Day Zero of Salesforce‘s annual Dreamforce AI conference saw the introduction of the Einstein 1 platform, which will allow business customers to make use of productivity apps, large language models (LLMs) and partners, all in once place.
With disconnected data assets, apps and APIs continuing to create barriers towards long-term customer relationship innovation, Salesforce is showing intent of bolstering metadata capabilities — the context that explains any given data’s purpose and relevance — which has underpinned the CRM giant’s business strategy for over 20 years.
The new platform will include integration software subsidiary MuleSoft, enabling connections with outside partner vendors, while the AppExchange allows independent service vendors (ISVs) to extend the platform to suit specific customer needs.
Productivity tools including Salesforce’s work communication platform Slack; its business intelligence software subsidiary Tableau; as well as Microsoft 365 and Google Workplace will also be accessible.
Staff using the open cloud platform will be able to operate using low code and no code programming — a growing software trend that is helping to democratise value drive from AI and other digital developments.
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“So much of Salesforce is built on this metadata framework, from our platform to analytics, Commerce, Sales, Service and Marketing, as well as our data cloud. Metadata has grounded our platform for over 20 years,” said Patrick Stokes, executive vice-president of product and industries marketing at Salesforce.
“Einstein gives you one platform where you can build all of your customer experience in one place, with all the data and AI that you need.”
The Commerce and Marketing sector clouds offered by Salesforce are set to be implemented on top of the Einstein 1 metadata framework, helping to further unify existing assets.
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