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What Are the Challenges for Managed Service Providers (MSPs) to Adopt AIOps?

May 20. 2022
What-Are-The-Challenges-for-Managed-Service-Providers-(MSPs)-to-Adopt-AIOps

As technology changes and continues to advance, businesses need to keep up. Utilizing the latest solutions allow businesses to deliver services and products more efficiently and at a low cost. Businesses often outsource work and services to third-party companies, mainly due to better functionality and budget constraints. These companies also rely on specific technological solutions like automation for improved and optimized processes. This is where AIOps Artificial Intelligence for IT Operations plays an important role. As companies and services become dependent on technology, AIOps provides solutions that reduce error, improve cybersecurity, and allow seamless digital transformation. Across sectors, Managed Service Providers or MSPs that work with many businesses utilize various technological solutions. Nowadays, AIOps is becoming one of these solutions that MSPs can benefit from. However, much like the introduction of new services, it takes time to understand and work with these solutions. Here, AIOps involve certain challenges which stop MSPs from being able to fully adopt the solutions.

Challenges in AIOps Adoption for Managed Service Providers (MSPs)

AIOps is not a very new form of technology, and now has its uses in various industries. However, the adoption of AIOps across a business infrastructure is still not as widespread and can seem challenging for several reasons. While MSPs benefit from the automation and optimization solutions of AIOps, they can find it difficult to adopt it for entire businesses or for a whole set of functions and processes for a particular business.

The first challenge that AIOps presents is in its utilization of it in different aspects. Operations teams need to have a deep understanding of what AIOps can do beyond analysis and automation for specific aspects.

Businesses outsource certain tasks to managed service providers. These tasks involve determining what processes and functions are necessary for specific operations and then maintaining those to improve the efficiency of the operations. AIOps can assist in IT infrastructure managed services, and it primarily focuses on system monitoring. Now, system monitoring is complex and not easy to comprehend. System monitoring with AIOps comprises several management tasks, anomaly detection, event correlation, and root cause analysis. It can also include alerts, diagnostics, and security. Most MSPs can perform each aspect of system monitoring separately. They have the tools for this and may not understand the need for AIOps. AIOps solutions are instrumental in automation and optimization. They are able to automate these tasks to reduce error and the need for human intervention. However, for MSPs that rely on manual tasks, this change can prove to be challenging.

A problem that MSPs often face in system monitoring is the integration of legacy products. While legacy products are present and can be utilized, they cannot be integrated across systems. Businesses often have various systems that are a part of the IT infrastructure. It is essential to run checks and conduct monitoring across these systems to ensure that the entire infrastructure is performing at its peak. When MSPs fail to integrate the legacy products within the systems, it affects the efficiency of the business. AIOps has the potential to solve this. However, it requires significant knowledge to operate AIOps tools. The lack of this knowledge leads to many hurdles. AIOps integration may not be time-consuming, but it is complex.

A significant hurdle that MSPs face with AIOps is the change that these solutions offer. For the longest time, businesses have been implementing manual or partially manual processes. Even with the advancement of technology, there is a lack of implementation across infrastructures and sectors. AIOps represents the change to full automation. Automation saves time, money, and effort, and increases scalability, transparency, and the security of systems. But MSPs may be resistant to this change. This is where AIOps usage becomes difficult. It is a challenge to understand the solutions and apply them in specific areas. However, with time, MSPs can learn to integrate and implement AIOps with ease.

The final challenge with AIOps for MSPs is that this technology is still evolving. The development of AIOps is an ongoing process. MSPs need to keep up with these developments and constantly learn the applications of each tool in different aspects of the system.

Is AIOps Necessary for Managed Service Providers (MSPs)?

Once MSPs are able to get on board with the idea of AIOps and implement it in system monitoring and management, AIOps can provide many benefits.

AIOps are necessary for MSPs because it presents many possibilities and processes that improve the efficiency and therefore, the outcomes of a business.

The best AIOps platform software provides tools for five different solutions: ingestion, topology, correlation, recognition, and remediation. These solutions are applicable across the infrastructure and no human intervention is necessary. This means that AIOps solutions assist in the collection and indexing of telemetry data and events within the system, from various domains. Certain AIOps tools also allow MSPs to customize software applications that can offer a visual representation of activities within the infrastructure. MSPs will also be able to connect or correlate events automatically after the implementation of AIOps with any interference from the operations teams. This reduces the risk of error considerably.

As MSPs need to anticipate the need for specific processes and functions within the business infrastructure, it is important for them to understand the condition of the infrastructure. Manual analysis of this can be difficult. But with AIOps, it is not only possible to conduct a thorough analysis of the system but also to understand how its performance may change when certain factors are considered. Apart from all of this, AIOps solutions are able to provide accurate predictions based on current and historical data. These help in remediation through recommendations and targeted implementation.

Conclusion

IT automation with AI is the way forward for every industry, and MSPs need to realize the importance of AIOps. AIOps solutions are necessary for enhanced operations, optimized systems, and improved efficiency. Therefore, it is crucial for MSPs to overcome the challenges, and learn the use of AIOps in different parts of the business infrastructure. It will not only assist system monitoring tasks but will also introduce cost-effective solutions for maintaining the performance of business processes.

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