Salesforce announced a summer 2024 release with generative AI (GenAI) at the center of many great features.
Scheduled for general availability on June 17, 2024, the tech giant has outlined increased productivity and access to large-scale language models (LLMs) on open platforms as some of the benefits of the summer release .
And thanks to Einstein Trust Layer, users can further protect their customers' and businesses' data.
While the full release includes “hundreds of new features,” Salesforce lists the following six products as “highlights” of the release:
Deploy your own LLM extension
This solution seamlessly integrates OpenAI and Azure OpenAI LLM with Salesforce. The summer release includes additional options such as Google Gemini and AWS Bedrock models (Mistral, Titan, Llama 2, etc.).
Slack AI
The tool seamlessly integrates generative AI into the secure Slack platform to help users work more efficiently and intelligently when leveraging enterprise conversation data.
Users have access to a variety of productivity-enhancing features, including summaries, which provide a daily morning overview of important channels, and Find Answers, which provides personalized and intelligent responses to conversational inquiries. .
Zero-copy integration with Amazon Redshift
This tool can transfer data between Data Cloud and Amazon Redshift through zero-copy integration.
This integration gives Salesforce teams access to data directly from the source, ensuring real-time updates across all platforms whenever source data changes.
Through features like data federation and data sharing, customers can now securely exchange internal data in both directions, leveraging Amazon Redshift datasets within Salesforce to power unified customer profiles and gain valuable insights. You can get
vector database
Salesforce claims this feature ingests, unifies, and indexes both structured and unstructured data in the Data Cloud Vector Database, enabling automation, analytics, search, and AI capabilities.
Data cloud for commerce
The solution leverages real-time analytics, automation, and personalization to enhance business insights and improve revenue.
Leverage commerce data such as product details, order history, and fulfillment records, along with marketing and third-party data stored in Data Cloud, to help sellers make data-driven decisions.
digital wallet
The wallet provides consumption-based product usage insights, allowing customers to optimize spending and identify trends over time to make more informed purchasing choices.
Salesforce Pre-Summer Release
While the above features may not be available for another month, there are still plenty of other new innovations available to Salesforce customers right now.
Announced last week, the company released an integrated knowledge solution that promises increased personalization and efficiency.
Essentially, unified knowledge aggregates information from various internal systems and integrates it into Salesforce, allowing service agents to access that information to increase productivity and resolve customer cases faster.
This tool complements Salesforce's Data Cloud and powers GenAI capabilities to deliver faster, more personalized customer experiences.
Building on existing Einstein for Service capabilities, Unified Knowledge provides AI models with a broader range of knowledge sources, including Salesforce articles and external platforms like SharePoint and Google Drive.
In other news, Salesforce has partnered with Vonage to offer the Salesforce Einstein Conversation Insights integration to users of the latter's Premier for Service Cloud Voice solution.
Vonage's expanded toolset positions the company as one of the select few contact center providers to offer seamless integration with AI-driven Einstein Conversation Analytics.
This enhancement is expected to not only improve customer engagement, but also improve the experience for both agents and customers with “intelligent global calling capabilities.”
Salesforce's Einstein Conversation Insights tool gives Vonage Premier users access to real-time conversation data, including audio transcripts and caller sentiment, for more informed conversations.