Reducing Student Loans with Bot-Powered Humans

William Falcon | NextGenVest


Learn how NextGenVest is using deep learning to scale human advice over SMS to help Gen Z reduce student loan burdens. Despite the average college graduate owing $37,000 in student loans, they leave $2.7 billion in free money unclaimed because they do not have access to guidance. 
In this talk we’ll start with an overview of state-of-the-art chatbot models and explore their benefits and limitations. This first part will aim to bridge the gap between research state-of-the-art and business practicality. We’ll proceed with a technical overview of our neural-network based model, reward function and design choices from both a technical and business perspective.
We’ll end by showing performance in the wild through our real-time SMS chats and our impact on the broader education system compared to ongoing DOE efforts. We’ll end with a brief discussion about using human-first bots and why AI-assisted human interactions should be human-first.

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william falcon

Co-Founder & ResearcherNextGenVest

William Falcon is Co-founder & CTO at NextGenVest. He’s also a researcher focused in Deep Learning and Computational Neuroscience at Columbia University under the supervision of Liam Paninski. Before becoming a researcher, he was a software Engineer at Goldman Sachs, iOS lead at Bonobos and spent the first few years of his professional career undergoing US Navy SEAL training.  He’s passionate about using AI for impact and to make education more accessible.