Optimism abounds about artificial intelligence’s (AI) potential impact on the asset management industry, with many companies investing heavily in AI-based solutions. Yet, asset management lags the rest of the financial services sector in the adoption of AI as a predictive analytics tool, particularly within distribution.  

• The relevant data in asset management distribution is often not “clean” enough to be used effectively by AI systems
• Adoption of AI requires up-front investment, often years before a positive ROI can be achieved
• Successful deployment of AI solutions generally requires stakeholders to disrupt established processes, potentially risking existing revenue

Usage of Predictive Analytics

Source: FUSE, Nvidia