NextGen AI-Infused IT Operations Model: Revolutionizing Application Maintenance for Modern Enterprises

The complexity of today’s IT landscape, driven by advancements in generative AI, IoT, cloud computing, and data analytics, necessitates a transformative approach to IT operations, Infra and application maintenance. The NextGen AI-Infused IT Operations Model reimagines traditional practices by embedding AI, automation, and resilience engineering principles into IT workflows. This model emphasizes proactive issue detection, predictive maintenance, self-healing systems, and collaborative, cross-functional support squads. By leveraging cutting-edge technologies such as GenAI, AI-powered observability, cloud-native solutions, and integrated monitoring, organizations can optimize performance, enhance system reliability, stability, and reduce downtime. Key roles like Site Reliability Engineers (SREs), AIOps Engineers, and Automation Engineers form the backbone of this framework, ensuring seamless collaboration between development, infrastructure, and support teams. The phased adoption of this model includes Organization alignment and talent refresh, defining target operating models, integrating automation platforms, and implementing self-service and self-healing capabilities. This shift promotes a cultural transformation, prioritizing agility, efficiency, and scalability. Businesses adopting this approach can meet evolving user expectations, and align IT operations with strategic objectives, achieving unparalleled operational resilience, stability and Operational cost optimization.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/incet64471.2025.11140252
Primary Topic
Big Data and Business Intelligence
Type
article
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article

NextGen AI-Infused IT Operations Model: Revolutionizing Application Maintenance for Modern Enterprises

Keshava Kallur
Big Data and Business Intelligence
article

NextGen AI-Infused IT Operations Model: Revolutionizing Application Maintenance for Modern Enterprises

Keshava Kallur
article en

Abstract

The complexity of today’s IT landscape, driven by advancements in generative AI, IoT, cloud computing, and data analytics, necessitates a transformative approach to IT operations, Infra and application maintenance. The NextGen AI-Infused IT Operations Model reimagines traditional practices by embedding AI, automation, and resilience engineering principles into IT workflows. This model emphasizes proactive issue detection, predictive maintenance, self-healing systems, and collaborative, cross-functional support squads. By leveraging cutting-edge technologies such as GenAI, AI-powered observability, cloud-native solutions, and integrated monitoring, organizations can optimize performance, enhance system reliability, stability, and reduce downtime. Key roles like Site Reliability Engineers (SREs), AIOps Engineers, and Automation Engineers form the backbone of this framework, ensuring seamless collaboration between development, infrastructure, and support teams. The phased adoption of this model includes Organization alignment and talent refresh, defining target operating models, integrating automation platforms, and implementing self-service and self-healing capabilities. This shift promotes a cultural transformation, prioritizing agility, efficiency, and scalability. Businesses adopting this approach can meet evolving user expectations, and align IT operations with strategic objectives, achieving unparalleled operational resilience, stability and Operational cost optimization.

IBM (United States) (US)
Openalex Percentile: Top 61%
Big Data and Business Intelligence
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NextGen AI-Infused IT Operations Model: Revolutionizing Application Maintenance for Modern Enterprises — Keshava Kallur · (2025) | TGRS Research Map | TGRS