Dun & Bradstreet brings agentic credit and portfolio management workflows to Databricks

Dun & Bradstreet is launching new AI-driven credit and portfolio management tools on the Databricks platform. For retailers and service providers managing their own credit portfolios or in-house financing, this means faster and more accurate risk assessment. The update uses 'agentic' workflows, which are essentially AI agents that can automate complex data analysis. Instead of manually digging through spreadsheets to check the health of your customer base, these tools help identify which accounts are at risk of default before it happens. This technology bridges the gap between raw data and actual credit decisions. It uses D&B’s massive Commercial Graph to track relationships between businesses and their financial behaviors. If you offer financing to other businesses or professional clients, this allows you to scale your lending without needing a massive team of analysts. It also makes it easier to spot growth opportunities within your existing customer list by identifying who is most likely to qualify for higher credit limits. The focus here is on speed and reducing the manual labor involved in managing credit risk.

Source: Finextra — Lending

← Return to the library· Submit a correction