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About

Avanika Narayan is a leading researcher at the intersection of artificial intelligence and enterprise systems, best known for her foundational work on large-scale AI models. As a co-author of the seminal report "On the Opportunities and Risks of Foundation Models" (2021), which has garnered over 2,100 citations, she helped define the paradigm shift toward models like BERT, DALL-E, and GPT-3—systems trained on broad data at scale and adaptable to countless downstream tasks. This work established the conceptual framework for understanding both the transformative potential and the critical limitations of these models. More recently, Narayan has turned her attention to a grand challenge in data management: automating enterprise workflows. In her 2024 paper "Automating the Enterprise with Foundation Models," she outlines how foundation models could unlock $4 trillion in annual productivity gains, moving beyond traditional process mining and robotic process automation toward end-to-end automation. Her research bridges cutting-edge AI with practical, high-impact applications, making her a pivotal voice in shaping how intelligent systems will transform industries.