AI agents are changing how investment research gets done. But their output is only as strong as the data behind them. 🤖📊 As agentic AI takes on more complex, multi-step research workflows, data quality, context and interoperability become increasingly critical. A stale timestamp, unclear metric or incorrect entity match can compound across an analysis and undermine the reliability of the results. Angana Jacob, Bloomberg's Head of Research Data, explains why a strong data foundation could become a key differentiator for firms adopting agentic AI. Find out more about AI-driven investment research: #BloombergEnterpriseData#