Ulysse Bottello

Ulysse Bottello

Applying AI on human problems • Product at tolk • Building @guap_ml • I casually torture myself with deadlifts and research papers.

📍 Paris, France http://ulyssebottello.com

The Role of AI/ML Product Managers in Driving Business Value

As AI and machine learning continue to advance and transform industries, the role of the AI/ML product manager is becoming increasingly crucial in driving business value. These product managers are responsible for defining, building, and delivering AI/ML products that solve real-world problems and provide value to the business

5 Tips for Successfully Managing an AI/ML Product

As an AI Product Manager, you have a unique and exciting opportunity to shape the future of technology. But with great power comes great responsibility – successfully managing an AI/ML product requires a diverse set of skills and a strong strategic vision. Here are five tips to help you succeed:

Become an AI/ML Product Manager in 3 Simple Steps

Are you dreaming of a career as an AI/ML product manager? Good news: it's a totally achievable goal! With the right combination of knowledge, skills, and experience, you can break into this exciting and rapidly-growing field in no time. Here are three simple steps to get you started: Step

20 ways to learn AI/ML Product Management in 2022 (Online courses, Books and more)

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.

How we did guap?

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

Data Scientists: How to get instant buy-in from your org?

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

How to lead your ML team to success?

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

Why guap exist?

Long story short: because the luxury of doing an AI/ML project for the sake of it no longer exists.