In today’s digital world, businesses are actively expanding their IT infrastructure and deploying digital solutions to stay competitive. This drastic upsurge has positioned IT departments as fundamental assets to success. It’s also led to IT services and operations management becoming more complex to match the rapid progression. Due to data silos and disparate tools with no proper integration, IT teams are finding themselves monitoring the health of IT infrastructure to achieve better operational efficacy, while also experiencing higher response times to track, identify and fix these issues.
To solve this problem, ServiceNow innovated a Predictive AIOps solution which is a proactive approach to foresee, detect, and resolve issues before they occur to ensure continuous service without outages.
How ServiceNow Predictive AIOps Improves IT Operations Efficiency
The ServiceNow Predictive AIOps solution automates the entire process of anticipating issues, calculating the impact of the issue, impeding the impact of the issue, and resolving the issue with appropriate resolution. It supersedes a series of events with automation and sends timely alerts and actionable insights to help IT teams discover and solve issues before any damage can occur.
ServiceNow states that with AIOps, “a 67% reduction in P1 and P2 incidents, saving hundreds of hours of employee productivity.”
Detect Risks Intelligently
ServiceNow offers full-stack security operations and risk handling capabilities. The Predictive AIOps enables businesses to define metrics based on which the machine learning (ML) algorithms categorizes the risks. It then monitors and analyzes various logs to identify the normal operational behavioural patterns of risks to distinguish any deviation in the behaviour of applications or services.
This process compares logs through distinct resources, investigates to detect deviations in operations, and sends out an alert regarding the configuration item. Being artificial intelligence operations (AIOps) driven platform, Predictive AIOps supports unsupervised learning to automatically analyze and uncover complicated patterns with no human involvement.
Obtain Deep Insights with Robust Analytics
ServiceNow offers strong analytical abilities that are backed by ML algorithms, providing IT teams detailed visualizations into the overall health of IT, anomalies, events and more.
The Predictive AIOps accumulates metrics data from the ServiceNow Agent Client Collector and other tools that are installed to perform monitoring checks before analyzing the data. The data analyzed is assigned a score based on the probability of an issue resulting in a service outage. Using heat maps, Predictive AIOps helps IT teams to visualize, analyze and consolidate data. This further increases the visibility into software assets and provides an ease to strategically improve software asset management.
Handle Risks Due to Infrastructure Upscaling
With an immensely growing infrastructure, most IT departments find it complicated to discover the impact of constant changes on various business applications and services. The ServiceNow Service Mapping feature allows the ability to monitor impact in real-time and uses Predictive AIOps to detect the issues’ accurate location. of. AI-based mapping detects substantial service-level and other associated relationships from the immense data.
Conclusion
An IDC global survey indicated that the most flexible IT organizations are those with proactive monitoring and resolution and employee self-service, which were able to help drive 75% more business success. In regard to this, ServiceNow Predictive AIOps can be a game-changer that can transform your IT department and skyrocket your digital transformation.
