Create AI-powered apps and workflows on Salesforce's Einstein 1 Platform

Salesforce has unveiled the Einstein 1 Platform, which features major advancements for Salesforce Data Cloud and Einstein AI, all built on Salesforce’s underlying metadata framework. A trusted AI platform for customer companies, the Einstein 1 Platform gives companies the ability to safely connect any data to build AI-powered apps with low-code, delivering entirely new customer relationship management (CRM) experiences.

“A company’s AI strategy is only as good as its data strategy,” said Parker Harris, Co-Founder and CTO, Salesforce.

“We pioneered the metadata framework nearly 25 years ago to seamlessly bridge data across applications. It’s the connective tissue that fuels innovation. Now, with Data Cloud and Einstein AI native on the Einstein 1 Platform, companies can easily create AI-powered apps and workflows that supercharge productivity, reduce costs, and deliver amazing customer experiences.”

According to Salesforce, customer data is highly fragmented. Enterprise data stacks have grown more complex, and prior computing revolutions – cloud, social, and mobile – have generated massive, siloed islands of customer data. On average, organisations use 1,061 different applications, yet only 29% of them are integrated, the company said.

Salesforce’s metadata framework helps companies organise and understand data across Salesforce applications – the equivalent of having a common language so different applications built on the core platform can communicate with each other. This yields a unified view of the data across an enterprise regardless of how that data is structured in disparate systems.

Additionally, Salesforce delivers automatic upgrades three times per year, and the metadata framework prevents any integrations, customisations, or security models from breaking. Organisations can easily add, extend, and build on top of Salesforce as the platform evolves. For instance, organisations can customise every user experience and action their data using a variety of low-code platform services – including Einstein for AI predictions and content generation; Flow for automation; and Lightning for user interfaces. These customisations are instantly available to the rest of the organisation’s core applications without having to write costly and brittle integration code.

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