Salesforce Announces AI Cloud to Empower Businesses with Trusted Generative AI

Salesforce Announces AI Cloud to Empower Businesses with Trusted Generative AI

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Salesforce today announced the launch of AI Cloud, an enterprise AI solution aimed at increasing productivity across all Salesforce applications. The new open platform integrates various Salesforce technologies such as Einstein, Data Cloud, Tableau, Flow and MuleSoft, delivering real-time generative AI capabilities that can be easily incorporated into business operations.

At the heart of AI Cloud is the new Einstein Trust Layer, which the company says will set a new industry standard for enterprise AI architecture. The company claims that this layer not only takes advantage of generative AI, but also ensures maximum data privacy and security.

Additionally, customers will have the freedom to choose their preferred Large Language Models (LLMs) for their specific use cases. Options will include templates from leading tech companies like OpenAI, Anthropic, and Cohere as well as proprietary and domain-specific templates from Salesforce.

“We built AI Cloud to help clients leverage AI-powered content across sales, customer service, marketing, commerce, and IT interactions to better connect with their audiences in new and more personalized ways,” Adam Caplan, SVP of Salesforce’s emerging technology, VentureBeat said. “Our new offering will enable companies to securely activate the power of generative AI across all of their applications, connect all of their business data, gain new insights into their customers, and automate workflows.”


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Salesforce says the Einstein Trust Layer aims to establish trust in enterprise generative AI by protecting sensitive data within AI applications and workflows. The layer will prevent the integration of proprietary data into public models and address critical concerns around data privacy, security, residency and compliance in Generative AI.

The company has also developed templates and prompt builders to improve the quality and relevance of AI-generated content. These tools leverage harmonized data to ground the outputs generated in each company’s unique context. It also strives to eliminate AI hallucinations and streamline workflows.

Enable safer use of generative AI models

New research from Salesforce indicates that by 2030, AI is predicted to drive more than $15 trillion in global economic growth and increase GDP by 26%. However, the widespread adoption of artificial intelligence depends on building trust and safeguarding data privacy.

Research findings reveal that 73% of employees perceive Generative AI as introducing new security risks and nearly 60% of those considering using the technology are unsure about protecting their data.

To address this challenge, AI Cloud incorporates a Trust Layer, prioritizing data privacy and security. The company aims to give users more control over corporate AI and data strategy by providing an open ecosystem. Additionally, Salesforce says integrating generative content powered by secure CRM data will cultivate trust among users.

“With trust at its core, AI Cloud will help customers get the most out of their data by using generative AI to create a better customer experience and enable employees to work smarter and faster,” said Salesforce’s Caplan at VentureBeat.

Caplan said the new offering allows sales teams to generate personalized emails to meet their customers’ needs. Additionally, marketers can leverage the tool to build audience segments, using natural language suggestions and AI-driven recommendations to improve targeting.

A customizable platform for LLM implementation

Einstein Trust Layer offers a flexible platform that allows customers to integrate their preferred large language models (LLMs) into their preferred deployment environment.

Developed in partnership with OpenAI, the platform allows customers to leverage external models while ensuring the confidentiality of their prompts and generative responses within Salesforce’s secure environment. To enhance security measures, AI Cloud hosts Salesforce’s proprietary LLMs, as well as LLMs from AWS, Google, Anthropic, Cohere, and other domain-specific models. This comprehensive approach allows companies to integrate several large language models with customer data.

Additionally, the introduction of Einstein GPT serves as a gateway for clients to use their preferred LLMs. Additionally, Salesforce LLMs, including CodeGen, CodeT5+, and CodeTF, offer advanced capabilities such as code generation and business process automation assistance.

Salesforce’s Caplan added that the company has developed a set of specific guidelines for generative AI, based on Trusted AI principlesa framework to help companies think about how to work thoughtfully with generative AI.

“Our Responsible Generative AI guidelines aim to help Salesforce and all Generative AI users mitigate these issues by following responsible best practices when it comes to development,” said Caplan. “Customers who have trained their models outside of Salesforce can benefit from AI Cloud while storing data on their own infrastructure. These models connect directly to AI Cloud through the Einstein Trust Layer, where all customer data remains within customer trust boundaries.”

Salesforce’s announcement of its new AI Cloud services comes as competition in the rapidly evolving AI-for-enterprise generative space continues to grow, with the launch of new startups targeting the same customer base and incumbents as Microsoft and Google while also offering enterprise-grade AI services.

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