Sushil Thomas

Sushil Thomas, VP of Engineering for Machine Learning at Cloudera, shares his insights on scaling enterprise ML amidst the challenges posed by the COVID-19 pandemic. He discusses how businesses have adapted decision-making processes and the growing reliance on data for effective strategies. Sushil highlights key trends in hybridizing ML engineering and scientific exploration while navigating organizational models for talent retention. His experiences from a recent roundtable reveal practical approaches to overcoming obstacles in machine learning deployment.