[Salesforce Japan Co., Ltd.] Salesforce, Data
Announcing new innovations that bring trusted data from the cloud to Agentforce *Salesforce Japan Co., Ltd.*
Press release: September 18, 2024
**
Salesforce Announces New Innovations Bringing Trusted Data from Data Cloud to Agentforce
* Salesforce Data Cloud Momentum Soars with Rising Adoption and released in the US
New Innovation That Brings Trusted Data to
This is an abridged translation of Agentforce. The official language of this article is English, which shall prevail for its content and interpretation. *
*Data Cloud paid customers grew 130% year over year, processing over 2 trillion records per quarter*
* From unstructured audio and video content with Data Cloud
Provides insights to Agentforce, enabling more contextual customer interactions based on rich knowledge Data
Cloud provides enhanced policy-based governance to better control how sensitive data is shared with Agentforce agents. AI Tagging
Added and Classification functionality to classify data into categories, as well as Private Connect for Data
Cloud implementation enables secure data sharing with external public clouds*
* Salesforce’s new Datablazers community welcomes IT leaders, developers, and Datablazers.
Cloud enthusiasts stay connected and share insights on the latest data best practices, trends, and tools*
Salesforce (hereinafter referred to as Salesforce) is the heart of the Salesforce platform and the foundation of Agentforce.
Data Cloud It continues to gain momentum. This growth is due to customer Strong business demand for unified data to deliver more personalized, contextual, and timely customer experiences across 360 apps, Flow, Analytics, and Agentforce, Salesforce’s revolutionary suite of autonomous AI agents. is promoted by
Additionally, Salesforce today announced that data and AI
Data
We announced several new Cloud innovations. Specifically, support for unstructured data, including native processing of audio and video content such as webinars and calls, will help you gain deeper customer insights, and enable people and AI agents to consistently process data. Standardized semantic data models that can be interpreted and used to account for customer context, improve search capabilities to enable faster information discovery, and instantly respond to changing customer needs. These include real-time segment activation and added data security and governance features to protect operations and prevent unnecessary data exposure.
Data is the fastest growing proprietary product in Salesforce history with 130% year-over-year paid customer growth
Cloud demonstrated impressive scale in the second quarter alone, processing 2.3 trillion records (up 147% year over year). The Adecco Group
(English), Aston Martin
Companies such as (English) use Data Cloud every day to strengthen customer relationships, increase productivity, and improve revenue. Especially Air India
(SSOT) is a single source of truth (SSOT) that integrates data across member services, reservation systems, and flight systems to process over 550,000 inquiries each month.
We use Data Cloud as our single source of truth.
* Salesforce perspective: *
“In the new era of AI and AI agents, customer data and metadata are new assets for enterprises. Data on everything from interactions and product usage to IoT and social media data.
It is integrated with Cloud. Data
Cloud is the foundation of Salesforce, so businesses can act on data and create the most personalized and meaningful customer experiences.” Rahul Auradkar, EVP & GM, Unified Data Services & Einstein, Salesforce
*Data Cloud Customer 360 Agentforce: *Data Cloud supports Salesforce Customer
All 360 applications, Agentforce
(English), Analytics
Enable reliable customer data with. Build a foundation for
personalized customer experiences and real-time analytics to trigger data-driven actions and workflows to power secure AI across all Salesforce apps.
Zero-copy technology
Connectors enable Data Cloud to become a data lake
You can retrieve data from hundreds of diverse data sources, including data warehouses and data warehouses. Built-in vector database Accounts for 90% of corporate data
However, unstructured data such as PDFs, texts, calls, and voicemails that are often left unused can be transformed into actionable data and integrated with structured data. Create comprehensive customer profiles and store them as metadata in your unified data foundation. Salesforce Platform
Fully integrated into , this metadata can be seamlessly ingested into any Salesforce application based on set governance policies. This gives every team access to a 360-degree customer view, powers reliable AI, and drives automation and analytics at every touchpoint without compromising data security.
Data
Cloud provides the critical customer data that underpins Agentforce, enabling AI agents to be more aware, knowledgeable, and adaptable to customer needs. For example, a dissatisfied customer
Einstein Service Agent
Retrieval-Augmented Generation (RAG) built into Data Cloud if you contact
Features add real-time insights and business context from historical emails, support inquiries, product images, voicemails, and other data sources defined in governance policies to help Agentforce better understand customer complaints We will support you as follows. Next, Data
Cloud’s hybrid search capabilities help Agentforce accurately resolve issues by identifying the right knowledge material based on the customer’s context.
As customer requests change, Data
Cloud guides Agentforce on the best next steps. Examples include automating follow-up emails and handing off detailed chat summaries to human agents. Finally, Tableau
Semantics enables AI and employees to converse, understand, and manipulate the same data definitions, facilitating a seamless transition between AI agents and people.
Data Cloud is the heart of the Salesforce platform and brings data to every Salesforce feature.
New features and enhancements: Data
Cloud customers now have new capabilities and enhancements that enable them to access and execute data across all Salesforce features.
* Supports processing of unstructured audio and video content: * * 90% of enterprise data*
is locked in unstructured formats, allowing businesses and AI to access customer data from previously inaccessible audio and video sources, such as customer calls, training data, product demos, feedback surveys, voicemails, and webinars. can now be analyzed and extracted. This newly searchable content enriches customer profiles, uncovers the deeper intent behind customer preferences and actions, and improves Agentforce accuracy.
