top of page

Build generative AI–powered Salesforce applications with Amazon Bedrock

Joseph K

This is the fourth post in a series discussing the integration of Salesforce Data Cloud with Amazon Machine Learning and Generative AI services.

In Part 1 and Part 2, we show how Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker’s tools to build, train, and deploy models to endpoints hosted on SageMaker. SageMaker endpoints can be registered with Salesforce Data Cloud to activate predictions in Salesforce. In Part 3, we demonstrate how business analysts and citizen data scientists can create machine learning (ML) models, without code, in Amazon SageMaker Canvas and deploy trained models for integration with Salesforce Einstein Studio to create powerful business applications.






コメント


Featured Posts
Recent Posts
Archive
Search By Tags
Headquarters

1100 106th Avenue NE, Suite 101F
Bellevue, WA 98004
425-998-8505

info@fiduciarytech.com

Seoul Office

Address: Geunshin Building 506-1, 20 Samgae-ro, Mapo-gu, Seoul, 04173, Republic of Korea
02-71
2-2227

info@fiduciarytech.com

map_revised.png

© 2023 by Fiduciary Technology Solutions 

bottom of page