Monday, 12 May, 2025
Automation Anywhere CFO Warns Poor Data Quality Threatens AI Success in Finance
Vikram Khosla, CFO of Automation Anywhere, emphasizes that poor data quality—marked by inconsistency and fragmentation—poses a significant risk to AI adoption in finance. He highlights that outdated ERP systems and legacy infrastructure hinder effective AI deployment. Khosla urges finance leaders to prioritize data governance and integrity, asserting that without clean, structured data, AI tools may yield flawed insights, leading to costly decision-making errors.
Read full story at Economic Times