Abstract:
In this presentation, Juan will be displaying the use of Agentic AI in order to automate the analysis of structured and semi-structured financial data to quantify the concentration of banking over the last 20 years in the U.S. You will explore:
- Using Langchain to develop graphs/plots from dynamically changing financial data (consolidated assets of large commercial banks).
- Using CrewAI as the agentic system framework to automate the process of developing comprehensive news analysis reports on the Big Four banks in the U.S.
- The ETL data engineering process of web scraping the Federal Reserve to manage visualizing/analysis readily available financial data for AI embedding.
Following the 30-minute presentation, Juan will be guiding the audience in the development of a financial agentic system for the 45-minute workshop component of the meetup. Bring your laptop if you'd like to participate!
Software engineering topics: Agentic Systems; AI Agents; Data Science; Data Engineering, Web Development Frameworks; Deployment Cloud Technologies
About the Speaker
Juan Torres is a Data Scientist & Data Engineering in the financial industry, specializing in the productionalizing AI agentic systems to automate data analysis. Juan's background is in strategic campaign research in the labor movement. Now, he services Taft-Hartley pensions funds and unions by implementing data science, engineering, and AI solutions to automate the generation of strategic insights through his agency Statica Flux. .
