However, the adoption of AI and automation requires a significant shift in tooling and processes. IT teams need to understand their infrastructure, deploy hybrid cloud monitoring for a global view of the tech stack, and use AI for data analysis and problem-solving. Automated workflows can carry out specific tasks based on AI recommendations. The article emphasizes the need for human oversight and control to ensure optimal outcomes and mitigate risk. It concludes by stating that the integration of AI and automation can pave the way for accelerated innovation and optimized business processes.
Key takeaways:
- Artificial intelligence (AI) and automation have emerged as critical solutions to the challenges of managing and interpreting vast amounts of real-time performance data in IT operations.
- AI for IT operations (AIOps) can act like a copilot, sorting through large amounts of data, highlighting important findings about system health, and automating fixes, thus reducing operational costs and improving user experience.
- The integration of AI and automation in IT operations management (ITOM) requires a significant shift in tooling and processes, including understanding the infrastructure, deploying hybrid cloud monitoring, and establishing automated workflows based on AI recommendations.
- While AI and automation can streamline tasks and improve workflows, it's important to maintain human oversight and control to ensure optimal outcomes and mitigate risk.