When small and medium-sized enterprises introduce AI, a phased approach is important. First, start by gaining the understanding and support of management. It is important to explain the benefits of AI and position it as a long-term strategy. Next, conduct a current situation analysis and identify the areas where AI can be most effective. For example, identify specific needs, such as automating customer support and optimizing inventory management. It is also important to select reliable partner companies and experts. Consider not only technical capabilities but also sharing the corporate culture. Finally, launch a small pilot project and confirm its success before gradually expanding it. This allows you to demonstrate the effectiveness of AI while minimizing risk. Regular evaluation and improvement even after implementation to respond to the changing business environment will lead to long-term success.
4-2. Career changes and required skills in the AI era
Career development in the AI era requires both technical and non mexico whatsapp number data technical skills. On the technical side, mastering programming languages (especially Python) is essential. Basic knowledge of machine learning and deep learning is also important, and experience using frameworks such as TensorFlow and PyTorch is valued.
Data science skills are also highly valued, and knowledge of statistics and mathematics is required. On the non-technical side, the ability to understand business issues and propose AI solutions is important. Communication skills and project management skills are also essential.
AI implementation roadmap for small and medium-sized enterprises
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