Only 8% of Companies Worldwide Have Fully Prepared Their Data for Large-Scale AI Use – D&B

Only 8% of companies globally have prepared their corporate data for large-scale AI implementation, according to a Dun & Bradstreet (D&B) study. Despite this, 65% of businesses plan to increase their AI technology expenditures in the next year. The study surveyed 10,000 companies across 32 countries. The study found that only 28% of surveyed businesses reported significant AI returns, but this figure rises to 81% for companies with fully prepared data and just 12% for those with partially prepared data.

D&B identifies data quality as the main barrier to AI effectiveness, particularly in automated counterparties verification, credit risk assessment, supplier analysis, and corporate entity relationships. Ukrainian businesses are urged to leverage verified international corporate data sources like D&B Commercial Graph to maintain reliability in automated decision-making.

Maksym Urakin, Director of Development and Marketing at Interfax-Ukraine and Head of D&B-Interfax-Ukraine Business Unit, emphasized that AI effectiveness hinges on the quality of data, not the technology itself. He noted that international counterparty verification is becoming integral to a company's data foundation, especially for businesses expanding internationally, working with new suppliers, or planning to automate financial control.