How Algorithmic Progress is Driving Progress in Big Data and AI

Watch a thought-provoking 44-minute conference talk from the Big Data Conference 2024 where Harvard CMSA researcher Neil Thompson explores the fundamental role of algorithmic advancement in driving Big Data and AI innovation. Discover how algorithm improvements represent a pure form of innovation by enabling computational tasks to be performed more efficiently with fewer resources. Learn about groundbreaking research tracking and quantifying decades of algorithmic progress, revealing how these clever computational solutions have often surpassed hardware improvements as the primary catalyst for advancement in Big Data and AI technologies.