Dirty product data has stymied B2B practitioners’ efforts to drive digital commerce success for more than two decades. Ambitious business plans and sophisticated eCommerce systems have consistently fallen flat when fueled by inaccurate product information and unusable content.
Is AI the answer to the industry’s “Data Problem?”
In this hard-hitting Master B2B Un-Webinar, broadcast LIVE from the main stage at B2B Online, two teams of industry experts debate whether AI can finally resolve this challenge.
We dig into the big questions about data problems:
- What are the drivers of the “Data Problem?”
- Can AI really break through organizational silos and legacy processes that have been a root cause of data gaps and inconsistencies?
- Is there really a resource savings?
- How many people are needed to “train” and manage generative AI tools versus just improving data “the old fashioned way?”
- Are there integration and “prompt engineering” challenges with AI that make it impractical for use in cleansing and normalizing data?
- Can AI really understand the context and preferences necessary to deliver great product data and content in complex B2B industries?