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  • Re-defined Service Business Model for Global Elevator Manufacturer

    How IoT-driven analytics and proactive asset management enabled an industry leader to reduce downtime by up to 20% and trim service costs.

    For global manufacturers, traditional maintenance frameworks are rapidly giving way to connected, intelligent service ecosystems. Relying on manual inspections or reactive maintenance inflates operational expenses, reduces technician output, and weakens customer trust. To maintain competitive market differentiation, executive leaders must pivot toward real-time asset visibility and automated diagnostics.

    Key Operational & Strategic Highlights :

    • Scalable Infrastructure: Deployed an enterprise monitoring platform handling over 30,000 connected units seamlessly.
    • Downtime Optimization: Reduced equipment downtime by 10% to 20% using predictive maintenance insights.
    • Cost Efficiency: Saved 10% in operational costs by curbing redundant field service dispatch calls.
    • Technician Empowerment: Enhanced technician field productivity with automated, real-time diagnostic tools.
    • Service Reliability: Drastically minimized user callbacks through proactive issue detection and resolution.
    • Customer Experience: Integrated next-gen features including touchless controls and real-time passenger interaction.

    This modernization replaced legacy workflows with agile DevOps practices, next-gen safety solutions, and faster release cycles. The business result is a highly resilient, cost-effective service ecosystem that improves asset uptime, maximizes field force efficiency, and unlocks new, recurring value streams.

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    NC and Creatives MFG ABM – Phase IV – July 2026 – 123-29july-Re-defined Service Business Model for Global Elevator Manufacturer

    © 2026 LTM Limited

  • Reimagining Industrial Manufacturing for the Digital Era

    Reimagining Industrial Manufacturing for the Digital Era

    Today’s industrial manufacturing leaders face an unprecedented landscape marked by geopolitical supply disruptions, shifting customer expectations, and pressure to compress operational costs. To maintain a competitive edge, C-suite executives must move beyond legacy systems and transition toward connected, data-driven smart factories. LTM empowers global enterprises to execute this shift by harmonizing enterprise IT, IoT, and AI-driven predictive capabilities into a unified operational framework.

    Key Strategic Value Drivers :

    • Predictive Asset Optimization: Utilize IoT and AI to forecast equipment failures before downtime impacts your bottom line.
    • Enhanced OEE & Throughput: Connect sensors, software, and shop-floor assets to accelerate cycle times and maximize yield.
    • Digital Twin Integration: Model complex factory processes in real time to uncover hidden cost efficiencies and elevate quality.
    • Aftermarket & Servitization: Pivot from traditional product sales to high-margin As-a-Service models that capture lifetime customer value.
    • Sustainable Manufacturing: Reduce energy consumption and carbon emissions across production environments through smart monitoring.

    Through proven, domain-led implementations, LTM partners with executive teams to deliver measurable financial and operational outcomes. Whether reducing asset downtime, lowering carbon footprints, or improving inventory turnarounds, our end-to-end solutions turn complex manufacturing ecosystems into agile, resilient growth engines. The decisions you make today will define your organization’s agility, OEE, and profitability for the next decade. Partner with LTM to unlock your shop floor’s full potential, de-risk your supply chain, and build a resilient digital foundation designed for long-term value.

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    NC and Creatives MFG ABM – Phase IV – July 2026 – 123-29july-Reimagining Industrial Manufacturing for the Digital Era

  • Generative AI in Security Operations

    Generative AI in Security Operations

    Cyberattacks are getting faster, smarter, and more complex – outpacing traditional defenses. At the same time, SOC teams face staffing shortages, alert fatigue, and pressure to respond in minutes, not days.

    That’s where Generative AI (GenAI) comes in.

    Our new white paper, Generative AI in Security Operations, explores how SecOps teams can harness GenAI to strengthen defenses, improve efficiency, and stay ahead of evolving threats. You’ll discover how GenAI helps organizations:

    • Reduce false positives in threat detection by up to 30% by 2027
    • Automate investigations and accelerate response with natural language interaction
    • Address staffing shortages by augmenting analysts with AI-driven insights
    • Simplify complex threat investigations with automated correlation and reporting
    • Cut mean time to detect (MTTD) and respond (MTTR) for stronger resilience

    With ransomware activity 13x higher in 2023 compared to the start of the year, it’s clear that AI-driven defenses aren’t optional-they’re essential.

    See how Generative AI can help your SOC fight smarter, reduce burnout, and maximize existing investments.

