What are the challenges in upgrading a treasury engine to incorporate advanced t

Upgrading a treasury engine to incorporate advanced technologies such as artificial intelligence (AI) and machine learning (ML) presents several challenges. First, legacy systems may not be fully compatible with new technologies, requiring significant customization or replacement (Gartner). Second, the integration of advanced analytics requires a robust IT infrastructure and skilled personnel to manage and interpret complex data outputs (Accenture). Lastly, there may be resistance to change from stakeholders accustomed to existing processes. To overcome these challenges, organizations should invest in training and change management initiatives. Key Takeaway: Upgrading requires addressing legacy compatibility, IT infrastructure, and change management challenges.