ASQ RRD series webinar: Leveraging AI for Early Issue Detection and Resolution Across the Product Lifecycle
Presenter: Akash Pavan
Thursday, November 14, 2024 12:00 PM – 1:00 PM
(UTC-04:00) Eastern Time (US & Canada)
https://asq.webex.com/weblink/register/rf17f78d5f3135800695dded4304bf0f3
In today’s fast-paced environment, as companies launch new and complex products, customer issues, safety incidents, warranty claims, and recalls are costing manufacturers billions of dollars. Existing statistical methods, such as Weibull Analysis, Failure Mode and Effects Analysis (FMEA), Control Charts, and B10 life analysis, though effective, struggle to handle the complexity and unstructured nature of data sources like warranty, service, call center, emails, and post-warranty data. Artificial Intelligence (AI) is revolutionizing the way companies detect and resolve issues by automating previously manual and tedious tasks. AI can connect diverse data sets—ranging from service records to diagnostic codes—to detect anomalies and emerging issues early, significantly accelerating issue resolution and reducing downtime.
This webinar will explore how AI can integrate with existing statistical methods to provide a comprehensive view of product reliability. Through case studies, we will demonstrate how AI-driven insights can proactively manage emerging issues, reducing financial liability and improving customer satisfaction. Participants will learn how AI can automate the flagging of new failure modes, link disparate data sources for root cause analysis, and drive faster resolution of high-priority problems across the product lifecycle.