Critical AI and Data Skills for Project Managers

Project managers need specific AI and data skills to successfully manage AI projects. While traditional project management skills are a good foundation, AI projects require additional expertise. Understanding data is crucial, as it is the heart of AI projects. Project managers should be well-versed in managing data lifecycles, data quality, and data preparation. They also need a good understanding of AI approaches, including model development, model evaluation and testing, and data engineering. Trustworthiness is a key aspect of AI projects, and project managers must prioritize ethical and responsible use of AI. Strong critical thinking skills are necessary to navigate the complexities and trade-offs involved in AI projects.