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In another move to strengthen its CRM<\/a> offering, Salesforce <\/a>has announced the plan to integrate Einstein GPT and data cloud with its flow workflow automation suite.<\/p>\n
The move comes as the demand for generative AI tooling continues to grow in the enterprise context. Salesforce says it will help companies build automations faster to deliver personalized experiences to their end customers.<\/p>\n
However, the integrations are not yet live as the company is planning to roll them out gradually as part of a pilot program.<\/p>\n
How will Einstein GPT and data cloud help?<\/h2>\n
Einstein GPT<\/a> is Salesforce\u2019s generative AI assistant that delivers more than 200 billion AI-powered predictions per day across customer 360<\/a>. Meanwhile, data cloud is the company\u2019s data warehouse<\/a> platform that brings together data points from different sources to host unified customer profiles in real time.\u00a0<\/p>\n
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By connecting the two products with flow, Salesforce is giving enterprises the ability to use natural language prompts to create automated workflows that trigger actions based on real-time data signals.<\/p>\n
\u201cBy powering flow with Einstein GPT and data cloud, we\u2019re not only enhancing usability, but ensuring our customers have access to the most advanced tools to achieve even more productivity, efficiency, and growth,\u201d said John Kucera, SVP of automation at Salesforce. \u201cThis democratizes enterprise AI for everyone.\u201d<\/p>\n
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$\"Einstein-GPT-Flow\"$
Einstein GPT for flow can generate workflows from a text prompt. <\/em><\/figcaption><\/figure>\n<\/div>\n
Einstein GPT handles the workflow creation bit, allowing both technical and non-technical users to create and modify automations using a conversational interface. Meanwhile, the data cloud helps execute the said workflows by tracking real-time changes and triggering the required actions.<\/p>\n
For example, a marketer could type in the request to build an automation flow (with a desired action) for when a customer abandons their cart. The system will build the workflow in near real-time and trigger the desired action, such as sending a personalized message with a promo code, as and when it detects that a customer has dropped out of their cart.\u00a0<\/p>\n
Numerous other capabilities<\/h2>\n
The same approach would also work for use cases like managing inventory, product pricing, fraud detection, patient monitoring and machine maintenance, Salesforce said.<\/p>\n
\u201cThere is a lot of potential in using generative AI like Einstein GPT with Flow,\u201d Kyle Davis, VP analyst at Gartner, told VentureBeat. \u201cFor one, it allows less technical users to use natural language to design automation. There is still the need to validate what is being generated, but validation is easier than designing a flow from scratch.\u201d<\/p>\n
\u201cIntegrating data cloud and flow is critical to the success of both services,\u201d David added. \u201cData cloud provides the ability to ingest and harmonize Salesforce and external data. While this is important, acting against this data has even more value to customers. This is what the integration of data cloud with Flow offers.\u201d<\/p>\n
Beta release in June<\/h2>\n
While both integrations are currently in the development phase, Salesforce expects them to go into early beta in June 2023, followed by a broader public release next year. The company says it will soon announce dates for the pilot program.\u00a0<\/p>\n
\u201cWe want to make this as broadly accessible to our customers as possible,\u201d the company noted.<\/p>\n
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\n Shubham Sharma<\/p>\n","protected":false},"excerpt":{"rendered":"
April 19, 2023 2:16 PM Salesforce Tower, September 22, 2020 in New York City. Image Credit: Noam Galai\/Getty Images Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More In another move to strengthen its CRM offering, Salesforce has announced the plan<\/p>\n","protected":false},"author":1,"featured_media":631472,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[33662,3997,46],"tags":[],"class_list":{"0":"post-631471","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-einstein","8":"category-salesforce","9":"category-technology"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/631471","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/comments?post=631471"}],"version-history":[{"count":0,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/631471\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media\/631472"}],"wp:attachment":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media?parent=631471"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/categories?post=631471"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/tags?post=631471"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

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