Einstein Studio (AI Models) Demos - Data Cloud Video Hub

Data Cloud - Partner Enablement

Einstein Studio (AI Models) Demos

11. Displaying predictions in object pages

Episode 11 of the Einstein Studio Demo Playlist focuses on the inferencing side of model deployment in workflows. This episode ...

12. Using predictions as context in agents

This demo provides a detailed walkthrough of how to implement and utilize predictive AI in Data 360. It focuses on consuming pr...

13. Monitoring Live data's quality

Einstein Studio's demo playlist explores the full model lifecycle, with Chapter 13 focusing on monitoring live data quality for...

14. Monitoring Model's drift

This segment focuses on model monitoring within AI, specifically addressing model drift and its significance. It explains how d...

15. Understanding a Model's Lineage

Model Lineage explores how live models interact within dynamic data environments. It highlights the importance of understanding...

16. Building Regression models

Explore the sixteenth episode of the Einstein Studio demo series, focused on building a regression model in Data 360 to predict...

17. Building MultiClass Models

This episode of the Einstein Studio demo focuses on building multi-class machine learning models in Data 360, explaining key di...

18. Building Supervised Clustering models and generating labels

Explore the fundamentals of clustering models in this session of the Einstein Studio demo series. Learn how clustering can iden...

19. Building Forecasting models

This segment of the Einstein Studio demo playlist focuses on forecasting models within predictive AI in Data Cloud. Viewers wil...

20. Building Topic classification and Sentiment models

This segment of the Einstein Studio demo playlist focuses on predictive AI, specifically discussing Topic Classification and Se...