Core Cloud Announcements Data Cloud Deliver customer success through Data Cloud. This session highlighted how Salesforce’s Data Cloud technology centralizes and uni昀椀es customer data, o昀昀ering businesses a 360-degree view of their customers and enhancing customer engagement. Speakers, including FedEx executives, emphasized the role of AI in streamlining the sales process and the importance of secure, harmonized data. They discussed the challenges of fragmented data and how Data Cloud's seamless integration, including unstructured data like text and audio, overcomes these issues. With prebuilt connectors and APIs, Data Cloud is transforming businesses by driving personalized cus- tomer experiences and more e昀케cient operations. With our new innovations, customers can: Unlock unstructured audio and video content: Analyze and extract customer data from customer calls, training sessions, product demos, feedback surveys, voicemails, and webinars. With 90% of customer data trapped in unstructured data, the content, now searchable, enriches customer pro昀椀les, reveals deeper intent behind customer preferences and behaviors, and improves Agentforce’s accuracy. Harmonize and unify more data from wherever customers interact: Maximize value of all enterprise data with new Data Cloud connectors from 200+ total external data sources. Get unstructured data from knowledge repositories with MuleSoft Direct for Data Cloud integrations. Introducing policy-based data governance and security for trusted data and AI: To safeguard operations, manage governance at scale, and prevent exposure to unauthorized parties while using AI, we are introducing in beta AI-based tagging and labeling, and policy-based governance. Get relevant, tailored search results with Semantic & Hybrid Search: Find the most relevant information in the company’s knowledge base faster by combining semantic search with keyword search. Ground AI with unstructured data using no code retrievers: Set up pipelines and RAG queries in Data Cloud, using point-and-click tools for grounding on enterprise unstructured data for AI. Improve customer experiences with sub-second real-time layer: Ingest, analyze, and act on real-time data to instantly respond to changing customer needs. Employ no-code creation of a single Data Cloud instance with Data Cloud One: Connect multiple Salesforce orgs with consistent metadata that may be siloed; extend all of Salesforce Platform and Data Cloud actions and functionality with consistent metadata across all Salesforce instances with clicks, not code. Deliver business-context aware analytics with Tableau Semantics: Create a standard semantic model, ensuring all users (including AI) interpret and use data consistently. Customer-managed keys: Used for Data Cloud encryption to allow organizations to manage their own encryption keys, ensuring data stays encrypted and secure regardless of how it’s used. 12