In this episode of the podcast, Ben Lorica interviews Josh Pantony, CEO of Boosted AI, about the company's AI-powered terminal, Alpha, designed for finance professionals. Josh explains how Alpha differs from traditional generative AI by creating agents that learn and perform tasks repeatedly, such as summarizing earnings calls or extracting financial metrics. They discuss the importance of auditability and determinism in AI models for finance, addressing concerns about reproducibility and reliability. The conversation covers the use of multi-modality to incorporate various data sources like podcasts and videos, and the role of reasoning in providing high-quality, timely information. Josh shares use cases of Alpha, including key financial metric extraction, email monitoring, and deep-dive video analysis, and also touches on the model architecture, emphasizing a blend of internal and external language models optimized for finance-specific tasks. He also shares his vision for the future, including in-body AI and AI companions.
Sign in to continue reading, translating and more.
Continue