    Download Now

    US FORTINET (Q3 and Q4) – Generative AI in Security Operations

  • Built-in AI Assistance Streamlines Visibility and Improves Threat Response in Fortinet FortiAnalyzer

    Built-in AI Assistance Streamlines Visibility and Improves Threat Response in Fortinet FortiAnalyzer

    Security teams today face overwhelming alert volumes, expanding attack surfaces, and growing pressure to respond faster. Fortinet FortiAnalyzer brings AI-driven automation and unified visibility to simplify and strengthen operations. It centralizes log management, analytics, and threat correlation across the Fortinet Security Fabric – helping you detect, investigate, and respond to threats in real time.

    With built-in AI assistance from FortiAI, FortiAnalyzer delivers context-aware threat insights, automated remediation, and intuitive natural-language interaction – educing complexity and closing skill gaps. Preloaded playbooks, correlation rules, and visualization dashboards accelerate investigations and improve detection accuracy.

    By consolidating data, automating workflows, and enabling AI-powered decision-making, FortiAnalyzer helps security teams cut through alert noise, reduce response times, and strengthen their organization’s overall security posture.

    Download Now

    US FORTINET (Q3 and Q4) – Built-in AI Assistance Streamlines Visibility and Improves Threat Response

  • 11 Tips for Implementing GenAI into Security Operations

    11 Tips for Implementing GenAI into Security Operations

    Generative AI (GenAI) is transforming cybersecurity – but implementing it without the right strategy can create new risks. To help, we’ve created a practical checklist: 11 Tips for Implementing GenAI into Security Operations.

    This step-by-step guide shows you how to:

    • Identify and document GenAI use cases while mitigating risks
    • Manage AI data securely to ensure privacy and compliance
    • Integrate GenAI into existing SecOps workflows and tools
    • Automate routine tasks and enhance threat investigations
    • Maintain transparency, accountability, and ethical AI use

    With the right approach, GenAI can reduce complexity, close the cybersecurity skills gap, and dramatically boost efficiency in your security operations.

    Equip your SecOps team with the insights needed to safely harness the power of GenAI.

    Download Now

    US FORTINET (Q3 and Q4) – 11 Tips for Implementing GenAI into Security Operations

  • The Growth Moment Playbook

    The Growth Moment Playbook

    Growth brings opportunity – but it also introduces new operational challenges. Whether demand surges overnight, retail channels expand, or customer expectations rise, brands need fulfillment strategies that can adapt without compromising the customer experience.

    Scalable fulfillment is more than moving orders efficiently. It requires the flexibility to support multiple sales channels, maintain inventory visibility, and deliver consistent brand experiences as complexity grows.

    In this playbook, you’ll discover how to:

    • Compare glass-to-metal and ceramic-to-metal sealing technologies
    • Improve implant reliability and long-term hermetic performance
    • Enable miniaturization without compromising functionality
    • Build a fulfillment strategy that supports long-term growth

    Learn how leading brands turn fulfillment into a competitive advantage as they scale.

    Download Now

    45322862 – U.S GXO U.S Direct Endemic CY 2026 Q2-Q3 CY 2026 Q2 (00403450) – 105.2

  • Endpoint Security Buyer’s Guide for the AI Era

    Endpoint Security Buyer’s Guide for the AI Era

    Ask your endpoint vendor one question:

    How many agents does it take to deliver endpoint protection, vulnerability scanning, zero-trust access, and device posture checks?

    The answer tends to expose the gap between a platform that is genuinely consolidated and one that is bundled. Most organizations are running three to five agents (AV/EPP, EDR, VPN, ZTNA, DLP) across every device, sometimes from the same vendor, and paying for it in disjointed consoles, inconsistent visibility, performance drag on end users, and stacked licensing costs.

    Meanwhile, AI adoption and hybrid work keep expanding the attack surface faster than fragmented tooling can cover it.

    The Endpoint Security Buyer’s Guide for the AI Era gives you a clear framework for evaluating what comes next.

    Inside:

    • The five criteria that separate real consolidation from marketing claims, covering agent efficacy, zero-trust access, attack surface reduction, operational resilience, and true total cost of ownership.
    • Plus, the eight questions to put to any vendor and why each one matters,
    • The four pitfalls that derail endpoint consolidation projects, and the capability checklist for one agent, one console, one license.

    Fill out the form to download the guide.

