The “2024 Work Trends Index” report jointly released by Microsoft and LinkedIn pointed out that the use of generative AI in work has nearly tripled in the past six months. AI not only redefines daily work patterns, but also makes good use of AI and has become a company’s response. The key to success in the new game is to reshape various industrial fields and accelerate transformation.
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The significant growth in the use of generative AI at work shows the increasing importance of AI technology in the workplace. According to the survey, compared with 75% of the global proportion, as many as 84% of knowledge workers in Taiwan actively use generative AI to assist their daily work. Nearly 80% of AI users use their own. AI tools to work (BYOAI), which is also higher than that of global workers. Proportion. AI users who use their own AI tools (BYOAI) also span all age groups, with the proportion from. Generation Z to baby boomers exceeding 70%. Employees are eager to use AI at work, showing that AI is the key to improving productivity when dealing with repetitive and arduous daily tasks.
In addition to the increasing proportion of employees using forex traders email list AI at work, corporate leaders also attach great importance to AI-related work skills and corporate development. More than 80% of Taiwan’s leaders said they would not hire people without AI skills, much higher than the global figure of 66%. However, although 78% of business leaders in. Taiwan believe that the introduction. How to make good use of. AI and make technology a force to promote enterprise development and optimization is a common challenge for enterprises and workers today. It is necessary to formulate. New strategies to restructure business processes and cope with the new AI situation.
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Li Qian, general manager of Microsoft’s Large Enterprise PTNB Business priorities for the business. The second is technology platform-related strategies, whether companies are ready for AI in aspects such as applications and data platforms. The third is the. AI introduction strategy and customer experience. Whether AI within the enterprise is established systematically and customer-centered. Next is organization, talent and culture. Whether the company has a clear operating model and leadership support, as well as the flexibility to carry out. AI transformation from top to bottom and bottom to top. Finally, there is AI governance. Enterprises must examine whether they have perfected the processes, control and accountability systems and structures for establishing and managing data privacy, security and responsible use of AI.