Partner Content: How MSPs can take their next steps to AIOps maturity

clock • 2 min read
Partner Content: How MSPs can take their next steps to AIOps maturity

Today's technology leaders face a growing number of challenges. From outages to attacks, employee attrition to a lack of resources, efficient operations are a crucial priority for both MSPs and their customers. It's now more important than ever to streamline resources and ensure productivity is not only maintained but boosted. MSPs must take advantage of modern tooling like AIOps.

Intelligent, automated operations allow service providers and clients to reclaim their resources and focus on growing their business. It increases service quality, efficiency, and agility while limiting risks and errors.

CRN research indicates that the majority of organisations are currently in the ‘consolidation' stage of AIOps, whereby data swamps and human-driven analytics are being used. This suggests they are not looking at the acquired data and understanding the association with business services. Greater AIOps maturity involves contextualising and synchronising data with machine-driven analytics, establishing recommended actions, and ultimately generating a self-organising, self-scoring, and self-healing system.

Partnerships & priorities

AIOps creates a noise-reduced and prioritised view on data in a way that is easily consumable and actionable, allowing organisations to ensure applications and infrastructure scale with demand at speed. In this way, monitoring tools can be consolidated, visible, and observable. MSPs must form the right partnerships with platforms that enable AIOps to help them grow and scale, not just simply plug and play.

Customers expect agile and performant services. MSPs are under pressure to develop, test, and deploy advanced processes quickly in order to compete and stay profitable. They must manage and maintain multiple moving parts such as on-premises environments, private and public clouds, SaaS, and technologies that enable hybrid working.

The best approach to coping with these demands is through AIOps implementation that focuses on MSP's customer challenges. Applying AI to automate and optimise processes expedites customer value creation, reducing operational expenses by proactively identifying, isolating, and resolving issues without human intervention. Service outages are avoided, service delivery and revenue are increased, and ongoing learning means improvements are continuous.

Ensuring customers are kept up to date with new technologies must be a key initiative for MSPs. Ongoing remote working has driven AI adoption, but there is still progress to be made in reaching digital maturity. Often, organisations can be reluctant to move away from legacy tooling but using out-of-date operations severely impacts visibility, security, and costs. Expanding beyond traditional IT is now a must-have.

It is necessary to focus on and empower innovation so that strategic goals are reached. Choosing the right solution to consolidate existing IT tools and establish a real-time operational data platform is crucial in empowering next-gen MSPs.

MSP AIOps demo video

This post was funded by LogicMonitor.

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