AI-POWERED BUSINESS INTELLIGENCE COPILOT USING MULTI-MODEL DEEP LEARNING AND LARGE LANGUAGE MODEL ANALYTICS

The Business Intelligence Copilot has been created by utilizing multiple technologies such as multi-modal deep
learning and Groq's large language model (LLM) implementation. The new copilot will allow users to take action on their
business data through a Long Short-Term Memory (LSTM) network analyzing historic sales records and providing the revenue
forecasts. Groq's LLM provides natural language querying for data; FastAPI supplies back-end application services; and Streamlit
provides an interactive front-end dashboard integrating all trends, predictions, and conversational insights into one location.
Comparative analysis shows that actual revenues reported during the same periods as generated forecasted revenues have been
consistently accurate and have provided significant delays in deriving either of those insights from historical sales records.
Combining deep learning predictive models with conversational AI represents a meaningful technological leap for all BI
applications available today