Democratizing Machine Learning

Arun discusses the evolution of machine learning from an academic pursuit to a critical business necessity, highlighting the pressing need for improved usability and scalability. He draws parallels with the database community, emphasizing the importance of simplifying the ML lifecycle—from data sourcing to model deployment—to enhance both human and system efficiency.