Salesforce Data Cloud Momentum Soars with Rising Adoption and New Innovation That Brings Trusted Data to Agentforce
Salesforce (NYSE: CRM) reports significant growth for Data Cloud, with a 130% year-over-year increase in paid customers. The platform processed over 2 quadrillion records per quarter, marking it as Salesforce's fastest-growing organic product. New innovations include:
1. Support for unstructured audio and video content
2. Expanded connectivity ecosystem
3. Sub-second real-time data layer
4. Enhanced governance and security features
5. Tableau Semantics for standardized data models
6. Hybrid search capabilities
7. Data Cloud One for connecting multiple Salesforce orgs
These enhancements aim to improve customer experiences, boost AI capabilities, and strengthen data management across the Salesforce ecosystem.
Salesforce (NYSE: CRM) riporta una significativa crescita per Data Cloud, con un aumento del 130% dei clienti paganti rispetto all'anno precedente. La piattaforma ha elaborato oltre 2 quadrilioni di record per trimestre, rendendola il prodotto organico a crescita più rapida di Salesforce. Le nuove innovazioni includono:
1. Supporto per contenuti audio e video non strutturati
2. Ecosistema di connettività ampliato
3. Strato di dati in tempo reale a sub-secondo
4. Funzionalità avanzate di governance e sicurezza
5. Semantica Tableau per modelli di dati standardizzati
6. Capacità di ricerca ibrida
7. Data Cloud One per connettere più organizzazioni Salesforce
Questi miglioramenti mirano a migliorare le esperienze dei clienti, potenziare le capacità di intelligenza artificiale e rafforzare la gestione dei dati in tutto l'ecosistema Salesforce.
Salesforce (NYSE: CRM) informa sobre un crecimiento significativo de Data Cloud, con un aumento del 130% en clientes de pago en comparación con el año anterior. La plataforma procesó más de 2 cuatrillones de registros por trimestre, lo que la convierte en el producto orgánico de más rápido crecimiento de Salesforce. Las nuevas innovaciones incluyen:
1. Soporte para contenido de audio y video no estructurado
2. Ecosistema de conectividad ampliado
3. Capa de datos en tiempo real de menos de un segundo
4. Funciones mejoradas de gobernanza y seguridad
5. Semántica de Tableau para modelos de datos estandarizados
6. Capacidades de búsqueda híbrida
7. Data Cloud One para conectar múltiples organizaciones de Salesforce
Estas mejoras buscan mejorar la experiencia del cliente, potenciar las capacidades de inteligencia artificial y fortalecer la gestión de datos en todo el ecosistema de Salesforce.
Salesforce (NYSE: CRM)는 Data Cloud의 상당한 성장을 보고하며, 지난 해 대비 유료 고객 수가 130% 증가했다고 전했습니다. 이 플랫폼은 분기당 2경 개 이상의 기록을 처리하였으며, 이는 Salesforce에서 가장 빠르게 성장하는 유기적 제품으로 평가됩니다. 새로운 혁신 사항은 다음과 같습니다:
1. 비구조적 오디오 및 비디오 콘텐츠 지원
2. 확장된 연결 생태계
3. 서브초 실시간 데이터 레이어
4. 향상된 거버넌스 및 보안 기능
5. 표준화된 데이터 모델을 위한 Tableau 의미론
6. 하이브리드 검색 기능
7. 여러 Salesforce 조직을 연결하는 Data Cloud One
이러한 개선 사항은 고객 경험을 향상시키고, 인공지능 기능을 강화하며, Salesforce 생태계 전반에 걸친 데이터 관리를 개선하는 것을 목표로 합니다.
Salesforce (NYSE: CRM) rapporte une croissance significative pour Data Cloud, avec une augmentation de 130 % du nombre de clients payants par rapport à l'année précédente. La plateforme a traité plus de 2 quadrillions de dossiers par trimestre, la plaçant comme le produit organique à la croissance la plus rapide de Salesforce. Les nouvelles innovations comprennent :
1. Support pour le contenu audio et vidéo non structuré
2. Écosystème de connectivité élargi
3. Couche de données en temps réel de moins d'une seconde
4. Fonctionnalités de gouvernance et de sécurité améliorées
5. Sémantique de Tableau pour des modèles de données standardisés
6. Capacités de recherche hybride
7. Data Cloud One pour connecter plusieurs organisations Salesforce
Ces améliorations visent à améliorer l'expérience client, à renforcer les capacités d'intelligence artificielle et à solidifier la gestion des données au sein de l'écosystème Salesforce.
