Do you know what happens when AI Strategists and ML Engineers don’t have representation in rooms where decisions are made?
This is what happens👇
➡️ No expectation management- Stakeholders often treat AI as the silver bullet that will solve all their problems.
➡️ Lack of AI Literacy - Stakeholders and decision makers see Data Science and ML as a replacement for Excel.
➡️ No proper workflow - Many companies are still using the Software Dev Lifecycles and SW scrums for AI projects.
➡️ Lack of resources- One of the hardest things to get has always been a GPU!! Sometimes, it seems like convincing decision-makers to spend on a GPU is harder than convincing them to pay for a retreat to the Caribbean! 🏖️
PROBLEM?
You are focusing too much on getting that 1% extra accuracy and not looking at the big picture - the business problem, communication, and domain knowledge.
It’s so easy to get lost in the technical details trying to increase the accuracy of that model by 0.1% but at what cost?
SOLUTION?👇
👉Get a seat at the table!!!!👈
Check out the attached guide to get easy actionable tips on how to get a seat at the table!