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The proliferation of AI is poised to transform the skills needed to reach the corner office, reshaping how leaders approach decision-making, strategy, and organizational dynamics.
Artificial intelligence engineering (AI engineering) is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions.
AI is expected to lead to changes in the skills required of workers, requiring training of existing workers, flexibility, and openness to change. [1] The requirement for combining conventional expertise with computer skills may be challenging for existing workers. [9] Over-reliance on AI tools may lead to deskilling of some professions. [14]
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 ...
In 1960, AI pioneer Norbert Wiener described the AI alignment problem as follows: . If we use, to achieve our purposes, a mechanical agency with whose operation we cannot interfere effectively ... we had better be quite sure that the purpose put into the machine is the purpose which we really desire.
At the end of May, GPU giant Nvidia reported blockbuster sales numbers that reflected the company's massive new demand for the chips that power artificial intelligence (AI) applications. The news ...