesses with robust analytics tools, allowing them to delve deep into customer behavior patterns, preferences, and market trends. These valuable insights serve as a compass, guiding businesses toward strategies that resonate with their target audience.Salesforce's robust analytics capabilities empower enterprises to make informed decisions based on data-driven insights. For instance, Delta Air Lines utilized Salesforce to analyze customer data, leading to a 70% increase in revenue from personalized offers.<figure class="image"><img src="https://vmo-website-prod.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1695202400755-Salesforce%20Travel%20and%20Hospitality_Delta%20Airlines.jpg" alt="Salesforce Travel and Hospitality"></figure><h4 style="margin-left:0px;">Unified Platform for Enhanced Efficiency:&nbsp;</h4>Salesforce seamlessly integrates with existing systems, eradicating silos and ensuring a unified approach to operations. From customer relationship management to marketing automation and workflow optimization, this platform streamlines processes, resulting in increased efficiency and productivity.An illustrative case is Virgin Atlantic, which integrated Salesforce to centralize customer data. This enabled Virgin Atlantic to deliver tailored offers and services, resulting in a 20% increase in customer engagement.<figure class="image"><img src="https://vmo-website-prod.s3.ap-southeast-1.amazonaws.com/vmogroup-global/uploads/1695202497104-Salesforce%20Travel%20and%20Hospitality_Virgin%20Atlantics.jpg"></figure><h4 style="margin-left:0px;">Empowering Marketing and Sales Teams:&nbsp;</h4>Salesforce Travel and Hospitality equips marketing and sales teams with powerful tools to target the right audience with the right message at the right time. Through lead management, email marketing automation, and AI-powered predictive analytics, businesses can significantly enhance conversion rates and revenue generation.<h3 style="margin-left:0px;">Conclusion:&nbsp;</h3>Salesforce Travel and Hospitality transcends being a platform; it's a catalyst for reimagining the travel and hospitality industry. By embracing this innovative solution, businesses open doors to unprecedented levels of customer satisfaction, operational excellence, and revenue growth. Join the ranks of industry leaders who have harnessed the power of Salesforce and embark on a journey toward a brighter future in travel and hospitality.The travel industry is dynamic and filled with challenges. What hurdles have you encountered, and how do you envision Salesforce addressing them? Share your thoughts below, and let's embark on a discussion to pave the way for enhanced success.

Explore the transformative capabilities of Salesforce Travel & Hospitality, a game-changing solution for businesses in the travel and hospitality industry. Discover how it revolutionizes customer engagement, enables data-driven strategies, and streamlines operations. Join us in redefining success in the dynamic world of travel and hospitality.

Salesforce Travel&Hospitality: A Paradigm Shift in Customer Engagement

Ready to witness the transformation? Dive into our dedicated blog to explore Salesforce Travel & Hospitality in action

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<ul><li>Participate in outsourced projects for clients in the Japanese market.</li><li>Act as a bridge between Japanese clients and the offshore project team in Vietnam.</li><li>Work directly with Japanese clients: communicate, negotiate, receive, and analyze software project requirements, then convey them to the project team in Vietnam.</li><li>Plan, monitor progress, and manage the onsite team.</li><li>Perform other tasks as assigned.</li></ul>

Bridge System Engineer (Japan) - DJP

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<ul><li>Design and implement CI/CD pipelines for various software applications and environments.</li><li>Have experience with network architect design.</li><li>Have experience with system architect design.</li><li>Automate software deployment, configuration, and maintenance processes.</li><li>Manage and optimize cloud infrastructure (e.g., AWS, Azure, GCP).</li><li>Develop and maintain monitoring systems to guarantee high availability and performance for applications.</li><li>Troubleshoot infrastructure issues and collaborate with the team to resolve them.</li><li>Stay up-to-date on emerging DevOps technologies and best practices.</li><li>Document processes and procedures for clear communication and knowledge transfer.</li><li>Clearly communicate technical concepts and solutions to both technical and non-technical audiences (excellent English communication skills are a must).</li></ul>

DevOps Engineer - DU33

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<ul><li>Application Development and Maintenance: Use Java and Spring Boot to develop and maintain high-performance web applications and microservices, ensuring high availability and responsiveness.</li><li>Performance Optimization: Analyze and optimize application performance to minimize latency and maximize resource efficiency.</li><li>Software Quality Assurance: Write and maintain test suites, conduct code reviews, and ensure adherence to software development standards.</li><li>Team Collaboration and Technical Leadership: Work with team members, mentor junior developers, and coordinate with other departments such as DevOps, QA, and Product Management.</li><li>&nbsp;Knowing how to design System Architecture is a plus.</li></ul>&nbsp;

TechLead Java (Japan) - DJP

techlead-java-japan-djp

<ul><li>Participate in the outsourcing project for clients in the Japanese market.</li><li>Act as a bridge between Japanese clients and the offshore project team in Vietnam.</li><li>Provide consultancy to clients and guide the project team.</li><li>Work directly with Japanese clients: communicate, negotiate, receive, and analyze software project requirements, then convey them to the project team in Vietnam.</li><li>Plan, track progress, manage the team, etc.</li><li>The current project is related to the insurance sector, collaborating with several multinational teams.</li></ul>

