Salesforce introduces the Data Cloud Spring ‘24 Release

Salesforce is unveiling its Data Cloud Spring ‘24 Release, including new innovations to make data in Data Cloud more usable across Salesforce’s CRM applications and platform services.

“Salesforce Data Cloud is the first data platform that not only unifies data from across the enterprise, but also uses this harmonized data to power the AI and applications that businesses use every day,” said David Schmaier, president and chief product officer, Salesforce. “This enables salespeople, marketers, customer service agents, and more to develop deeper customer relationships, save time, and dramatically improve productivity. Data Cloud truly unlocks trapped data to power a better customer experience.”

Features like Data Cloud Related Lists and Data Cloud Triggered Flows make it possible to view customer engagement data from a website on every customer record in Salesforce and automate an alert to a salesperson, according to the company.

Data Cloud makes it possible to connect data from any source or data lake and use it within the applications that business users need to use every day.

 This is possible because Data Cloud is built on Salesforce’s foundational metadata layer, which provides a common language that integrates all Salesforce applications and low-code platform services including Einstein AI, Flow for automation, Lightning for UI, and Apex for deep, pro-code customization.

Other new features in Data Cloud Spring ’24 include:

• Data Spaces is now GA: With Data Spaces, customers can logically segregate data, metadata, and processes for departmental, regulatory, and compliance needs.
• Model Builder is now GA: Customers can choose an LLM or build an AI model based on the job Model Builder is a no-code, low-code, and pro-code way for companies to build their own predictive AI models trained on their Data Cloud data. For generative AI, Model Builder allows customers to select from LLMs managed by Salesforce, or bring their own models. Businesses can also use predictive and generative AI models from Salesforce partners, including Amazon Bedrock, Amazon SageMaker, Anthropic, Cohere, Databricks, Google Cloud’s Vertex AI, and OpenAI, and train select models on Data Cloud data without moving or copying data.
• Data Cloud Related Lists is now GA: With Data Cloud Related Lists, Data Cloud data can be surfaced across Einstein 1 Platform in a Related List on any Salesforce Object. Now, B2B companies can immediately enrich their leads, contacts, and account records with real-time engagement data from Data Cloud.
• Data Cloud Copy Fields is now GA: With Data Cloud Copy Fields, customers can expose the insights generated in Data Cloud in core CRM, eliminating the need for complex data integrations and custom development. Now, customers can copy data from a Data Model Object or Calculated Insight Object into a field on Contact or Lead record.
• Data Cloud for Industries Enhancements: With Data Cloud for Industries solutions, customers can leverage pre-built connectors, data models, calculated insights, and data kits to power industry specific AI, automation, and workflows. Data Cloud for Financial Services is now GA.
• Data Graphs Enhancements: With Data Graphs in Data Cloud, customers can define the relationships between data points, eliminating the need for SQL queries or creating data joins manually. With the ability to trace the related fields and rearrange the relationships in a drag-and-drop manner, Data Graphs make it easy to ensure that the correct field data will be included in an AI application. Real-Time Data Graphs is now in pilot, empowering brands to access and update key customer data in milliseconds.
• Service Intelligence is now GA: With Service Intelligence, service teams can easily derive insights about the quality of their service with AI models to predict ‘propensity to escalate’ and ‘time to resolve’ for their cases based on Data Cloud data.
• Data Cloud Triggered Flows Enhancements: With Data Cloud Triggered Flows, customers can automate business processes based on a change in a data point from across all Data Cloud data sources or when calculated insight conditions have been met. Now, users can test and troubleshoot their Flows before activating.

For more information about this news, visit www.salesforce.com.