IT organizations that identify and understand patterns in vast, diverse sets of data are best equipped to find, fix, and prevent performance problems. But when digital transformation outpaces IT performance management, hybrid and multi-cloud infrastructure creates complexity—and that comes with a hefty price tag. That's where artificial intelligence in IT operations (AIOps) comes into the picture.
Gartner describes AIOps platforms as software systems that combine big data and artificial intelligence (AI) or machine-learning functionality “to enhance and partially replace all primary IT operations functions, including availability and performance monitoring, event correlation and analysis, and IT service management, and automation.” AIOps is the application of machine learning and data science to IT operations to make them more efficient.
Gartner also predicted that “large enterprise exclusive use of AIOps and digital experience monitoring tools to monitor applications and infrastructure will rise from 5% in 2018 to 30% in 2023.” Businesses are increasingly adopting AIOps, and view it as a practical and necessary element among a suite of next-generation IT solutions.
Here's why your businesses should turn to AIOps.
It breaks down data silos
Many organizations say the inability to manage large chunks of data is a key reason they haven't been able to monitor events and systems effectively in their environments. AIOps enables organizations to break down data silos and overcome the existing challenges with full visibility across IT environments.
AIOps includes multiple AI capabilities, especially with the amount of data available for analysis and monitoring. The best practice is to substantiate data and identify your top occurring problems.
With AIOps, data is ingested in the form of logs, events and metrics and is taken through a set of algorithms that select specific data points. Once those data points are chosen, a correlation or set of patterns is identified, inferences are drawn, and those pass into a collaborative work environment.
AIOps eliminates IT operational noise
If you are a part of an IT Ops team, IT operational noise is your No. 1 concern. IT noise creates severe problems for the business, including higher operating costs, performance and availability issues, and risks to enterprise digital initiatives. AIOps makes a tangible difference across industries. AIOps-powered tools don't just reduce IT noise, but also eliminate it by creating correlated incidents that point to the probable root cause.
It delivers a seamless customer experience
Ensuring a seamless customer experience with predictive analytics is an important business objective. AIOps makes complex automated decisions by collecting and analyzing data. By leveraging this data, it can predict future events that may affect availability and performance before those become an issue. AIOps helps to speed up problem solving and deployment.
It overcomes monitoring and analytics challenges
The use of a wide range of monitoring tools makes it extremely difficult to arrive at results and quickly correlate and analyze multiple application performance metrics to solve complex, emerging problems before they affect the user experience. Data collection is the primary step in enabling AIOps, and you must collect and correlate this data from multiple sources to effectively analyze it. AIOps and digital experience monitoring deliver a primary, single pane of glass analysis across all domains underlying the service, reducing the need to use multiple tools for analysis.
When properly implemented with trained staff, an AIOps platform reduces the time and attention of IT personnel spend on mundane, routine, everyday alerts. IT staff teaches the AIOps platform, which then evolves with the help of algorithms and machine learning, recycling knowledge gained over time to further improve the software's behavior and effectiveness.
AIOps has clear business benefits
The massive increase in the adoption of AIOps reflects a pragmatic shift that's revolutionizing IT operations. You can expect to see benefits in these areas:
Improved collaboration—AIOps facilitates collaboration and workflow activities within IT groups, and between IT and other business units. With customized reports and dashboards, teams can understand their tasks and requirements quickly.
Improved business ROI IT productivity—Businesses see improvements by decreasing mean time to repair—preventing outages by predicting incidents and removing repetitive manual tasks with automation. AIOps helps to optimize the overall capacity of your team with increased output and cost reduction.
Digital transformation success—Companies face many challenges on their way to a digital transformation. For organizations moving toward a digital-centric approach, AIOps adds business value by saving time and effort so your staff can focus instead on innovation. AIOps provides end-to-end visibility into infrastructure and applications.
Improve performance monitoring and service delivery—AIOps predicts performance issues and forecasts resource utilization. It focuses on the most likely source of a problem by applying probable cause analytics. It helps to identify the underlying problems driving incidents by using clustering and anomaly detection. AI, machine learning, and automation can lift the burden from your help desk team by assessing the patterns of support tickets, usage patterns, and information regarding user interaction.
Embrace AIOps as a disruptive force
AIOps is disrupting IT operations management, and will continue to do so. The technology is used today to avert problems, cut costs, improve customer experience, and free IT personnel to focus on tech innovations. It elevates the strategic importance and visibility of IT to the business by improving the performance and availability required, no matter how complex your environments become.
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