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: https://t.co/CGkk6BwIZV
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