Gartner predicts that through 2022, only 20% of analytic insights will deliver business outcomes. This is attributed to the impediments that technology and business leaders face in moving ML models to production.
The eBook discusses how to effectively approach MLOps using tried and tested methods. Readers will learn more about:
- Implications of large-scale ML models in production
- Debunking myths on productionizing ML models
- MLOps challenges and ways to overcome them
- Case study: How a large QSR giant transformed their customer communication through robust MLOps