For example, by analyzing recordings of sales calls, sales teams can identify common negative responses and hone their pitches to effectively address them, leading to higher conversion rates.
* Expanding the Data Cloud ecosystem: * Open and extensible Data Cloud foundation with additional pre-built Data Cloud connectors such as Square, Stripe, Meta, Splunk, etc.*
(in English) allows businesses to bring their own data to the table by leveraging a rapidly expanding ecosystem of connectors for data lakes, data warehouses, and third-party systems. Also, *
MuleSoft Direct for Data Cloud*
Google Drive, Microsoft
SharePoint, Confluence, Sitemap to Data Cloud
You can also ingest unstructured data. This allows data to be captured, integrated, and used in the user experience provided by AI agents, whether from internal or external systems.
* Sub-second real-time layer: * * 62% of IT leaders *
(English) points out that real-time data is needed to maintain a competitive edge, and companies are using Salesforce to capture, integrate, analyze, and act on data in real-time. It is now possible to move. This allows the Data
*Einstein Personalization* Built on the Cloud
is powered with real-time AI recommendations, analytics, and automation to enable instant personalization and faster
decision-making across customer touchpoints.
For example, a support representative working with a customer who has an equipment issue might use the *Service Cloud*
You can access real-time sensor data, recent maintenance records, and past support calls directly within the app. If a sensor on your equipment stops sending data, alerts are sent to your personnel so they can quickly diagnose the problem and recommend targeted solutions to minimize downtime.
* Governance and security for trusted data and AI: *
These new capabilities help you manage structured and unstructured data across AI applications and platforms to protect your operations, manage governance at scale, and prevent data loss while using AI. and improve protection and share in a more secure way.
*AI tagging and classification*
automates the labeling and organization of unstructured data according to business policies. Data is consistent, governance is easier to apply, and data can be easily searched and analyzed by both AI and users.
*Policy-based governance*
enables access governance at scale by creating granular security policies that grant appropriate access to groups of users based on tags, metadata, user attributes, and more. This simple experience allows users, including AI, to access only the data they are authorized to see across the platform.
*Customer-managed keys*
enables businesses to manage their own encryption keys, ensuring that data is encrypted and secure regardless of the environment in which it is used.
*Private Connect for Data Cloud*
It enables you to securely share and integrate data by establishing a secure network connection directly between your Cloud and public cloud environments. This allows data to be securely shared across network boundaries without compromising data integrity.
*Tableau Semantics:*
Companies can organize data based on its meaning and relationships, creating standardized semantic models that allow everyone to understand, use, and act on the data, regardless of its origin.
For example, hospitals can standardize departmental data so that all patient test results, X-rays, doctor’s notes, etc. are linked, regardless of how they are written (abbreviations, typos, synonyms, etc.). They can be understood in the same context.
*Hybrid search:*
By combining the semantic capabilities of vector search with the exact match capabilities of keyword search, companies can search their knowledge base for the most relevant information. This is an important feature when working with specific domain terms such as product names or abbreviations. This makes finding information faster and easier across all media, including PDFs, images, audio, and video.
For example, Agentforce can use a part number in an image a customer sends to find knowledge articles related to that product category to help support agents resolve customer issues faster. You can.
*Data Cloud One:*
Companies can connect multiple Salesforce organizations that may be siled across different departments, regions, or business units and use code-free point-and-click configuration to
You can now extend all the capabilities of Cloud to all your Salesforce instances. This ensures a single source of truth (SSOT: Create a Data Cloud instance with a new Data Cloud instance for each organization (Single Source of Truth).
Share data, automate, computed insights, and other actions across all your Salesforce organizations without creating a cloud.
For example, a sales leader who wants to enrich opportunities with a 360-degree view of their customers might have their team write custom code to share data across multiple Salesforce organizations. There is no longer a need to integrate Cloud data. Instead, a single data hub Cloud now brings that functionality to each organization, allowing you to seamlessly enrich your sales profile across all your Salesforce organizations.
* New Data Community: * Salesforce supports IT and business leaders, developers, Data
New *Datablazer Community*, an online platform that connects Cloud enthusiasts
(English) was also announced. This community provides an opportunity to stay informed, share insights, and learn about the latest best practices, trends, and tools to maximize the value of your data.
Availability: New innovations will be available as pilots, betas, or generally available during the time periods listed below.
– * Currently available: *
-Customer Managed Keys is now generally available.
・Sub-Second Real-time Layer is now generally available and sub-second real-time profiles
Can be enabled through add-on consumption SKU.
・MuleSoft Direct for Data
Cloud is scheduled to be released in beta version (English environment only) in late September 2024, and to use MuleSoft Anypoint Platform license required.
・The complete list of generally available and beta pre-built connectors can be found in the *Data Cloud Connectors Directory* (available in English).
– *Available starting in October 2024:*
– Support for processing unstructured audio and video content, currently available in pilot, is now generally available (English environments only).
・Data Cloud One is now generally available.
– *Available starting in November 2024:*
・Hybrid search, currently available as a pilot version (English environment only), will be generally available.
・AI Tagging and Classification will be provided as a beta version. ・Policy-Based Governance is provided as a beta version.
・Private Connect for Data Cloud is generally available.
– *Available in February 2025:*
* ・* Tableau Semantics, currently available as a pilot, is now generally available. Support in Japanese is undecided.
*Detailed information:*
– Data Cloud customer cases * here *
(English).
– Data Governance for the AI Enterprise *Click here*
Join the community.
– Learn more about Wyndham’s faster reservation process with Data Cloud *Click here*