  This paper introduces Fortune Analytics Language Model (FALM). FALM empowers
users with direct access to comprehensive business analysis, including market
trends, company performance metrics, and expert insights. Unlike generic LLMs,
FALM leverages a curated knowledge base built from professional journalism,
enabling it to deliver precise and in-depth answers to intricate business
questions. Users can further leverage natural language queries to directly
visualize financial data, generating insightful charts and graphs to understand
trends across diverse business sectors clearly. FALM fosters user trust and
ensures output accuracy through three novel methods: 1) Time-aware reasoning
guarantees accurate event registration and prioritizes recent updates. 2)
Thematic trend analysis explicitly examines topic evolution over time,
providing insights into emerging business landscapes. 3) Content referencing
and task decomposition enhance answer fidelity and data visualization accuracy.
We conduct both automated and human evaluations, demonstrating FALM's
significant performance improvements over baseline methods while prioritizing
responsible AI practices. These benchmarks establish FALM as a cutting-edge LLM
in the business and media domains, with exceptional accuracy and
trustworthiness.
