AIOps platforms are something that have been around for a while. To the uninitiated, here is what it means.

AIOps platforms are software systems that combine big data and artificial intelligence (AI) or machine learning functionality to enhance and partially replace a broad range of IT Operations processes and tasks, including availability and performance monitoring, event correlation and analysis, IT service management, and automation

However, this definition essentially leaves us with a question – what can AIOps really do for your Enterprise IT systems?

Well, AIOps as a solution, ensures that your business & mission critical systems are in their optimal performing condition in order to:

Avoid costly downtime and improve customer satisfaction: By predicting source, application and network anomalies to proactively fix IT related problems

Dissolve IT silos and siloed responses: Dissolves siloed data in order to reduce downtime through accelerated root-cause analysis and remediation.

Bring in Automation to Manual Tasks: Reduces inconsistency in responses, eradicates errors that are hard to troubleshoot, and enable IT teams to focus more time and energy on analysis and optimization.

Enhance Collaboration with your business peers: Bolster collaboration to demonstrate business value of strategic organizational initiatives.

So how can an organization leverage AIOps and what are the components of an AIOps platform?

The components of AIOps that makes Ops, AIOps:

Data Collection: Successful AIOps and Big Data technologies are used to collect data from disparate sources, to transform and aggregate the data as needed, and backup while retaining data effectively and maintaining data quality sufficient for powering data analytics & machine learning.

Data analytics: Once data has been appropriately collected and transformed; statistical analytics are performed to draw out insights from the data.

Machine learning: Machine learning is the process of using the insights gleaned from data analytics to make automated decisions. Machine learning is implemented through algorithms that allow software to react automatically to information revealed by data.

Artificial intelligence (AI): AI refers to the broader category of automated decision-making, of which machine learning is one component.

Domain algorithms: That leverage IT domain expertise (specific to one environment or at the industry level) to intelligently interpret and apply the rules and patterns, as dictated by an organization’s data and its desired outcomes. These algorithms make it possible to achieve IT specific goals like eliminating noise, correlating unstructured data, establishing baselines, alerting abnormalities, and identifying probable cause.

And an organization can leverage AIOps by:

Anomaly detection Perhaps the most basic use case for AIOps is detecting anomalies within data, then reacting to them as needed.

Causal analysis: Helping IT Ops teams automate root cause analysis so that issues can be resolved quickly.

Alarm management: AIOps plays an increasingly important role in helping IT Ops teams to contend with the deluge of alerts that they must handle in order to support operations.

Intelligent remediation: driving closed loop remediation through automation tools without relying on human operators

How is ServiceNext Delivering AIOps?

ServiceNext as an AI solutions provider has built a platform providing the aforementioned capabilities. By marrying machine data & machine learning for classification, correlation, prediction and forecasting, pattern discovery, anomaly detection and root-cause analysis, ServiceNext delivers a modern approach to AIOps and leverages it to bring intelligence to modern IT organizations.

ServiceNext further empowers your teams to proactively prevent and quickly solve operational disruptions in real time. You can move seamlessly from business service reports to investigation and remediation, resulting in end-to-end visibility into your services and the ability to operate better, faster and stronger.

Learn more about ServiceNext AIOps and how it can make your IT team’s life easier and more efficient. You can also check out the Gartner Market Guide for AIOps Platforms.