Edinburgh Napier University

  IBM has embraced Artificial Intelligence (AI) as a key driver in transforming its project management processes, focusing on enhancing efficiency, collaboration, and decision-making across its global operations. The adoption of AI tools, such as IBM Watsonx, alongside integrated platforms like Slack, Trello, and Asana, has enabled the organisation to streamline tasks, automate scheduling, and improve resource allocation. The integration of AI has led to significant cost savings and improved project outcomes. However, the implementation of such advanced technologies also presents challenges, including workforce resistance, data privacy concerns, integration difficulties, and ethical implications.
This case study explores IBM's AI-driven project management initiatives, encouraging students to assess the associated risks and develop effective risk management strategies to address these challenges. By analysing IBM's approach, students will gain insights into the broader implications of AI adoption in business and project management.