Akmal Chaudhri

OpenAI for FinTech: Building a Stock Market Advisor Chatbot

What if you could query complex stock data just by asking a question? Learn to build a voice-activated FinTech advisor that translates natural language into SQL.

OpenAI for FinTech: Building a Stock Market Advisor Chatbot
#1about 6 minutes

Introduction to building a FinTech AI chatbot

An overview of the tools and agenda for creating a stock market advisor using OpenAI, LangChain, and a vector database.

#2about 7 minutes

Exploring the features of the SingleStore DB platform

A look at SingleStore's distributed architecture, universal storage for OLTP and OLAP, and multi-model capabilities including vector support.

#3about 5 minutes

Applying AI and database technology in FinTech

Discussion of key FinTech use cases like real-time risk analytics and the specific tools used in the demo, including FinBERT and Hugging Face.

#4about 10 minutes

Setting up the database and a real-time data pipeline

A walkthrough of creating a workspace in the SingleStore cloud, defining tables for stock data, and setting up a Kafka pipeline to stream data.

#5about 9 minutes

Querying stock data with natural language using LangChain

Demonstrates how to use LangChain's SQL agent to ask complex questions about stock and sentiment data in plain English.

#6about 9 minutes

Building a voice-activated chatbot with OpenAI Whisper

A live demo of a Python application that uses a local OpenAI Whisper model for speech-to-text to enable voice-based database queries.

#7about 10 minutes

Exploring the future of AI in FinTech

A Q&A session covering the speaker's role, the future of AI, practical applications, and tips for developers entering the AI and FinTech space.

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