Post by account_disabled on Dec 19, 2023 23:41:24 GMT -5
To understanding: three-quarters of these companies have identified a business case for AI. Senior executives are leading the organization’s AI initiatives. The biggest hurdles they face are solving the practical problems of developing or acquiring the necessary AI talent, and addressing competing priorities for AI investment. They are also more likely to adapt to the security concerns that come with AI adoption. In contrast, the passive have not yet realized what AI can do for them. They have yet to identify a solid business case that meets their investment criteria. Leadership may not be on board. Technology is a barrier. Many people are not even aware of the difficulty of finding and deploying talent with AI expertise. Exhibit Chart While AI talent limits pioneers, passive players have yet to identify the business case for AI.
Our clustering also revealed subtle differences in understanding between clusters. Business potential: Artificial intelligence has the potential to change the way organizations create business value. Pioneers and researchers are more likely than experimenters and passives to report that their organizations recognize how AI impacts business value. Airbus' Evans reports: There is no value issue; there is Job Function Email List only a value issue. It attempts to solve an in-service problem with one of our aircraft. Impact on the workplace: The ability to integrate humans and machines is a pressing issue. Pioneers and researchers better understand that the presence of machines in the workplace will change behavior within organizations. "What people don't talk about is the integration issue," said the MIT associate professor of aeronautics.
Even if you can develop systems to perform very focused individual tasks for what people are doing today, as long as you can't completely remove people from the process, a new problem arises coordinating work, even between people and these AI systems Communication. And the interaction problem is still a very difficult problem for us and has not yet been solved. Industry context: Organizations operate within a regulatory and industry context; respondents from both experimenter and passive organizations felt their organizations did not understand how AI affects.
Our clustering also revealed subtle differences in understanding between clusters. Business potential: Artificial intelligence has the potential to change the way organizations create business value. Pioneers and researchers are more likely than experimenters and passives to report that their organizations recognize how AI impacts business value. Airbus' Evans reports: There is no value issue; there is Job Function Email List only a value issue. It attempts to solve an in-service problem with one of our aircraft. Impact on the workplace: The ability to integrate humans and machines is a pressing issue. Pioneers and researchers better understand that the presence of machines in the workplace will change behavior within organizations. "What people don't talk about is the integration issue," said the MIT associate professor of aeronautics.
Even if you can develop systems to perform very focused individual tasks for what people are doing today, as long as you can't completely remove people from the process, a new problem arises coordinating work, even between people and these AI systems Communication. And the interaction problem is still a very difficult problem for us and has not yet been solved. Industry context: Organizations operate within a regulatory and industry context; respondents from both experimenter and passive organizations felt their organizations did not understand how AI affects.