The adoption of digital transformation is increasing at a much higher pace amongst businesses. This is due to them recognizing the tremendous amount of benefits they can gain, especially by saving on Operational Costs and improving productivity. However, this age of digital transformation will not be able to sustain legacy monitoring tools for long. Legacy systems are only capable of analyzing and monitoring to check if any error has occurred or not. This leaves room and requirement for an advanced mechanism to execute a thorough analysis of a business’s entire IT operations. ITOps requires the implementation of an IT analytics and automation system. This is where Artificial Intelligence comes into play.

What is AIOps?
Basically, we can define Aiops as the artificial intelligence programs used for IT operations. AIOps represents AI’s application within IT operations in order to improve and enhance the team’s work efficiency by analyzing and automating various IT processes. AIOps leverages a multi-layered technology platform that facilitates IT automation by leveraging big data, machine learning (ML), and analytics. With the help of such advanced technology, IT automation emerges as the success factor through the implementation of AIOps. The implementation of AIOps is crucial for automatically gathering and analyzing a vast amount of IT data. AIOps is able to identify and intelligently alert technicians of any events or anomalies from the IT data collected.

Benefits of AIOps:
Now we know that the implementation of AIOps helps in automating most of the ITOps activities and is a key factor in the widespread adoption of AIOps. But it also provides a number of other benefits to IT organizations. Let’s look at some of the significant benefits of AIOps for businesses:

Better Productivity:
Harnessing the true power of AIOps improves the overall productivity of the business and IT operations teams. So, how does AIOps help in improving productivity? One of the main challenges encountered by the IT operations team is collecting massive volumes of data. A massive volume and variety of data are required to be monitored and observed continuously to detect any problems in the IT systems. This places a significant burden as the data needs to be checked and processed manually.

Additionally, operators have to dedicate more time identifying the origin of the issue and how it can be solved if it is detected. This is where AIOps improves productivity. The AI-based models collect and aggregate all data and offer real-time analysis. If any issues are found, they are automatically detected by the system and an alert is triggered. This method allows the correct decisions and inference to be taken from the taken, which ultimately improves productivity as manual effort and false positives are greatly reduced.

Cost Savings:
Cost-saving is a crucial aspect, just as important as customer retention. Saving operational costs is a major concern for many IT organizations. The main reason is that IT operators teams need to detect and remediate any incidents manually. Additionally, the IT team is also responsible for managing every system, creating daily back-ups, etc. Such daily mundane tasks take a lot of time and eventually lead to significant increases in operational costs. Any errors in the system must be re-checked and re-done, which further eats up any available resources.

All of the concerns listed above can be automated using AIOps. AI-based ITOps can be programmed to automate most of the mundane tasks that were executed manually. For example, the creation of a daily backup. This process can be automated using AI-based models, which efficiently schedule and create daily backups. By leveraging AI, manual errors can be greatly reduced and re-working or re-checking is no longer required due to its accuracy. As a result, AI-based ITOps can greatly reduce operational costs.

Customer Retention:
Customer retention is a crucial aspect of any business organization. Without customers, no organization or business can move forward. Possessing a well-built product isn’t enough on its own to solve the quotient of customer retention. The product deployed must be stable enough that it does not break or malfunction when it is run. Most customer services are developed by IT, and it is crucial that IT services are executed properly to ensure that they do not fail to deliver when they are run. Doing this manually is very difficult as it is very tough to fulfill the needs and requirements of the customer with speed in this current digital era.

This is where AIOps is key. The application of AI in ITOps ensures that every IT service is delivered with the highest quality and on time. AI-based models automatically assure customer satisfaction and ensure customer retention, which in the long run, enable businesses to offer better customer service.

Revenue Growth:
All of the benefits listed above point towards a single main advantage, revenue growth. The quotient of revenue is the main concern for every business. So how does AIOps improve revenue growth? AIOps allows IT departments to become more agile, allowing them to operate at a higher speed.

Additionally, with the integration of AI-based IT operations, IT service delivery speed also increases significantly. The IT team can allow the business to rapidly launch new products and services while continually improving the existing offerings. The AI-based systems ensure the correct quality of service is offered to customers, which further boosts customer retention and leads to an improvement in revenue growth.

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