Measuring success of AI features by Nuno Carneiro

Evaluating the impact of AI-powered features requires new approaches to product analytics and measurement. In this talk, Nuno Carneiro explores the challenges of assessing AI feature success when traditional signals such as explicit feedback and adoption metrics are difficult to capture. Drawing from real-world experience at a leading SaaS platform, this session introduces an AI impact framework designed to measure the effectiveness of AI features and their iterations. Watch to learn how product and data teams can better understand user value, adoption, and long-term impact in AI-driven products. :::::: If you love watching content like this, consider joining us in person at the next event: www.datamakersfest.com 👉 FOLLOW US Instagram:   / datamakersfest   LinkedIn:   / data-makers-fest   Our channel features talks for anyone building products and services with and around data. Subscribe to our channel for videos on Data Science, Machine Learning, AI, Data Engineering, and more. Data Makers Fest videos may be used for non-commercial purposes under a Creative Commons License, Attribution–Non-Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International). To use the talk for other purposes, please contact us at [email protected]. #datamakersfest #datascience #ai #machinelearning #dataengineering