How AI Technology Can Identify Flaws and Prevent Product Recalls: The Axion Ray Approach
There, he saw that AI-powered projects to prevent product issues would often fail because the AI wasn’t sufficiently fine-tuned.
“Without [the right solution], many different groups across the enterprise do siloed analyses about emerging quality issues.
“Product quality issues can have an impact on the end user if [the] issues aren’t addressed quickly and efficiently,” First told TechCrunch in an interview.
“We use a specialized AI to scan messy, unstructured and disconnected data across various systems to flag emerging recurring product quality issues,” First explained.
First asserted, however, that Axion will delete customer data within 30 days of receiving a request.
