The integration of Artificial Intelligence (AI) into DevOps practices presents a groundbreaking opportunity to revolutionise platform engineering, fundamentally enhancing operational efficiency, reliability and innovation in computing environments.

This session will share the role of AI in transforming the role of engineers by automating complex workflows, optimizing resource management, and ensuring high levels of system performance and security. The session will start by looking at the challenges faced by engineers and developers in the dynamic and complex ecosystem of platform computing (on-premises and in the cloud), including the management of scalable resources, continuous integration and deployment (CI/CD) pipelines, and real-time monitoring and incident response.

Exploring AI-driven solutions will show how it can address these challenges by providing advanced analytics for predictive maintenance, automated problem detection and resolution, and intelligent resource allocation. We will showcase the significance of AI in enhancing security, through anomaly detection and automated threat response, thereby safeguarding applications, infrastructure and data.

Successfully integrating AI into DevOps practices means we have some pre-requisites to embedding it - namely the need for robust data strategies, inter-disciplinary collaboration and continuous learning.

Through a comprehensive analysis of current trends and case studies, this study aims to provide engineers, developers and DevOps teams with insights into leveraging AI for optimizing cloud operations, ensuring the agile, secure, and efficient delivery of cloud services. By charting the convergence of AI and DevOps in platform engineering, we will discuss the future of our industry, envisioning a landscape where AI not only automates but also innovates, driving the next wave of DevOps advancements.