Introducing LPS AIOps – the next big leap forward in AI-driven IT operations management. AIOps is the latest evolution of our industry leading managed services suite, designed to leverage the power of the latest AI tools to deliver leading edge end-to-end IT services to our clients across the Asia Pacific region. Designed to enhance service reliability, speed up issue resolution, and boost efficiency, our offerings tailor to all industries and span the entire technology stack.
Dynamic Asset Discovery:
Discover and map all digital assets automatically to maintain an up-to-date view of your environment to gain full visibility.
Cognitive Observability Enhancement:
Utilize AI-driven tools to detect, identify, and predict issues to protect your business and minimize impacts.
Intelligent Automated Remediation:
Event-driven remediation and preset policies automatically handle incidents as they occur and accelerate recovery.
Key Benefits
LPS can jumpstart your AI adoption no matter where you are in your AI journey and infrastructure, allowing you to reap the powerful benefits of AI accessibly and at scale. With two decades of experience in infrastructure implementation and managed services, our specialists are here to provide best-of-breed IT Operations Management (ITOM) processes and methodologies to elevate your operations.
Improve Service Reliability
Reduce downtime and strengthen operations to ensure 24/7 reliability.
Speed Up Resolution
Leverage agile AI solutions to accelerate issue resolution and mitigate incident impacts.
Prevent Incidents
Proactively prevent potential incidents before they occur.
Boost Efficiency
Secure an edge in operational efficiency and streamline your business processes.
Faster AI Adoption
Begin with your most critical applications and expand as needed for seamless AI integration.
Specialist Support
Unlock expert guidance through every step from—assessment, to implementation, to maintenance.
Intelligent Discovery
Identify, map, and analyze IT infrastructure, applications, and dependencies seamlessly across on-premises, cloud, and edge environments.
Dynamic Service Models
Real-time infrastructure models that unify data sources, update automatically, and enhance proactive monitoring and operational efficiency.
Anomaly Detection:
Identify unusual patterns or behaviors in IT systems to detect potential issues before they escalate.
Noise Reduction:
Filter out irrelevant or redundant alerts to reduce alert fatigue and improve response times.
Root Cause Isolation:
Pinpoint the true underlying causes of an issue by analyzing patterns and correlations in data.
Predictive Risk Identification:
Forecast potential IT issues before they occur to prevent outages and optimize system performance.
Event-Driven Remediation:
Automatically detect and resolve issues by responding to specific triggers or events.
Policy-Based Automation:
Leverage predefined rules to address recurring issues and sustain stable operational processes for efficient IT management.
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