How to succeed with AI augmentation

• Main Authors: DAVENPORT, Thomas H., MILLER, Steven M.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Artificial intelligence; labor; work application; AI application; Artificial Intelligence and Robotics; Human Resources Management; Technology and Innovation
• Online Access: https://ink.library.smu.edu.sg/sis_research/7490; https://sloanreview.mit.edu/video/how-to-succeed-with-ai-augmentation/
• Institution: Singapore Management University

For all the remarkable things that machine learning and advanced analytics can do, there are scores of things that AI-enabled machines still can’t do — at least not reliably enough on their own in the real world of business. That doesn’t mean you can afford to wait to take advantage of AI. Rather, i...