Einstein Studio allows customers to design custom predictive models and can work with LLMs to generate content such as automated emails. Once a model is imported, it can be integrated into workflows within Salesforce to generate insights or trigger actions. The tool, which can connect to Amazon SageMaker and allows users to bring their own models, is available starting today.
Key takeaways:
- Salesforce has announced the release of Einstein Studio, a management console that allows customers to import an existing model with zero ETL.
- The solution is aimed at companies with sophisticated data teams that have been building models in other places like SageMaker and want to put those models to work in other contexts.
- Einstein Studio will initially support Amazon SageMaker, with plans to support Google Vertex AI, Databricks, Snowflake and others in the future.
- Customers can design customized predictive models to predict things like product maintenance needs or product recommendations based on customer interest, and can also generate content like automated emails based on the information in the customer record.