Bridging the Gap: The Engineering Reality of Connecting AI to Legacy Infrastructure

Successful AI deployment hinges more on robust data integration than the models themselves, especially when dealing with fragmented legacy systems. Engineering a bridge between old databases and modern LLMs requires a multi-layered approach to extraction and transformation to ensure production reliability.