Tax season adds stress to banking systems with a surge in transactions, fraud threats, data complexity and necessary risk controls.
This added stress, including to AI systems, can expose gaps in data quality, Mark Blake, financial services industry practice lead at data management solution provider Stibo Systems, tells FinAi News on this episode of “The Buzz” podcast.
Those gaps to watch for in AI systems include:
- Mismatched data;
- Missing data;
- Lineage issues; and
- Auditability issues.
Financial institutions must ensure “they’re meeting and satisfying the regulators, and they need to be confident that their AI models also stand up to that pressure,” Blake says.
Listen as Blake discusses AI readiness at financial institutions this tax season.