THE TOP 5 WAYS AIOPS CAN TRANSFORM YOUR IT OPERATIONS
A recent study by Gartner found that in the near future, approximately 50% of enterprises will actively use AIOps technologies with application performance monitoring (APM) to gain insight into business-critical applications and IT operations. Currently, only a small percentage of enterprises (less than 10%) use these technologies in this way. AIOps involves the use of algorithms and machine learning models to analyze large amounts of data generated by IT systems, identify patterns and trends, and provide insights and recommendations for improving operations.
AIOps has the potential to bring a number of benefits to businesses that use it in their IT operations. AIOps tools are widely used by businesses of all sizes across a variety of industries. We are going to talk about AIOps tools and explain their use in the IT sector in another article, and for now, let’s focus on the 5 best things about AIOps.
Improved efficiency
AIOps is used to improve the efficiency of IT operations. It sits at the intersection of data science and IT operations, using data-driven techniques to unlock deeper insights and improve operational efficiency. These technologies can be used to automate certain tasks, such as incident management and problem resolution, as well as to provide real-time insights into the performance of IT systems. In addition, it can be used to proactively identify potential issues before they become problems, helping organizations avoid downtime and improve service quality. AIOps can help organizations optimize their IT operations and improve their ability to deliver high-quality services to their customers.
AIOPS OBSERVABILITY
Observability in AIOps is the ability to understand the internal workings of a system through monitoring, logging, and tracing. It helps IT teams to do more with less by providing a comprehensive view of an organization’s IT systems and infrastructure. Improved incident management, enhanced monitoring and alerting, improved troubleshooting, enhanced automation, and improved collaboration are some of the ways observability in AIOps can help IT teams do better with less.
A five-hour outage at Facebook, Instagram, and WhatsApp due to configuration changes on routers in Facebook data centers cost the organization approximately $65 million and resulted in a 4.8% drop in stock valuation. This incident highlights the importance of proactively identifying and addressing potential IT operations and service management issues in order to avoid costly service interruptions in the digital economy. By adopting observability platforms and AIOps tools, modern companies can protect themselves from outages and mitigate their impact on business services.
FASTER PROBLEM RESOLUTION
AIOps is a technology that uses algorithms and artificial intelligence to help IT teams quickly evaluate, remediate, or generate actionable insights based on historical data without needing to directly solicit feedback from users. This helps IT operators work more efficiently, resolve issues faster, and keep systems running smoothly, leading to a better end-user experience. The adoption of AI and machine learning techniques in the field of IT operation management has been driven by the large amounts of data generated by IT operations. IT operation management (ITOM) has embraced artificial intelligence (AI) and machine learning (ML) techniques due to the large amounts of data generated by IT operations. The goal of ITOM is to send alerts to IT teams when servers or applications go down, response times exceed defined thresholds, or any other incidents occur in the system. This helps IT teams quickly identify and resolve issues, ensuring that IT systems and infrastructure are running smoothly and efficiently. By using AI and ML techniques, ITOM can improve incident management, enhance monitoring and alerting, and optimize troubleshooting processes, ultimately helping IT teams to work more efficiently and deliver better service to customers.
Reduced costs
AIOps, or artificial intelligence for IT operations, can assist in cost reduction by automating tasks, preventing critical IT anomalies, and ensuring relevant IT automation. AIOps platforms can monitor the performance of IT systems and applications to identify and eliminate potential threats, which can help to reduce the need for corrective measures and save costs. Automating certain functions can also improve system performance and health, reducing the cost of manual processes and errors. Ensuring that IT operations are aligned with business goals and processes can improve overall system performance and generate more revenue, reducing costs and supporting business growth. To achieve cost reduction, companies should invest in AIOps solutions and improve the scalability of their IT operations. By automating many IT operations tasks and helping to prevent issues from escalating, AIOps can help businesses save money on IT resources. One example of cases that help with reduced costs would be by consolidating data from multiple communication platforms, making it easier for IT to manage and turn data into actionable metrics. AIOps tools can also be used to automatically manage and analyze data, reducing the need for manual labor and lowering labor costs. AIOps uses a framework of artificial intelligence and machine learning to reduce the time it takes to detect and analyze data points, with the main cost being the implementation of the AIOps tools. In the event of an anomaly being detected and critical damage occurring, human intervention may be necessary.
IMPROVED CUSTOMER EXPERIENCE
Did you know that according to Statista more than 2.14 billion global online consumers are expected to buy goods in 2021? That is 29% more than digital customers six years ago. The rapid increase in online shopping has driven retailers to adopt advanced technologies in order to provide digital experiences that are similar to in-store experiences. These technologies include automation of back office functions, machine learning-powered data analysis, and customer-facing technologies such as augmented reality and natural language processing-driven chatbots. However, the heavy use of technology in the retail space can pose challenges for IT teams who must ensure seamless, on-demand services for customers with high expectations. To meet these challenges, IT teams may need to adopt technologies such as AIOps, or artificial intelligence for IT operations, to optimize and automate IT operations, improve incident management and problem resolution, and provide real-time insights into system performance. By using AIOps, IT teams can improve the reliability and availability of digital services, helping retailers to deliver a more convenient and personalized shopping experience to their customers.