PRODUCT OWNER (ENGLISH + JAPANESE) - DU16

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<ul><li>Sourcing potential new customers in Japanese markets</li><li>Sell and meet sales target</li><li>Acting as a bridge between the customer and the project team</li><li>Bidding, negotiating and negotiating contracts, ensuring set KPI</li><li>Supporting customer during project implementation</li><li>Manage the contract</li><li>Get more in-depth training on information technology knowledge</li></ul>

IT SALE EXECUTIVE

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<ul><li>Participate in software development testing projects, especially those targeting the Japanese market.</li><li>Analyze requirements and develop detailed test plans, test cases, and test scenarios.</li><li>Execute various types of testing such as functional, regression, integration, API, and database testing according to the plan.</li><li>Identify, report, track, and verify bugs in the system.</li><li>Collaborate closely with Developers, BAs, PMs, and clients to ensure product quality.</li><li>Participate in document reviews and contribute ideas for improving the testing process.</li></ul>

Manual Tester (JP/EN) - DU16

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<ul><li>Analyze product/project requirements and design specifications.</li><li>Develop test plans, test cases, and prepare test data.</li><li>Execute testing for software products or projects, collaborating with other teams and departments to ensure overall quality.</li><li>Monitor and support quality control and process evaluation throughout the software development lifecycle.</li><li>Evaluate product quality before official release.</li><li>Manage and lead a testing team.</li><li>Perform other tasks as assigned by direct management.</li></ul>

Test Leader (Japanese) - DU16

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<ul><li>Engaging directly in outsourced projects for the diverse global market across various industries.</li><li>Analyzing the characteristics of products and projects, and implementing customer requirements.</li><li>Researching, designing, programming, and developing solutions for products.</li><li>Performing other tasks and assignments as directed by the immediate supervisor.</li></ul>

.Net Developer -  DU16

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<ul><li>Work with PM/PO/Techlead research services , business</li><li>Generate cross customer, product and country insights through collecting, parsing, managing, analyzing and visualizing large data sets</li><li>Support multiple product and project streams, along with varying resources, across the team to ensure on time and quality delivery of all solutions</li><li>Work with clients or Business Development Team to achieve external analytics goals and provide stickiness with the clients</li><li>Drive the team forward to solve new problems using additional Data Science and Analytics methodologies and concepts&nbsp;</li><li>Issue Resolution: Oversee and promptly address issues reported on various platforms, ensuring efficient problem resolution.</li><li>Seamless Integration: Collaborate with vendors to address integration challenges, fostering seamless system operation and reliability across systems used in the company.</li><li>Stakeholder Collaboration: Collaborate with stakeholders to enhance systems processes, ensuring alignment with overall business objectives.</li><li>Data Analysis: In-Depth Performance Analysis: Analyze performance trends for sharing insights during company-wide meetings.</li><li>Predictive Sales Analysis: Utilize predictive analysis techniques to forecast sales.</li><li>Business Development Support through Data Analysis: Use data analysis to comprehend market trends and inform business development initiatives.</li></ul>

PYTHON DEVELOPER (AI/DATA ENGINEER)

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<ul><li>Develop comprehensive test plans, test cases, and test scripts for Fintech applications and systems.</li><li>Analyze requirements and translate them into testable scenarios. Consider security, performance, and regulatory compliance aspects in test planning.</li><li>Test Execution: Execute manual and automated tests on various platforms (web, mobile, etc.). Perform functional, regression, performance, and security testing.</li><li>&nbsp;Identify and document defects, providing detailed information for developers to resolve.</li><li>Collaboration and Communication: Work closely with development, product, and business teams to ensure quality standards are met. Participate in sprint planning and daily stand-ups.</li><li>&nbsp;Communicate test results and issues effectively. Tools and Technologies: Familiarity with testing tools and frameworks (e.g., Selenium, JUnit, Appium).</li><li>Experience with ticket tracking systems (e.g., Jira). Experience with API Test software (e.g., Postman, Newman) Knowledge of SQL or other database technologies for data validation.</li><li>Specific Fintech Context: Understanding of financial concepts and terminology.</li><li>Experience with testing financial transactions, payment systems, and regulatory compliance. Awareness of the importance of trust and security in Fintech applications.</li></ul>&nbsp;

Automation Tester - DU33

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<ul><li>Participate in outsourcing projects for Japanese market clients.</li><li>Act as a bridge between Japanese clients and the offshore project team in Vietnam.</li><li>Prepare project documentation (the project domain is Insurance).</li><li>Work directly with Japanese clients: communicate, negotiate, gather and analyze software project requirements, and convey them to the team in Vietnam.</li><li>Plan, track progress, and manage the team.</li></ul>

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