When Things Go Wrong, What and How to Communicate with the Non-AI Leadership?
Last Updated on May 1, 2024 by Editorial Team
Author(s): Mandar Karhade, MD. PhD.
Originally published on Towards AI.
I know he/she does not understand it fully, but here is a message that will help you communicate it better.
Let's call a spade a spade. You are interested in reading this article, which means you are one of the 90% of data scientists who have felt the need to interact with the boss or a leader to let them know they are making a mistake.
Photo by Francisco De Legarreta C. on Unsplash
You are likely the team member who has been scouring the vast expanses of technical and non-technical writeups on Medium, LinkedIn, StackOverflow, and various blogs. You are more aware of the developments. You are young and have an upside to your career. May I say the βonlyβ upside to your career – as you are still considered a Junior or Senior data scientist? You are not burdened with the responsibility of the ultimate success or failure of the project. That allows you to take more risks, make faster decisions, and play the game of trying early> fail early> and ultimately succeed. You believe in your abilities, you are grounded in facts because you know the data, the project, the design decisions, the code, the gotchas! and you know what you are doing, and you are making a case that a certain project will work or not, for which… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.
Published via Towards AI