How to Stop AI Project Failure

In the video ‘How to stop AI project failure! | CXOTalk #840’ by CXOTALK, host Michael Krigsman interviews Sol Rashidi, author of ‘Your AI Survival Guide’ and a seasoned technology executive. The discussion centers on why many AI projects fail and how to ensure their success. Key factors include establishing a clear AI strategy, considering the criticality and complexity of projects, engaging leadership, leveraging existing data investments, and avoiding the ‘shiny object’ syndrome. Rashidi emphasizes the importance of continuous monitoring, human involvement, and overcoming organizational resistance. She challenges the conventional wisdom of selecting use cases based on business value alone, advocating instead for a focus on criticality and complexity. Rashidi also highlights the need for a top-down approach to AI implementation, continuous human oversight, and the importance of not treating AI projects like traditional static software projects. The conversation includes practical strategies for avoiding ‘pilot purgatory,’ where projects get stuck in proof-of-concept stages, and the necessity of aligning AI initiatives with organizational capabilities and goals. The video provides valuable insights for business and technology leaders aiming to navigate the complexities of AI and achieve real-world success.