Dr. Eric Siegel – A renowned author of “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die,” Siegel is a leading figure in the field. He’s the founder of the Predictive Analytics World conference series and a former computer science professor at Columbia University.
Dr. Dean Abbott – As the Co-Founder and Chief Data Scientist of SmarterHQ, Abbott’s contributions to data preparation, visualization, and advanced modeling techniques have been pivotal. He’s the author of “Applied Predictive Analytics” and frequently speaks at analytics conferences.
Dr. Hilary Mason – A data scientist and entrepreneur, Mason was the Chief Scientist at Bitly and co-founded Fast Forward Labs, a machine learning research company. Her insights into the practical applications of predictive analytics are invaluable.
Nate Silver – Known for his accurate political forecasting and the founder of FiveThirtyEight, Silver leverages predictive analytics in the realm of politics, sports, and more, emphasizing the importance of both statistical and subjective components.
Dr. Kira Radinsky – Radinsky has made headlines for her work in developing a software capable of predicting global events, from disease outbreaks to political riots, by analyzing news articles and historical data.
Bernard Marr – An internationally bestselling author, keynote speaker, and futurist, Marr’s work often delves into the practical applications of predictive analytics in various business contexts. His books, such as “Data Strategy”, are crucial reads for anyone interested in data-driven decision making.
Dr. Usama Fayyad – A data mining and data science pioneer, Fayyad was Microsoft’s first-ever Chief Data Officer and holds over 30 patents. His insights into the future of predictive analytics and its implications are indispensable.
Dr. Vincent Granville – With a background spanning from post-doctoral work in statistical genetics to being a Senior Data Scientist at Visa, Granville co-founded Data Science Central, a resource hub and community for data practitioners.
Dr. John Elder – Founder of Elder Research, a top data science consultancy firm, Elder’s expertise in data mining and predictive analytics has been tapped by various organizations, from government agencies to Fortune 500 companies.
Dr. Andrew Ng – While Ng is broadly recognized for his work in machine learning and co-founding Google Brain, his teachings and research often intersect with predictive analytics. As a Stanford professor and co-founder of Coursera, he’s made advanced analytics accessible to a global audience.
