![]() It now creates a unified view of the data across an enterprise regardless of how that data is structured in disparate systems by mapping it to the Salesforce metadata framework. Salesforce’s original metadata framework helps companies organize 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. 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, organizations use 1,061 different applications, yet only 29% of them are integrated. Why it matters: Customer data is highly fragmented. 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.” It's the connective tissue that fuels innovation. “We pioneered the metadata framework nearly 25 years ago to seamlessly bridge data across applications. “A company’s AI strategy is only as good as its data strategy,” said Parker Harris, Co-Founder and CTO, Salesforce. 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 and deliver entirely new CRM experiences. SAN FRANCISCO-( BUSINESS WIRE)-Salesforce (NYSE: CRM) today announced the Einstein 1 Platform, which features major advancements for Salesforce Data Cloud and Einstein AI capabilities, all built on Salesforce’s underlying metadata framework.
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