Salesforce has just announced their new Einstein 1 Platform, which features major advancements for Salesforce Data Cloud and Einstein AI capabilities, 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 and deliver entirely new 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." Why it matters Customer data is highly fragmented. On average, organisations use 1,061 diferent applications, yet only 29% of them are integrated. Enterprise data stacks have grown more complex, and prior computing revolutions - cloud, social, and mobile - have generated massive, siloed islands of customer data. Salesforce's original 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. 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 This allows organisations to customie 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. 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. Einstein 1 Data Cloud Supports Big Data Scale and High Speed Automation to Power a New Wave of Data-Driven AI Applications Data Cloud - Salesforce's real-time hyperscale data engine - unifies and harmonises customer data, enterprise content, telemetry data, Slack conversations, and other structured and unstructured data to create a single view of the customer. The platform is already processing 30 trillion transactions per month and connecting and unifying 100 billion records every day. With the new Data Cloud now natively integrated with the Einstein 1 Platform, companies can unlock siloed data in entirely new ways; create rich, unified customer profiles; and deliver entirely new CRM experiences. Data at Scale: The Einstein 1 Platform has expanded to support thousands of metadata-enabled objects per customer, each capable of having trillions of rows. In addition, Marketing Cloud and Commerce Cloud, consumer-scale technology stacks that joined Salesforce's Customer 360 portfolio via acquisitions, have been re-engineered onto the Einstein 1 Platform. Automation at Scale: Now massive volumes of data can be brought into the Einstein 1 Platform from other systems and immediately made available as actionable Salesforce objects. Flows can be triggered by any change on any object at scale, whether it's an event coming from an IOT device, a computed insight, or an AI prediction - up to 20,000 events per second - and can interact with any system in the enterprise, including legacy systems, through MuleSoft. Analytics at Scale: Salesforce offers a variety of insights and analytics solutions for different use cases - including Reports and Dashboards, Tableau, ...