AI-Driven Automation & DevOps Summit 2025

AI-Driven Automation & DevOps Summit 2025 is a forward-looking technology conference focused on how artificial intelligence is transforming automation, DevOps, and modern software delivery. The summit brings together industry experts, architects, engineers, and technology leaders to explore real-world applications of AI in building scalable, resilient, and intelligent systems.

The event will cover key topics such as AI-powered automation, AIOps, MLOps, intelligent CI/CD pipelines, cloud-native DevOps, infrastructure automation, and operational intelligence. Through expert-led sessions and practical discussions, attendees will gain insights into how organizations are using AI to reduce manual effort, accelerate deployments, improve system reliability, and enable data-driven decision-making.

Designed for developers, DevOps engineers, SREs, architects, engineering managers, and IT leaders, the summit emphasizes practical use cases, lessons learned, and best practices from real production environments. Participants will leave with a clear understanding of how to adopt AI-driven automation strategies to modernize DevOps workflows and drive operational excellence.

Speaker Highlight – Karthik Bojja

Karthik Bojja is one of the featured speakers at this event, where he will share his extensive experience in AI-driven automation and modern DevOps practices. With many years of hands-on industry experience, Karthik has successfully designed and implemented intelligent automation solutions that leverage artificial intelligence, machine learning, and scalable DevOps pipelines to improve efficiency, reliability, and operational excellence across enterprise systems.

In his session, Karthik will discuss real-world use cases, architectural best practices, and lessons learned from applying AI-powered automation in production environments. Attendees will gain practical insights into how AI is transforming DevOps workflows, enabling smarter decision-making, faster deployments, and more resilient systems.