The authors provide an AI readiness spectrum checklist, which includes questions about an organisation's ability to inventory projects, gather and structure data, abandon old management habits, invest in staff training, and tolerate mistakes. They argue that organisations must be willing to evolve and learn how to use AI to its full advantage. The authors conclude that the future of project management lies in AI and machine learning models, and the key question is not whether to adopt AI, but whether an organisation is willing and ready to do so.
Key takeaways:
- AI has the potential to significantly improve project outcomes and management, but many organisations are not ready to implement it due to misunderstandings about the technology and cultural resistance.
- Data is crucial for AI readiness, and organisations must be prepared to gather, clean, and structure large amounts of data to train machine learning models effectively.
- Antonio Nieto-Rodriguez and Ricardo Viana Vargas have created an AI readiness spectrum checklist to help organisations assess their readiness for AI implementation, considering factors such as willingness to change management habits, investment in staff training, and patience for long-term transformation.
- Organisations must undertake a process of self-assessment to determine their readiness for AI, with the potential payoff being a leading position in AI adoption.