Loading…
Tuesday February 18, 2025 11:30am - 12:20pm EST
In today’s fast-paced world, understanding trends in consumer complaint data is essential for proactively addressing potential safety concerns. Effective data analysis, enhanced by AI-driven techniques such as natural language processing (NLP), enables quick identification of issues and the implementation of corrective actions. Thanks to advanced data visualization tools like AWS QuickSight, Power BI, and Tableau, handling and interpreting complex datasets is now more straightforward than ever. This session will demonstrate how these tools, combined with AI processing, can consolidate disparate data sources into a single, cohesive platform, enabling the creation of meaningful metrics and trend visualizations that drive informed decision-making and enhance product safety.
Moderators
avatar for Lee Tympanick

Lee Tympanick

Senior Quality Engineer, Hasbro
Speakers
avatar for Alan Abrahams

Alan Abrahams

Assoc. Professor, Business Information Technology, Virginia Tech
Dr. Alan Abrahams is an Associate Professor in the Department of Business Information Technology, Pamplin College of Business, at Virginia Tech. Dr. Abrahams's primary research interest is in developing text analytic techniques for detecting product safety concerns from online reviews... Read More →
avatar for Tanya Coutray

Tanya Coutray

Worldwide Principal Data & AI Strategist, Amazon
Tuesday February 18, 2025 11:30am - 12:20pm EST
Palm A-F (Ballroom Level)

Attendees (5)


Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Share Modal

Share this link via

Or copy link