215: The Future of AI with Salesforce's Einstein 1 Studio & Data Cloud featuring Danielle Larregui

Join us as we welcome the Data Cloud Queen herself, Danielle Larregui. Get ready to witness the groundbreaking power of Einstein 1 Studio as Danielle unveils its transformative capabilities within the Salesforce Data Cloud. Discover how developers can effortlessly create AI models using a no-code or low-code approach directly with their Data Lake data. We'll explore the practicality of generating predictions, integrating external AI platforms, and leveraging built-in tools for assessing prediction accuracy. Brace yourself for the standout feature of 'Bring Your Own Model,' which allows seamless, real-time data sharing without the need for ETL processes. We'll discuss the availability of Snowflake's integration and the potential that lies with Google BigQuery. Imagine how these integrations can revolutionize your external data management, from segmentation to identity resolution. Stay tuned to learn how Data Cloud Enrichment could further enhance your Salesforce CRM by leveraging the power of Data Cloud data. Show Highlights: Introduction of Einstein 1 Studio and Model Builder within Salesforce Data Cloud for creating AI models using no-code or low-code approaches. How the "Bring Your Own Model" feature enables real-time data sharing with Salesforce Data Cloud without ETL processes. How Data Cloud Enrichment allows Salesforce CRM records to be updated with Data Cloud data. Remote Data Cloud, which could unify data management for organizations with multiple Salesforce instances. Ability to use predictions made by AI models in Salesforce flows, Apex classes, and reporting within Data Cloud. Links: Bring Your Google Vertex AI Models To Data Cloud - Use Model Builder to Integrate Databricks Models with Salesforce -

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215: The Future of AI with Salesforce's Einstein 1 Studio & Data Cloud featuring Danielle Larregui is an episode from Salesforce Developer Podcast by Joshua Birk.

This episode is 17:13 long.

This episode was published on Mar 19, 2024.

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