Salesforce (NYSE: CRM) berichtet von einem signifikanten Wachstum für Data Cloud, mit einem 130% Anstieg der zahlenden Kunden im Jahresvergleich. Die Plattform verarbeitete über 2 Billiarden Datensätze pro Quartal und wurde damit zum am schnellsten wachsenden organischen Produkt von Salesforce. Zu den neuen Innovationen gehören:
1. Unterstützung für unstrukturierte Audio- und Videoinhalte
2. Erweitertes Konnektivitäts-Ökosystem
3. Sub-Sekunden Echtzeit-Datenschicht
4. Verbesserte Governance- und Sicherheitsfunktionen
5. Tableau-Semantik für standardisierte Datenmodelle
6. Hybride Suchfähigkeiten
7. Data Cloud One zur Verbindung mehrerer Salesforce-Organisationen
Diese Verbesserungen zielen darauf ab, die Kundenerfahrung zu verbessern, die KI-Fähigkeiten zu erweitern und das Datenmanagement im gesamten Salesforce-Ökosystem zu stärken.
- 130% year-over-year growth in paid customers for Data Cloud
- Processed 2.3 quadrillion records (+147% YoY) in Q2
- Introduction of new features to support unstructured data and improve AI capabilities
- Expansion of Data Cloud connectivity ecosystem with new pre-built connectors
- Implementation of sub-second real-time data layer for faster decision-making
- Enhanced governance and security features for better data protection
- None.
Insights
Salesforce's Data Cloud is showing impressive growth, with a
The introduction of sub-second real-time data processing is important in today's fast-paced business environment. It enables instant personalization and rapid decision-making, which could give Salesforce users a competitive edge. The expanded connectivity ecosystem and improved governance features also address key concerns in data management and AI implementation, potentially making Data Cloud more attractive to enterprises with complex data environments or strict regulatory requirements.
The
The integration of Data Cloud with Agentforce positions Salesforce well in the competitive AI market. By providing a unified data foundation for AI applications, Salesforce is creating a sticky ecosystem that could increase customer retention and upsell opportunities. The new Datablazer community could also foster user engagement and loyalty, potentially reducing churn and driving organic growth through community-led innovation.
While specific financial figures aren't provided, the
Investors should note that the continuous innovation and feature additions to Data Cloud likely require significant R&D investment. While this may pressure short-term margins, it's essential for maintaining Salesforce's competitive position in the rapidly evolving enterprise software market. The strong customer testimonials from major brands suggest that Data Cloud is delivering tangible value, which could translate into sustained demand and pricing power for Salesforce in the long term.
Data Cloud saw
Data Cloud can now surface insights from unstructured audio and video content to Agentforce, making them more contextually aware, knowledgeable, and adaptable to customer needs
Data Cloud strengthens policy-based governance to better control how sensitive data is shared with Agentforce Agents, adds AI tagging and classification to categorize data, and introduces Private Connect for Data Cloud to enable secure data sharing with external public clouds
New Salesforce Datablazers Community enables IT leaders, developers, and Data Cloud enthusiasts to stay connected and share insights on the latest data best practices, trends, and tools
Building on that momentum, Salesforce today introduced several new Data Cloud innovations that advance an organization’s ability to transform the customer experience using data and AI. They include: additions to unstructured data support including native processing of audio and video content — such as webinars and calls — to unlock deeper customer insights; a standardized semantic data model that enables Agentforce Agents and humans to interpret and use data consistently; improved search capabilities that factor in customer context and allow for quicker information discovery; real-time data activations to respond instantly to changing customer needs; and additional data security and governance features to safeguard operations and prevent unnecessary data exposure.
As the fastest-growing organic product in Salesforce’s history with
“In this new era of AI and Agents, customer data and metadata are the new gold for the enterprise,” said Rahul Auradkar, EVP and GM for Data Cloud at Salesforce. “Every day, more companies are using Data Cloud to unify all their data—from customer interactions and product usage to IoT and social media data—to gain deeper customer insights across all touchpoints and channels. Because Data Cloud is the foundation of Salesforce, companies can act on data to create the most personalized and meaningful customer experiences.”