    Download Now

    US FORTINET (Q3 and Q4) – Endpoint Security Buyer’s Guide for the AI Era

  • Future-Ready Enterprise Transformation with S/4HANA Greenfield

    Architecting a Resilient Energy Future: How SAP S/4HANA Unlocks 30% Operational Cost Savings for LNG Enterprises

    In an era of relentless market volatility and shifting global energy demands, Liquefied Natural Gas (LNG) leaders must balance operational excellence with aggressive cost optimization. Legacy ERP systems, fragmented supply chains, and siloed data architectures restrict real-time decision-making, inflating overhead and slowing time-to-market. Modernizing core enterprise systems is no longer just an IT upgrade; it is a critical strategic imperative to protect margins, build operational agility, and maintain market leadership.

    Key Strategic Value Highlights :

    • Unified Digital Core: Replaced fragmented systems with a single SAP S/4HANA architecture across capital projects, logistics, and corporate management.
    • Real-Time Financial Visibility: Compressed monthly financial closing timelines, providing executives with instantaneous margin and cash-flow intelligence.
    • Optimized Energy Supply Chains: Enhanced tracking and forecasting across the LNG value chain to mitigate downtime and logistics bottlenecks.
    • Intelligent Asset & Maintenance Management: Maximized equipment availability and minimized unscheduled outages across critical operational infrastructure.
    • Scalable Enterprise Foundation: Established a future-ready digital backbone built to support autonomous AI operations, energy transition, and compliance goals.

    Ready to see how these results can be replicated across your enterprise operations? Dive into the full, detailed case study to examine our step-by-step SAP S/4HANA implementation methodology, technical architecture blueprints, and change management strategies tailored specifically for high-stakes energy assets. Click Know More below to explore the complete transformation roadmap and access actionable insights for your digital transformation journey.

    KNOW MORE

    ABM_Campaign_National Gas Transmission and Southern Water – 123-24july-Future-Ready Enterprise Transformation with S/4HANA Greenfield:

    © 2026 LTM Limited

  • Outcreating AI-Driven Enterprise Service Operations

    Outcreating AI-Driven Enterprise Service Operations: Modernizing ServiceNow for Scalable Operational Velocity

    Enterprise growth, expanding global footprints, and increasing digital reliance exert significant pressure on legacy IT and business service operations. For modern C-suite leaders, technical debt and complex workflows are no longer just administrative issues—they act as direct obstacles to operational speed, employee productivity, and enterprise growth. By embedding AI capabilities directly into core ServiceNow ITSM workflows, organizations can transition from reactive incident management to an intelligent, automated service ecosystem.

    Key Executive Takeaways :

    • Faster Resolution Times: AI-powered incident triage and contextual summaries significantly accelerate end-to-end service delivery.
    • Reduction in Manual Effort: Automated documentation, change planning summaries, and incident routing eliminate administrative overhead.
    • Up to 30% Boost in Agent Productivity: Intelligent decision support and contextual recommendations allow existing teams to scale seamlessly with rising volumes.
    • Seamless Legacy Modernization: AI capabilities are integrated directly into daily workflows without disrupting underlying governance or operational structures.

    To capture these efficiency gains and maintain market leadership, executive decision-makers must evaluate how their current platform architecture supports long-term AI integration. Exploring the complete transformation methodology provides direct visibility into how peer organizations have bypassed legacy platform constraints, eliminated operational drag, and achieved rapid return on investment. Taking the next step unlocks deeper architectural insights, execution blueprints, and tailored benchmarks designed to accelerate your organization’s service modernization roadmap.

    LEARN MORE

    ABM_Campaign_National Gas Transmission and Southern Water – 123-24july-Outcreating AI-Driven Enterprise Service Operations

    © 2026 LTM Limited

  • The Involuntary Churn Playbook

    The Involuntary Churn Playbook

    Failed payments are one of the biggest hidden causes of revenue loss for subscription businesses. Many customers don’t intend to cancel -their payments simply fail due to issuer declines, outdated payment details, or evolving payment ecosystem challenges.

    Recovering these transactions requires more than standard retry schedules. Intelligent, AI-powered payment recovery can improve authorization rates, reduce involuntary churn, and help subscription businesses retain more customers while maximizing recurring revenue.

    In this playbook, you’ll discover how to:

    • Reduce involuntary churn caused by failed recurring payments
    • Improve payment recovery with AI-powered decisioning
    • Optimize payment recovery while reducing unnecessary retries
    • Optimize payment recovery while reducing unnecessary retries

    Learn how smarter payment recovery can turn failed transactions into long-term revenue growth.

    Download Now

    45531177 – EMEA Amdocs Vindicia CY 026 Q3 (115887) – 105.2