A 50 billion parameter LLM (Large language Model) custom built for finance. This would be backed by the powerful data provided by Bloomberg Terminal.
Sentiment analysis
news classification
document briefs
Creating charts by comparing information
analysing impacts on various entities or countries based on company published market outlook documents
The number of AI applications for finance are increasing by the day however the transition and their use cases will need to be tested before widescale adoption to ensure the accuracy for the data.
AI for finance could have significant value creation by not only streamlining processes like your complicated excel formulae but also summarising large documents and allowing you to extract the main information which you would be looking for.
Data is the new oil.
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