Data Cloud + Customer 360 + Agentforce: Data Cloud surfaces trusted customer data in all Salesforce Customer 360 applications, Agentforce, Flow, and analytics — creating a foundation for personalized customer experiences and real-time analytics, triggering data-driven actions and workflows, and safely driving AI across all Salesforce apps. With its zero-copy technology and MuleSoft connectors, Data Cloud can ingest data from hundreds of diverse data sources, including data lakes and warehouses. Its built-in vector database converts various data formats — PDFs, texts, calls, voicemails, often trapped in
Data Cloud provides the vital customer data that grounds Agentforce, making agents more contextually aware, knowledgeable, and adaptable to customer needs. For example, when a frustrated customer contacts Agentforce Service Agents, Data Cloud’s built-in Retrieval Augmented Generation (RAG) capabilities add real-time insights and context from past emails, support tickets, product photos, voicemails, and any sources as defined by governance policies to help Agentforce better understand the customer perspective. Data Cloud’s hybrid search then identifies the right knowledge article based on customer context to help Agentforce resolve the issue accurately. As customer requests evolve, Data Cloud guides Agentforce with next-best steps, like automating follow-up emails or passing detailed chat summaries to support human representatives. Finally, Tableau Semantics facilitates a seamless transition between AI and employees by ensuring they speak, understand, and operate using the same definitions of data.
New innovations and additions: Data Cloud customers now have access to new capabilities and enhancements that make data accessible and actionable across every Salesforce activation, including:
-
Support for unstructured audio and video content: With
90% of customer data trapped in unstructured formats, businesses and AI can now analyze and extract customer data from previously inaccessible audio and video sources like customer calls, training sessions, product demos, feedback surveys, voicemails, and webinars. This content, now searchable, enriches customer profiles, reveals deeper intent behind customer preferences and behaviors, and improves Agentforce’s accuracy.- For example, by analyzing recorded sales calls, a sales team can pinpoint common objections and refine their pitch to address them more effectively, leading to higher conversion rates.
- Data Cloud connectivity ecosystem expansion: Building on Data Cloud’s promise to be open and extensible, organizations can bring their own data using additional pre-built Data Cloud connectors for apps like Square, Stripe, Meta, Splunk and more, adding to the rapidly growing connector ecosystem that already supports various data lakes, warehouses, and third-party systems. They can also tap into unstructured data from Google Drive, Microsoft SharePoint, Confluence, and Sitemap in Data Cloud using pre-built integrations provided with MuleSoft Direct for Data Cloud. This means data can be pulled in and unified from wherever customers interact, then used to power agentic experiences.
-
Sub-second real-time layer: With
62% of IT leaders noting the need for real-time data to stay competitive, organizations can now ingest, unify, analyze, and act upon data in real-time across Salesforce. This powers Einstein Personalization, now built on Data Cloud, along with real-time AI recommendations, analytics, and automations to enable faster decision-making and instant personalization across customer touchpoints.- For example, a support agent assisting a customer with equipment issues can access real-time sensor data, recent maintenance records, and past support tickets directly in Service Cloud. If the equipment's sensor stops sending data, a triggered alert notifies the agent, allowing them to quickly diagnose the issue and recommend targeted solutions to minimize downtime.
-
Governance and security for trusted data and AI: To safeguard operations, manage governance at scale, and prevent exposure to unauthorized parties while using AI, these new features improve how structured and unstructured data are managed, protected, and securely shared with AI applications and across the platform.
- AI tagging and classification automate the labeling and organization of unstructured data per business policies. Data becomes consistent, governance is easier to apply, and both AI and users can easily search and analyze the data.
- Policy-based governance helps achieve access governance at scale by creating granular security policies that grant appropriate access to user groups based on tags, metadata, and user attributes. This simple experience ensures that users, including AI, can only access the data it’s permitted to see across the platform.
- Customer-managed keys allow organizations to manage their own encryption keys, ensuring data stays encrypted and secure regardless of how it’s used.
- Private Connect for Data Cloud enables organizations to safely share and integrate their data between Data Cloud and public cloud environments by establishing secure, direct network connections between them. This means data can be safely shared across network boundaries without compromising its integrity.
-
Tableau Semantics: Organizations can organize data based on its meaning and relationships, creating a standardized semantic model that allows anyone to understand, use, and act upon data consistently, regardless of origin.
