To become a vice president of artificial intelligence, one needs to have a combination of technical, business, and leadership skills. On the technical side, a VP of AI should have a strong background in computer science, mathematics, statistics, and engineering, as well as proficiency in various AI domains, such as machine learning, deep learning, natural language processing, computer vision, and robotics. A VP of AI should also be familiar with the tools, frameworks, platforms, and methodologies used to design, develop, test, deploy, and monitor AI solutions, such as Python, TensorFlow, PyTorch, AWS, Azure, Agile, and DevOps. On the business side, a VP of AI should have a solid understanding of the industry and market dynamics, the customer and user needs, the competitive landscape, and the regulatory and ethical standards related to AI. A VP of AI should also have the ability to translate the business objectives into AI solutions, measure and evaluate the impact and return on investment of AI initiatives, and identify and mitigate the risks and challenges of AI adoption. On the leadership side, a VP of AI should have excellent communication, presentation, and persuasion skills, as well as the ability to inspire, motivate, and empower the AI team and other stakeholders. A VP of AI should also have the vision, creativity, and innovation to drive the AI strategy and culture in the organization, as well as the judgment, integrity, and accountability to ensure the ethical and responsible use of AI.