In questo episodio vediamo meglio cos’è Data Cloud con l’aiuto di Luca Miglioli, un Solution Architect che ha preso parte al primo progetto di implementazione italiano di Data Cloud.
Insieme a Luca capiamo cos’è Data Cloud, cosa non è, quali sono i suoi punti di forza e alcuni consigli da chi l’ha già implementato per dare quel tocco in più che non troverete da nessun’altra parte 😎
Spoiler: il Team si allarga per mettere ancora più energia nei contenuti che ci chiedete e nell’episodio vi diremo con chi 👂
Inoltre Enrico lancia un concorso a premi e inaugura l’angolo delle letterine 🤩📧
Missed the two-day event packed with the latest from the Salesforce world?
Worry not!
Here’s a summary of all the important announcements!
Einstein Copilot — the new application that enables natural language interaction with Generative AI on Salesforce is finally GA! Configurable, customizable, and integrable with any data or automation present on the platform (Flow, Apex, etc.), this virtual assistant can be integrated into any business process and assist users in every operation.
Einstein 1 Studio — a set of low-code tools becomes available that allows you to customize Generative AI capabilities on your CRM. In particular, Einstein 1 Studio includes features such as, in addition to the Einstein Copilot Builder, Prompt Builder for creating and activating custom prompts (text-based instructions) in your workflow, and Model Builder, where users can create or import a variety of AI models to their liking.
Data Cloud — from an AI perspective, not only will the solution’s architecture be expanded with the implementation of a new feature called Vector Database, which will allow you to unify unstructured or non-structured data (such as PDFs, images, emails, etc.) within your CRM and make them available to train Einstein AI, but you will also be able to bring your own AI model or integrate it with an existing one thanks to the BYOM (Bring Your Own Model) functionality, thus bringing data from external systems as well. Thanks to the ability to manage access to Data Cloud metadata and data through Data Spaces, it is now possible to integrate the latter more easily with the CRM using fields and related lists directly from Data Cloud, in addition to the ability to materialize a certain subset of data through Data Graph to make it available in real-time for queries and other operations.
