Are you feeling overwhelmed by AI and ML eating the world as a product manager? You’re not alone. I was you, and I trained myself to be able to deliver value using hundreds of ML models in production, and manage a Data Science team, coming from a design background - this list is what helped me.
Guap started as a way to onboard everybody on the AI journey, with no entry cost, no friction by expressing your data science project's progress in terms of a business metric. A tool to monitor your ML progress to everyone. We believe that every data scientist should translate their metrics
Let me tell you a unique story. You’re on the 50th and last floor of a giant building. There are many white shirts and Patek Phillips around the table, no doubt we are at a board meeting. The directors' committee decides that their company should lead the AI innovation
You probably read it multiple times already but according to a recent study, 55% of companies never take their models to production. And that’s only if projects are successful - when others predict that 87% of projects fail. You can blame your data team, but in most cases, unsuccessful
Long story short: because the luxury of doing an AI/ML project for the sake of it no longer exists.