As the integration of alternative data with artificial intelligence (AI) systems accelerates, investment firms are experiencing both expanded opportunity and heightened responsibility.
AI is proving highly beneficial in surfacing new signals, streamlining research, and unlocking new sources of alpha from complex, high‑velocity datasets. At the same time, its use is heightening firms’ exposure to model risk, governance gaps, and evolving data rights—requiring firms to implement disciplined controls, auditable decisioning, and a clear data provenance strategy to effectively translate innovation into durable performance.
Download the full publication (PDF)
Source: jdsupra.com
