How Feature Stores Enable Operational ML
In this webinar with Kevin Stumpf, Co-Founder and CTO at Tecton, we see that getting Machine Learning applications into production is hard. When those applications are core to the business and need to run in real-time, the challenge becomes even harder. Feature Stores are designed to solve the data engineering challenges of production ML applications, tackling four key problems:
- Real-time and streaming data are difficult to incorporate into ML models
- ML teams are stuck building complex data pipelines
- Feature engineering is duplicated across the organization
- Data issues break models in production
