Data Modeling in FinTech

In this chapter we connect this traditional data modeling and cutting-edge AI technologies implementing DDF concepts. Given the inherent complex nature of FinTech applications and services, AI tools such as chatbot and Co-Pilot and AI Agent are not in position to deliver on the entire FinTech solution or the entire product yet. Hence, the notion of introducing a logical sequence of steps, “stations,” we break down the data modeling and application development process into these “pockets of similar tasks” and narrow down the purpose to use AI Agents. As a result, we introduce the reader to new cutting-edge techniques to use AI tools in this context, following the notion of DDF data flows. At every step, station, of our data modeling process we introduce the reader to pseudocode language to be used to “talk” to the AI agents. This approach adds clarity to prompt engineering and delivers more accurate results while working closely with prediction-based AI tools.