A roadblock to scale: the global sprint towards AI, a study of 4,514 senior business decision-makers with some knowledge/influence over their company’s IT decisions, reported that there is a skills gap that represents a significant roadblock to broad business deployment of AI. The executives also said data silos hinder progress in AI projects.
The study, conducted by Morning Consult for IBM, showed that 37% of the executives surveyed are concerned that limited AI expertise or knowledge is hindering successful AI adoption at their businesses. Other barriers cited include increasing data complexities and silos (31%) and lack of tools for developing AI models (26%).
Globally, 22% of the survey’s respondents said they are not currently using or exploring the use of AI. But professionals whose companies are currently deploying AI are much more likely to report investment across the board.
Globally, 78% of the executives surveyed said it is very or critically important that they can trust that their AI’s output is fair, safe and reliable. Explainable AI was high on the agenda for 83% of global respondents.
Rob Thomas, general manager at IBM Data and AI, said: “Based on our interactions and the results of this study, we expect to see organizations not only adopt AI, but scale it across their enterprises, by building/developing their own AI, or putting ready-made AI applications to work.”
In 2018, the Michael Dukakis Institute for Leadership and Innovation (MDI) established the Artificial Intelligence World Society (AIWS) and invited participation and collaboration with think tanks, universities, non-profits, enterprises, and other entities that share its commitment to the constructive and development of AI.
The original article can be found here.