Modern Automation (A): Artificial Intelligence
This primer is meant to be a field guide to the late 2010s' surge in business use of "Artificial Intelligence" (AI), or enterprise software based in machine learning. First, it provides an overview of the key trends - digitization, connectivity, the continuation of Moore's law, and advancements in machine learning algorithms - which led to the inflection point in adoption of AI. Then, the primer describes the range of use cases of state-of-the-art enterprise AI organized in a taxonomy designed to build generalized understanding of the types of work to which AI can be applied. This knowledge is useful not only to managers looking to best leverage the technology but to those working to manage resulting organizational change and prepare the workforce for transitions into complementary tasks. Finally, key issues and implications of AI adoption are also discussed.
Keywords: artificial intelligence; digitization; connectivity; Computing; future of work; automation; Technology; Technology Adoption; Employment; Management; Information Technology;
Citation:
Kerr, William R., and James Palano. "Modern Automation (A): Artificial Intelligence." Harvard Business School Case 819-084, December 2018. (Revised December 2019.) View Details