How LLMs Are Transforming Business Processes
techstrong.ai, Friday, April 25th, 2025
Dr. Arthur O'Connor, academic director of data science for the School of Professional Studies at the City University of New York (CUNY) and author of "Organizing for Generative AI and the Productivity Revolution", delves into how advanced reasoning capabilities being added to large language models (LLMs) will profoundly alter business processes as costs continue to rapidly decline.
In this Techstrong AI interview, Mike Vizard speaks with Dr. Arthur O'Connor, academic director for data science at the City University of New York, about the evolving landscape of AI model development, focusing on the recent buzz around DeepSeek.
O'Connor explains that DeepSeek's success shows it's not just about building larger models with massive datasets and expensive GPUs-it's about creativity, smarter data design, and high-quality targeted training.
He points out that distilled models, which are optimized for specific tasks, are gaining traction because they are more efficient, cost-effective, and practical for real-world business applications compared to massive, general-purpose models.