The technology leader and author explains how AI can help businesses improve reliability, reduce complexity, and build smarter operations.
Artificial Intelligence is changing the way businesses think about technology. While much of the public conversation around AI focuses on chatbots, content generation, and virtual assistants, Mahesh Kumar believes the real long-term value of AI lies elsewhere — in IT operations and DevOps.
Mahesh Kumar, a technology leader and author with more than 15 years of experience in IT operations, client management, and digital transformation, sees AI as more than a trend. In his view, AI is becoming a practical tool that can help organizations manage complex systems more efficiently, improve service reliability, and reduce the manual effort required to keep modern digital environments running smoothly.
As businesses continue to expand across cloud platforms, hybrid infrastructure, APIs, microservices, containers, and distributed systems, the job of IT operations teams has become far more demanding. Teams are expected to manage thousands of alerts, maintain uptime, respond to incidents quickly, and ensure business continuity — often with limited time and resources. At the same time, DevOps teams are under pressure to release software faster without affecting quality or stability.
According to Kumar, this growing gap between system complexity and operational capacity is where AI can make a real difference.
Over the course of his career, Kumar has worked closely with organizations across diverse technology environments, helping improve operations, service delivery, and business performance. His hands-on experience has given him deep insight into the practical challenges faced by modern enterprises, including alert fatigue, slow incident response, fragmented observability, manual workflows, and gaps in automation.
Rather than viewing AI only as an innovation tool, Kumar sees it as a way to make better operational decisions. He believes businesses can use AI to move away from reactive problem-solving and toward more intelligent and proactive operations.
This idea is central to his recently published book, AIOps for IT Operations. The book offers a practical guide for IT professionals, DevOps teams, Site Reliability Engineers, cloud professionals, and technology leaders who want to understand how AI can be applied in real-world environments. It explains how AI, automation, and observability can work together to reduce downtime, improve incident response, and strengthen system reliability.
What makes Kumar’s approach stand out is its practical focus. Instead of speaking only about the future, he focuses on implementation. He highlights how organizations can build stronger observability foundations, improve automation maturity, introduce intelligent workflows, and create systems that are more proactive and, over time, more self-healing. His message is clear: AI should reduce complexity, not add to it.
Kumar believes this is especially important as many enterprises move from AI experimentation to actual execution. While many companies have already tested AI through pilot projects, far fewer have embedded it deeply into their day-to-day operational models. In his view, the next wave of business value will come from those that successfully integrate AI into the core of IT operations and DevOps.
In IT operations, AI can help teams identify unusual system behaviour earlier, connect signals across multiple monitoring tools, and surface likely causes before problems grow larger. This can lead to faster remediation, reduced downtime, lower operational stress, and a better experience for customers. For businesses, that means improved continuity, greater efficiency, and stronger digital resilience.
Kumar is also exploring this shift through his next project; a new book focused on implementing AI in DevOps. In this work, he examines how AI can support CI/CD intelligence, infrastructure automation, predictive failure analysis, deployment quality, and engineering productivity. As software delivery becomes faster and more distributed, he believes AI will become increasingly important in helping teams balance speed with reliability.
For Kumar, the future of DevOps is not only about automating tasks, but also about automating better decisions. AI can help teams evaluate release risk, improve rollback planning, anticipate deployment issues, and reduce change-related incidents before they affect business performance.
Ultimately, Mahesh Kumar believes the future of AI in enterprise technology will be defined by usefulness. Businesses will place the highest value on AI systems that improve reliability, reduce manual effort, simplify operations, and deliver measurable results. In that sense, the true power of AI is not just in what it creates, but in how effectively it strengthens the systems that keep modern businesses running.
With more than 15 years of industry experience and a growing voice in the field, Mahesh Kumar is helping shape the conversation around how AI can be used in practical, meaningful ways across IT operations, cloud, automation, and DevOps.
