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Salesforce Announces AI Cloud – Bringing Trusted Generative AI to the Enterprise

Salesforce Announces AI Cloud – Bringing Trusted Generative AI to the Enterprise

Salesforce announced AI Cloud, the fastest and most trusted way for Salesforce customers to supercharge their customer experiences and company productivity with generative AI for the enterprise. AI Cloud is a suite of capabilities optimized for delivering trusted, open, and real-time generative experiences across all applications and workflows. AI Cloud’s new Einstein GPT Trust Layer resolves concerns of risks associated with adopting generative AI by enabling customers to meet their enterprise data security and compliance demands, while offering customers the benefits of generative AI. This unique blend of capabilities and security solidifies Salesforce’s position as the #1 AI CRM.

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At the heart of AI Cloud is Einstein, the world’s first AI for CRM, which now powers over 1 trillion predictions per week across Salesforce’s applications.With generative AI, Einstein helps make every company and employee more productive and efficient across sales, service, marketing, and commerce.

AI Cloud will enable sales reps to quickly auto-generate personalized emails tailored to their customer’s needs, and service teams to auto-generate personalized agent chat replies and case summaries. Marketers can auto-generate personalized content to engage customers and prospects across email, mobile, web, and advertising. Commerce teams can auto-generate insights and recommendations to deliver customized commerce experiences at every step of the buyer’s journey. And, developers can auto-generate code, predict potential bugs in code, and suggest fixes.

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Why trusted generative AI matters in the enterprise: Company leaders want to embrace generative AI, but are wary of the risks – hallucinations, toxicity, privacy, bias, and data governance concerns are creating a trust gap. New Salesforce research found that 73% of employees believe generative AI introduces new security risks and nearly 60% of those who plan to use the technology don’t know how to keep data secure.

AI Cloud will help fill that trust gap with the new Einstein GPT Trust Layer. The Einstein GPT Trust Layer will help prevent large-language models (LLMs) from retaining sensitive customer data. This separation of sensitive data from the LLM will help customers maintain data governance controls while still leveraging the immense potential of generative AI. The Einstein GPT Trust Layer sets a new industry standard for secure generative AI for the enterprise.

“AI is reshaping our world and transforming business in ways we never imagined, and every company needs to become AI-first,” said Marc Benioff, Chair and CEO, Salesforce. “AI Cloud, built on the #1 CRM, is the fastest and easiest way for our customers to unleash the incredible power of AI, with trust at the center driven by our new Einstein GPT Trust Layer. AI Cloud will unlock incredible innovation, productivity, and efficiency for every company.”

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Go deeper: AI Cloud delivers the future of trusted enterprise generative AI

AI Cloud will integrate Salesforce technologies, including Einstein, Data Cloud, Tableau, Flow, and MuleSoft to provide trusted, open generative AI that is enterprise ready.

Trusted and Open: The Einstein GPT Trust Layer will enable companies to get started with trusted generative AI faster by optimizing the right model for the right task. It will also provide deployment capabilities for any relevant LLM while helping companies maintain their data privacy, security, residency, and compliance goals.

  • Use of Third-Party LLMsAs part of Salesforce’s commitment to an open ecosystem, AI Cloud is designed to host LLMs from Amazon Web Services (AWS)AnthropicCohere, and others — entirely within Salesforce’s infrastructure. AI Cloud will help maintain customer prompts and responses in the Salesforce infrastructure. In addition, Salesforce and OpenAI have established a shared trust partnership to deliver joint content moderation using OpenAI’s leading Enterprise API and best-in-class safety tools in conjunction with the Einstein GPT Trust Layer to help keep data retained in Salesforce.
  • Use of Salesforce LLMsAI Cloud will enable customers to use Salesforce LLMs developed by Salesforce AI Research to power advanced capabilities such as code generation and business process automation assistance, fundamentally transforming how businesses interact with their CRM softwareSalesforce’s LLMs – including CodeGen, CodeT5+, and CodeTF – help companies increase productivity, bridge the talent gap, reduce the cost of implementations, and better detect incidents.
  • Bring Your Own Model (BYOM): Customers who have trained their own domain-specific models outside of Salesforce will benefit from AI Cloud while storing data on their own infrastructure. These models, whether running through Amazon SageMaker or Google’s Vertex AI, will connect directly to AI Cloud through the Einstein GPT Trust Layer. In this scenario, customer data can remain within the customers’ trust boundaries.

The customer perspective

“Our goal is to deliver more personalized member engagement, make our processes more efficient and cost-effective, and drive innovation across our team within a safe and trusted environment,” said Shohreh Abedi, EVP, Chief Operations Technology Officer, and Member Experience at AAA – The Auto Club Group. “We’re accelerating our digital transformation with Salesforce, and AI Cloud will help us implement AI across our entire business, including devops, support, sales, and underwriting.”

“Embedding AI into our CRM has delivered huge operational efficiencies for our advisors and clients,” said Greg Beltzer, Head of Tech for RBC US Wealth Management.“We believe that this technology has the potential to transform the way businesses interact with their customers, deliver personalized experiences, and drive customer loyalty.We are excited to explore this opportunity with Salesforce and drive the next generation of personalized customer experiences.”

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[To share your insights with us, please write to sghosh@martechseries.com]

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