Driving ML Data Quality with Data Contracts

This talk explains how data contracts can improve the quality and reliability of data used for machine learning. It describes how data consumers and data generators can work together to define useful data and support ML models and other data-driven products.

Syllabus

[] Musical introduction to Andrew Jones
[] Andrew's background
[] Driving ML Data Quality with Data Contracts
[] GoCardless
[] The Key ML Models at GoCardless
[] Data is critical to a model's performance
[] The data platform at GoCardless in 2021
[] Ultimately, we believe that data is of poor quality
[] There must be a better way...
[] What is good quality data
[] An API for data?
[] Introducing data contracts
[] What is data contract?
[] An example data contract
[] Isolated GCP projects
[] It's not really about the implementation...
[] Align on the problem
[] Work out how best to solve it for us
[] Change the data culture
[] Our data has value