Salesforce made a significant announcement today, introducing AI Cloud, a cutting-edge enterprise AI solution designed to enhance productivity across all Salesforce applications. This open platform seamlessly integrates various Salesforce technologies, including Einstein, Data Cloud, Tableau, Flow, and MuleSoft, providing real-time generative AI capabilities that can be easily integrated into business operations.
During Salesforce’s AI Cloud announcement event in New York City, Salesforce co-founder and CEO Marc Benioff emphasized the transformative potential of generative AI, stating, “Generative AI…may be the most important technology of any lifetime.” Benioff highlighted the success of Salesforce’s client Gucci, a renowned fashion house, which has been utilizing an early version of AI Cloud for over a year and has experienced remarkable improvements in customer support and response capabilities.
At the heart of AI Cloud lies the innovative Einstein Trust Layer, which Salesforce believes will establish a new industry standard for enterprise AI architecture. This layer not only leverages the advantages of generative AI but also ensures uncompromising data privacy and security.
Customers have the freedom to choose from a range of large language models (LLMs) tailored to their specific use cases. The options include models from major tech companies like OpenAI, Anthropic, Cohere, as well as Salesforce’s proprietary and domain-specific models.
Adam Caplan, SVP of emerging technology at Salesforce, explained the purpose behind AI Cloud, stating, “We created AI Cloud to help customers leverage AI-created content across sales, customer service, marketing, commerce, and IT interactions to better connect with their audiences in new, more personalized ways. Our new offering will empower enterprises to safely turn on the power of generative AI across all of their applications, connect all of their enterprise data, gain new insights about their customers, and automate workflows.”
Salesforce aims to instill trust in enterprise generative AI through the Einstein Trust Layer, which safeguards sensitive data within AI applications and workflows. This layer prevents the integration of proprietary data into public models and addresses critical concerns related to data privacy, security, residency, and compliance in generative AI.
Ease of use to make prompting easier
To enhance the quality and relevance of AI-generated content, Salesforce has developed prompt templates and builders. These tools utilize harmonized data to ground the generated outputs in the unique context of each company, eliminating AI hallucinations and optimizing workflows.
Salesforce’s research indicates that AI is projected to contribute over $15 trillion in global economic growth and increase GDP by 26% by 2030. However, widespread adoption hinges on establishing trust and safeguarding data privacy. The research findings highlight that 73% of employees perceive generative AI as introducing new security risks, while nearly 60% of potential users remain uncertain about securing their data.
Addressing this challenge, AI Cloud incorporates a Trust Layer that prioritizes data privacy and security, granting users greater control over enterprise AI and data strategy within an open ecosystem. Salesforce believes that integrating generative content powered by secure CRM data will foster trust among users.
Caplan emphasized how the new offering empowers sales teams to generate personalized emails tailored to customers’ needs. Marketers can leverage the tool to create audience segments, utilizing natural language prompts and AI-driven recommendations to enhance targeting.
The Einstein Trust Layer provides a flexible platform enabling customers to integrate their preferred large language models (LLMs) into their chosen deployment environment. Developed in collaboration with OpenAI, this platform allows customers to use external models while ensuring the confidentiality of their prompts and generative responses within Salesforce’s secure environment. AI Cloud hosts Salesforce’s proprietary LLMs, as well as LLMs from AWS, Google, Anthropic, Cohere, and other domain-specific models, enhancing security measures and enabling businesses to integrate diverse large language models with customer data.
Security with CRM will ensure adoption
Salesforce emphasizes the importance of integrating generative content powered by secure CRM data to cultivate trust among users. According to Salesforce’s Adam Caplan, SVP of emerging technology, “With trust at the center, AI Cloud will help customers get the most out of their data using generative AI to create a better customer experience and empower employees to work smarter and faster.”
Caplan further explains that the new offering enables sales teams to generate personalized emails tailored to meet customers’ specific needs. Additionally, marketers can utilize the tool to create audience segments by leveraging natural language prompts and AI-driven recommendations for enhanced targeting.
The Einstein Trust Layer, part of Salesforce’s AI Cloud, provides a flexible platform for customers to integrate their preferred large language models (LLMs) into their chosen deployment environment. Developed in collaboration with OpenAI, this platform enables customers to utilize external models while ensuring the confidentiality of their prompts and generative responses within Salesforce’s secure environment. AI Cloud hosts Salesforce’s proprietary LLMs, as well as LLMs from AWS, Google, Anthropic, Cohere, and other domain-specific models, facilitating the integration of diverse large language models with customer data.
The introduction of Einstein GPT serves as a gateway for customers to use their preferred LLMs. Salesforce’s own LLMs, including CodeGen, CodeT5+, and CodeTF, offer advanced capabilities such as code generation and business process automation assistance.
Caplan highlights that Salesforce has developed a set of guidelines specific to generative AI, based on Trusted AI Principles, a framework aimed at helping companies work thoughtfully with generative AI. These guidelines for responsible generative AI serve to mitigate potential issues by promoting responsible best practices in development. Furthermore, customers who have trained their own models outside of Salesforce can still benefit from AI Cloud while storing data on their own infrastructure. These models connect directly to AI Cloud through the Einstein Trust Layer, ensuring that all customer data remains within their trust boundaries.
Salesforce debuted pricing for its AI Cloud “Starter Pack” beginning at $360,000 per year.