- For example, a hospital can standardize data across departments, ensuring that a patient’s test results, X-rays, and doctor’s notes are all linked and understood in the same context regardless of how they are written (abbreviations, typos, synonyms, etc).
-
Hybrid search: Organizations can find the most relevant information in the company’s knowledge base by combining semantic capabilities of vector search with the exact match capabilities of keyword search, which are critical to deal with specific domain terms like product names or acronyms. This makes it faster and easier to find information across any medium, such as PDFs, pictures, audios, and videos.
- For example, Agentforce can use part numbers found in customer-sent photos to pull up relevant knowledge articles for that product category and help support representatives resolve customer issues faster.
-
Data Cloud One: Organizations can now connect multiple Salesforce orgs that may be siloed across different departments, regions or business units and extend all of Data Cloud’s functionalities across all Salesforce instances using a no-code, point-and-click setup. This allows them to create a single Data Cloud instance as the source of truth, enabling data sharing and actions, like automation, calculated insights, and more across all Salesforce orgs, without creating new Data Clouds for each org.
- For example, a sales leader looking to enrich sales leads with a 360-degree view of customers no longer needs to have their team write custom code to integrate Data Cloud data across multiple Salesforce orgs. Instead, a single central Data Cloud can now power each org with its features, seamlessly enriching sales profiles across all Salesforce orgs.
- A new data community: Salesforce also announced its new Datablazer community, an online platform to connect IT and business leaders, developers, and Data Cloud enthusiasts. It provides space to learn, share insights, and stay informed on the latest best practices, trends, and tools to maximize the value of data.
The customer perspective:
“Salesforce allows us to fuse together our trusted data from across our business to deliver tailored quality experiences to every current and future Aston Martin customer while creating the personalized, VIP experience they expect, as we look to grow and succeed in the AI era,” said Matthew Randall, Head of Software and Integration, Aston Martin.
“As a professional recruiting, staffing and consulting business, we match talent to the most exciting companies and opportunities around the world. On any given day, we connect 700,000 people with fulfilling opportunities to match their skills. We are redefining the future of work by enabling augmented recruiter experiences thanks to AI, connecting employees to the right data at the right time. Today, Data Cloud gives 27,000 employee users seamless access to key information to match skills to specific roles,” said Caroline Basyn, Chief Digital and IT Officer, The Adecco Group.
“Each and every one of Wyndham’s hundreds of millions of guests wants to be seen and heard on an individual level. Salesforce gives our reservation agents a comprehensive view of the specific guest they’re serving so they can receive a personalized experience based on context about their stay history, loyalty service, and notes from past requests. This is made possible by the suite of products with Salesforce, including Data Cloud, which harmonizes data and unifies guest profiles from our reservation platform. With this data aggregated, agents can now access guests’ booking histories at any franchise property, such as accessible room requests, loyalty status or milestones, personalizing every interaction,” said Scott Strickland, Chief Commercial Officer, Wyndham Hotels & Resorts.
Expected availability: New innovations will be available in pilot, beta or general availability within the below time frames.
-
Now:
- Customer-managed keys is generally available.
- Sub-second real-time layer is generally available and can be enabled through sub-second real-time profiles add-on consumption SKU.
- MuleSoft Direct for Data Cloud will be in beta in late Sept ‘24 and require a MuleSoft Anypoint Platform license to use.
- A comprehensive list of pre-built connectors generally available and in beta can be found in Data Cloud Connectors Directory.
-
In October ‘24:
- Support to process unstructured audio and video content, currently in pilot, will be generally available.
- Data Cloud One will be generally available.
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In November ‘24:
- Hybrid search, currently in pilot, will be generally available.
- AI tagging and classification will be in beta.
- Policy-based governance will be in beta.
- Private Connect for Data Cloud will be generally available.
-
In February ‘25:
- Tableau Semantics, currently in pilot, will be generally available.
Explore More:
- Explore Data Cloud use cases
- Read about Data Governance for the AI Enterprise
- Join the new Datablazer and Trailblazer communities
- See how Wyndham books faster with Data Cloud
- See how FedEx grows shipping revenue with Data Cloud
View source version on businesswire.com: https://www.businesswire.com/news/home/20240917960257/en/
Kylie Mojaddidi
kmojaddidi@salesforce.com
Source: Salesforce
FAQ
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