On November 15th, my credit risk analytics course will be available as e-Learning. Send me an email at Bart.Baesens@gmail.com Bart Baesens holds a master's degree in Business Engineering (option: Management Informatics) and a PhD in Applied Economic Sciences from KU Leuven University (Belgium). He is currently an associate professor at KU Leuven, and a guest lecturer at the University of Southampton (United Kingdom). He has done extensive research on data mining and its applications.
Professor Bart Baesens is a professor at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on analytics, customer relationship management, web analytics, fraud detection, and credit risk management. His findings have been published in well-known international journals (e.g. Machine Learning, Management Science, IEEE Transactions on Neural Networks, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Evolutionary Computation, Journal of Machine Learning Research, …) and presented at international top conferences. He is also author of the books Credit Risk Management: Basic Concepts, published by Oxford University Press in 2008; and Analytics in a Big Data World published by Wiley in 2014.
Carl Benedikt is Co-Director of the Oxford Martin Programme on Technology and Employment at the Oxford Martin School, and Economics Associate of Nuffield College, both University of Oxford. He is also a Senior Fellow of the Programme on Employment, Equity and Growth at the Institute for New Economic Thinking in Oxford, and the Department of Economic History at Lund University. His research focuses the transition of industrial nations to digital economies, and subsequent challenges for economic growth, labour markets and urban development. To secure impact for his research outside academia, Carl Benedikt is widely engaged in policy, advisory and media activities. In partnership with Citigroup, he works to help global leaders navigate the rapidly changing world economy.
Washington (AFP) - Are robots coming for your job? Although technology has long affected the labor force, recent advances in artificial intelligence and robotics are heightening concerns about automation replacing a growing number of occupations, including highly skilled or "knowledge-based" jobs. Just a few examples: self-driving technology may eliminate the need for taxi, Uber and truck drivers, algorithms are playing a growing role in journalism, robots are informing consumers as mall greeters, and medicine is adapting robotic surgery and artificial intelligence to detect cancer and heart conditions. Of 700 occupations in the United States, 47 percent are at "high risk" from automation, an Oxford University study concluded in 2013. A McKinsey study released this year offered a similar view, saying "about half" of activities in the world's workforce "could potentially be automated by adapting currently demonstrated technologies."