LLMs in Financial Services: Personalized Portfolio Recommendation Engines

Explore the application of Large Language Models (LLMs) in creating personalized portfolio recommendation engines for financial services in this 16-minute talk by Akmal Chaudhri. Learn how to leverage a Kafka stock ticker feed to ingest tick data into a database system, query the data using natural language, and build a simple chatbot with speech-to-text capabilities. Gain insights from Chaudhri's 25 years of IT experience across various roles in Blue Chip companies and Big Data startups. Discover how LLMs can revolutionize financial services by providing highly personalized and efficient investment recommendations.