Everyday AI Conference London

5 Ways to Fail at Machine Learning

Jun 20, 2022 | 3:00 PM - 3:25 PM

Description

Despite the hype across tech around data science, It is currently estimated that 80% of machine learning projects fail. There are some large and glaring reasons that this is the case, and here I highlight the biggest. For each I give an example of this failure within my own career, and how I learned to take data and turn it into business value. TL;DR: it’s only when integrated into the product and driving business value that machine learning is successful.