Revolutionizing IBM i Development with AI-Driven Impact Analysis

About the Webinar

Our insightful webinar, Revolutionizing IBM i Development with AI-Driven Impact Analysis, will explore actionable solutions to help you navigate the complexities of manual change management and impact analysis, supercharging your IBM i development and modernization journey.

Change management involves a formal, structured approach to managing modifications to systems, applications, and configurations to ensure stability across the overall IBM i environment. Impact analysis, a crucial component of change management, involves following a structured approach to systematically evaluate the potential consequences of proposed changes on the overall IBM i environment. Although it may seem simple at first, the massive lines of code, inconsistently named variables, and deeply nested interdependencies in IBM i applications can make these process confusing and complicated.

Beyond being time-consuming and resource-intensive, manually assessing these mission-critical applications, without in-depth platform knowledge and sufficient documentation, can lead to errors that increase the risk of downtime, disruptions, and even business discontinuity.

Tools like AI-powered Impact Analysis (iA) help address these challenges. By automating routine analysis tasks, identifying dependencies, and generating detailed documentation, it provides complete visibility into your IBM i environment. With AI-driven code assistance, iA also converts multigenerational code into clear summaries, bridging knowledge gaps created by the retirement of experienced professionals.

In this session, IBM Champion, Mike Pavlak, will walk you through the practical steps of leveraging iA to minimize effort, reduce operational costs, and streamline processes for both short-term and long-term initiatives.

Key Takeaways:

• A clear understanding of the importance and benefits of impact analysis tools like iA in IBM i modernization.
• A comprehensive overview of the challenges in IBM i development and modernization.
• Insights into using iA to automate analysis processes for identifying application structures, dependencies, and improvement areas.
• Practical approaches to enhancing efficiency, minimizing effort, optimizing resource allocation, and reducing costs.
• Proven strategies to leverage iA insights for effective planning and data-driven decision-making.