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Adopt AI for autonomous IT operations

Overview

Infosys Semiconductor practice delivers integrated AIOps services for seamless IT operations. Our team leverages AIOps tools to analyze datasets from logs, servers and networks data at global design houses and foundries. We simplify the IT landscape by implementing AI, ML and robotic process automation for software development and application lifecycle services. Further, smart automation of DevOps processes and microservices architecture accelerate development cycles and strengthen CI/CD pipelines.

Infosys experts combine AIOps platform deployment experience (open source and COTS) with expertise in virtualization for stable IT operations. Our team enhances automation solutions with FinOps capabilities, which optimizes cloud investments and offers real-time visibility into service KPIs. We establish a 24/7 Service Desk for demand management, emergency response and prompt resolution of operational issues. Notably, our structured managed services for ITOps enhances the service experience and facilitates scaling up of AIOps at semiconductor enterprises.

Our AIOps frameworks analyze events, diagnose the root cause of IT incidents, and provide insights for proactive IT service management. ML-enabled anomaly detection tools offer IT service intelligence, which reduces mean time to detect (MTTD) issues. AI-powered incident management solutions accelerate mean time to restore (MTTR) by identifying, assessing and addressing IT incidents autonomously. In addition, AIOps platforms offer a single pane view of operations data and enable visualization of IT functions. Real-time visibility streamlines event management, while supporting application and system optimization. Significantly, cloud AIOps platforms automatically analyze alerts, enabling IT teams to prioritize alerts requiring human intervention.

We focus on operational requirements and interoperability, which boosts adaptability of AIOps solutions in the existing technology stack and IT processes.

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Infrastructure services

  • Performance optimization
  • IT operations and maintenance
  • Technology and infrastructure consolidation
  • Governance, risk and compliance

Application and data services

  • Application portfolio rationalization
  • Application modernization and development
  • Cross-domain data ingestion
  • Data aggregation and analytics

Managed services

  • Digital experience and user interface design
  • Issue resolution and incident management
  • AMS and L1, L2 and L3 support
  • IT systems integration and performance monitoring

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Challenges & Solutions

Integration of AIOps tools with workflows helps define and measure business value from IT investments.

Topology-based correlation of events and pattern recognition helps detect lead indicators and preempt incidents.

Cognitive automation of IT operations supports AI-first business models by enhancing enterprise agility and maximizing system uptime.

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