An AI security vendor on Tuesday published an analysis of the generative AI (genAI) coding differences between its retail and finance customers, revealing that the retail approach is much more aggressive, whereas finance has been working on the technology longer.
“Retail is pushing genAI into production faster. Finance is still experimenting. Retail companies are embedding genAI at 2.1 times the rate of financial services, based on the proportion of repositories that include genAI components,” said the report from AI vendor Apiiro, whose clients include Colgate-Palmolive, Shell Global, BlackRock, and the Rakuten Group.
The analysis, based on an examination of more than 100,000 code repositories using Apiiro’s Deep Code Analysis tool, showed how differently the two verticals are approaching genAI coding strategies. It noted, “61% of retail genAI repositories show active development, based on commit activity and contributor engagement. In financial services, that number [is] 22%. Retail teams are moving genAI projects through the build-test-ship cycle, while many finance teams remain in slower, more siloed experimentation phases.”
