In our previous blog, we introduced you to AI-powered operations (AIOps), its benefits and several examples of operational scenarios. So you already know that it offers numerous benefits for businesses, from improving operational efficiency and service availability to enabling more informed decision-making through advanced data analytics. In this blog, we will explore its capabilities and factors that you need to consider before implementing AIOps solutions into your business.

AIOps capabilities

Factors to consider before implementing AIOps into your business

  • Clear objectives and use cases – Define clear goals for implementing AIOps. Identify specific operational challenges or use cases where AIOps can provide value, such as incident detection, root cause analysis or performance optimization. Having well-defined objectives helps guide the implementation process effectively.

  • Quality and availability of data – A strong AIOps implementation relies on high-quality and diverse data. Ensure that your data sources are reliable, relevant and accessible, as the quality of insights depends on the quality of the data fed into the system.

  • Infrastructure and tools – Choose the right tools and technology stack that align with your organization’s needs and capabilities. Evaluate AIOps platforms, machine learning frameworks, and automation tools that can handle your data volume, provide relevant analytics and integrate seamlessly with your existing IT infrastructure.

  • Workforce skills – Prepare your workforce for the shift by providing necessary training and fostering a mindset of collaboration between IT teams. Cultivate skills in data science, AI and machine learning to ensure your team can effectively work with AIOps technologies.

  • Performance Metrics and Continuous Improvement – Define measurable key performance indicators (KPIs) that align with your business goals. Regularly assess the impact of AIOps on your operational efficiency, incident response time, downtime reduction and other relevant metrics. Use these insights to continuously refine your AIOps strategy for optimal results.


Implementing an AIOps solution in a company can vary in complexity depending on the organization’s size, existing technical infrastructure, goals and the specific AIOps tools and technologies you plan to use. Think about the expertise of your internal team, the complexity of the solution, available resources and the urgency of implementation.  If your company lacks the resources to dedicate to this project, partnering with a specialized vendor or consultant could help speed up the process.

When it comes to addressing your unique operational challenges and unlocking your growth potential, Mediaan Conclusion stands out as your ideal AIOps partner. We specialize in diagnosing and resolving complex operational hurdles that might be impeding your progress. Whether your goal is to scale your e-commerce platform, optimize processes in manufacturing, enhance customer retention in the telecom industry, ensure regulatory compliance, or tackle any other specific challenge, our tailored solutions are designed to harness the power of big streaming data and real-time AI insights, delivering tangible and transformative results. Read more about our AIOps solution here. Together, we make a difference in your organization!

This blog is written in collaboration with Sergej Jurev – AI & ML Engineer at Mediaan Conclusion.