AIOps is being used to address the challenges of modern infrastructure management
International Data Corporation analyses how AIOps is no more an afterthought. Indian organizations are now turning to AIOps to help them efficiently manage infra operations by abstracting away the underlying complexity while simultaneously focusing on delivering business outcomes to enhance their strategic decision-making processes.
AIOps refers to the application of artificial intelligence/machine learning (AI/ML) and big data analytics to address the challenges of modern infrastructure management in an intelligent and highly automated manner. While the traditional infrastructure ecosystem supported numerous software, hardware, and data services innovations, the adoption of new technologies has resulted in issues such as location limitation, maintenance, and operational complexity due to their increasingly complex IT architecture. In this context, AIOps is being used to address the challenges of modern infrastructure management in an intelligent and highly automated manner.
Enterprises in India are increasingly leveraging AIOps to move from a reactive to a proactive operations management stance for greater organizational resilience. Most leading organizations are leveraging advanced AI technologies either in-house or through managed service providers. AIOps will become the new normal for ITOps, with at least 40 per centa of large enterprises adopting AIOps solutions to automate major IT system and service management processes by 2025.
Organizations look to improve trust and transparency levels by adopting AIOps solutions from individual managed tasks, such as troubleshooting, event correlation, and anomaly detection, to resolution, remediation, closed-loop incident detection, resource orchestration, and predictive fault identification.
“The Indian market is witnessing considerable growth in digital services. IT organizations will quickly adopt AIOps solutions to cope with the rising scale and complexity of IT infrastructure, and to meet the end-user needs of reliability and performance. Organizations will apply contextualized data to create more precise, tangible estimates about the impact of an incident and do not view AIOps as an eliminator of IT roles. Instead, it will be used for improving agility, greater collaboration, and better learning,” says Shouvik Nag, Senior Market Analyst, Digital Transformation practices, IDC India.
According to the IDC report, some of the key reasons for adopting AIOps include:
- Unprecedented infrastructure complexity – Aggregate operations data from multiple IT infrastructure components, applications, and performance-monitoring tools.
- Need for resilience & Observability – Eliminate the ‘noise’ by identifying patterns and events related to system performance and availability issues.
- Predictive IT metrics leading to business outcomes – Diagnose root causes and report them to IT for rapid response and remediation and in some cases, automatically resolve them without human intervention.