Building Conversational Application for Financial Services with Kenneth Conroy - TWiML Talk #61
Research#llm📝 Blog|Analyzed: Dec 29, 2025 08:37•
Published: Nov 1, 2017 14:28
•1 min read
•Practical AIAnalysis
This article summarizes a podcast interview with Kenneth Conroy, VP of data science at Finn.ai, a company developing a chatbot system for banks. The interview focuses on Finn.ai's development of its conversational platform, discussing the requirements and challenges of such applications. A key aspect is the company's transition from a commercial chatbot platform (API.ai) to a custom-built platform leveraging deep learning, word2vec, and other natural language understanding technologies. The article highlights the practical considerations and technical choices involved in building conversational AI for financial services.
Key Takeaways
- •Finn.ai built a conversational platform for banks.
- •They transitioned from a commercial chatbot platform to a custom-built one.
- •The custom platform uses deep learning and natural language understanding technologies.
Reference / Citation
View Original"The interview discusses the requirements and challenges of conversational applications, and how and why they transitioned off of a commercial chatbot platform."