Salesforce Introduces AI Cloud, Its AI Capability Suite Including Einstein GPT

salesforcea leading CRM and cloud software company, has announced the AI Cloud launchwhich the company defines as “a set of capabilities optimized to provide reliable, open, and real-time generative experiences in all applications and workflows.”

At the heart of the AI ​​Cloud is Einstein GPT, the CRM-focused generative AI initiative launched by Salesforce in March, which aims to embed generative AI capabilities throughout the platform ecosystem and help businesses and employees become more productive and efficient in sales areas, services, marketing and trade.

Text generation and better workflows thanks to Salesforce AI Cloud

The models Salesforce has created in AI Cloud provide new capabilities to the different products of the platform, including Data Cloud, Tableau, Flow, and MuleSoft. The models are: Sales GPT, Services GPT, Marketing GPT, Commerce GPT, Slack GPT, Tableau GPT, Flow GPT, and Apex GPT.

For example, with GPT Sales emails can be created and personalized quickly, while Service GPT is capable of generating service reports, case summaries, and work orders based on customer history data. As to Marketing GPT and Commerce GPTthey are able to segment the audience to personalize product descriptions for each buyer through email, mobile devices, web and advertising.

On the other hand, Slack GPT and Flow GPT allow codeless workflows to be created that incorporate AI actions, while Tableau GPT You can create visualizations based on natural language prompts. To end, GPT Fish Looks for code vulnerabilities and suggests solutions.

As part of Salesforce’s commitment to creating an open ecosystem, AI Cloud hosts text-generating AI models from different partners like Amazon Web Services (AWS), Anthropic and Open AI within the Salesforce infrastructure. Proprietary models are also part of Salesforce’s AI research division, boosting code generation capabilities and business flow automation. In addition, customers can also integrate their own custom models into the platform, via while storing data on their own infrastructure.

As stated by the company, AI Cloud Starter will cost $360,000 (just over 334,000 euros) per year and will have the necessary basic components: Data Cloud, MuleSoft automation, Einstein, Tableau Analytics, Slack and CRM. On top of this, a free AI readiness assessment from the company’s professional services is included.

Several of the models are available from today (Slack GPT, Commerce GPT, Sales GPT, and Service GPT), while others (Marketing GPT, Apex GPT, Tableau GPT, and Einstein Trust Layer GPT) will arrive at the end of June. Flow GPT is scheduled to arrive in October of this year.

Empowering Trust and Security with the Einstein GPT Trust Layer

Research by Salesforce reveals that 73% of employees believe generative AI presents new security risks and nearly 60% of those who plan to use the technology don’t know how to keep data secure. It is for this reason, and to help alleviate the fear that the adoption of generative AI can produce, that Salesforce presents Einstein GPT Trust Layer, a new AI writing and moderation service, which seeks prevent text generation models from saving sensitive data.

The Einstein GPT Trust Layer targets companies with strict compliance and governance requirements that prevent them from using generative AI tools. He is able to detect when a message contains sensitive information and removes it in the backend and can even detect and filter racist, sexist or discriminatory messages.

Users linking models from third-party platforms (Amazon SageMaker or Google Vertex AI) to AI Cloud can use this new layer of security. Additionally, for those Open AI customer users, Salesforce has established a shared trust association with the enterprise through the Open AI Enterprise API and Einstein GPT Trust Layerwhich will help protect data held in Salesforce.

Lastly, it has also released a number of ad templates and builders and claims that they are “developing optimized AI indicators using harmonized data to base the results generated in the unique context of each company. These context-rich insights will help sales, service, marketing, commerce and IT teams gain instant value from trusted generative AI, without hallucinations, while reducing time and cost.”

Photo: Depositphotos

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