Artificial intelligence for IT operations (AIOps) is transforming the way businesses manage and optimize their technology environments. This presentation explores the critical role of explainable AI (XAI) in the strategic deployment of AIOps solutions. While AIOps leverages machine learning to automate and enhance IT operations, the complexity of these models often creates a barrier to understanding and trust for decision-makers. Explainable AI bridges this gap by providing transparency into how AIOps systems make predictions and decisions.
This session will demystify key AIOps processes, highlighting the importance of XAI for stakeholders who require insights into model outputs to ensure reliability, accountability, and ethical governance. Through real-world use cases, we will examine how XAI fosters informed decision-making, risk management, and better collaboration between technical teams and business leaders. Additionally, we will discuss the strategic advantages of adopting XAI, including increased trust, regulatory compliance, and improved operational outcomes.