You're facing delays in ML project timelines. How do you keep stakeholders informed and on board?
Machine learning projects are complex and often subject to delays due to their experimental nature. Understanding this, you should keep stakeholders updated with clear, transparent communication. It's essential to manage expectations from the outset, explaining that machine learning (ML) involves iterative processes that may not always adhere to strict timelines. When delays occur, it's your role to inform stakeholders promptly, providing them with the reasons behind the setbacks and the steps being taken to address them. Keeping stakeholders in the loop not only maintains trust but also allows them to adjust their plans accordingly, ensuring that the project continues to have their support.