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Executives from Nvidia and Verizon discussed how the industry is leveraging AI in a keynote session Tuesday at the mobile communications trade show Mobile World Congress Las Vegas.
Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...
HP Inc. CEO Enrique Lores sees big changes ahead to the business work as AI advances. ... And it's going to be really shifting the world from doing things to interpreting things, to really working ...
However, major and rapid organizational change is profoundly difficult because the structure, culture, and routines of organizations often reflect a persistent and difficult-to-remove "imprint" of past periods, which are resistant to radical change even as the current environment of the organization changes rapidly.
[98] [99] Because AI is a major factor in singularity risk, a number of organizations pursue a technical theory of aligning AI goal-systems with human values, including the Future of Humanity Institute (until 2024), the Machine Intelligence Research Institute, [96] the Center for Human-Compatible Artificial Intelligence, and the Future of Life ...
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For AI research, Searle's "weak AI hypothesis" is equivalent to the statement "artificial general intelligence is possible". Thus, according to Russell and Norvig, "most AI researchers take the weak AI hypothesis for granted, and don't care about the strong AI hypothesis."
Change methodologies include Peter Senge's concept of a "learning organization" expressed in The Fifth Discipline or Directive Communication's "corporate culture evolution". Changing culture takes time. Members need time to get used to the new ways. Organizations with a strong and specific culture are harder to change. [68]