Supercharge with Workspace: LSEG's New AI Deep Research Capability
Why It Matters
The capability accelerates financial analysis and decision‑making, reducing manual data‑wrangling and giving firms a strategic advantage in a data‑driven market.
Key Takeaways
- •Deep Research integrates LSEG data with AI for financial analysis.
- •Answers complex queries using multiple datasets like Datastream and I/B/E/S.
- •Generates charts, graphs, and Excel exports for deeper insight.
- •Learns from usage, improving response quality over time.
- •Can share AI responses via Teams and Open Directory.
Summary
London Stock Exchange Group unveiled Deep Research, an AI‑powered feature inside its Workspace platform that lets users conduct in‑depth analysis across LSEG’s trusted data sets.
The tool layers large‑language models on top of proprietary feeds such as Datastream’s millions of time‑series, I/B/E/S estimates and cross‑asset pricing, enabling users to ask multi‑dimensional questions—e.g., earnings gaps, historical trade patterns, geopolitical impact—and receive answers in market‑professional language.
In the demo, Devon Reichelt shows how Deep Research could dissect Honeywell’s latest earnings, compare them to consensus, chart 50‑day pre‑earnings moves, model Middle‑East risk on 2026 revenue, and pull peer benchmarks, then export the visualizations to Excel or share via Teams and Open Directory.
By automating data retrieval, visualization and even code generation, Deep Research promises faster, more accurate research cycles, giving banks, asset managers and corporates a competitive edge as LSEG expands the data catalog.
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