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Salesforce Deepens AI Integration, Targets Employee Productivity for Initial GTM Enhancements

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Einstein 1 is an amalgamation of the predictive analytics capabilities, the newer conversational and generative AI tools announced recently, and a deep integration with Salesforce Data Cloud. There is a limit, however. Users can only create up to 10,000 unified profiles before having to pay Data Cloud fees.

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Salesforce’s Roadmap Reveals Evolving Support of Converged Growth Models

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These include the full MuleSoft library of connectors and enrichment pipes like Acxiom, LiveIntent and also key cloud platforms from Amazon, Google, and Microsoft. You usually have to extract and mirror the data, causing a “doubling up” effect on storage costs. But Salesforce is solving this in an innovative way.

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SEO and Panda, One Year Later

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More specifically, it was about the latest (at the time) Google algorithm update – called Panda — and the impact of content quality on search engine results. It does lead to some questions, however — mainly focused on what makes content engaging, and how would Google measure that engagement. Image via SearchEngineLand.com.

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How We Learn – One Size Doesn’t Fit All

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Not to mention, the rules of engagement change constantly (CAN-SPAM, new Google algorithms) and success is measured by impact on the business versus vanity metrics like clicks and opens. How do we become successful in new areas like data analytics or marketing automation? And for marketers, that makes our jobs tougher than ever.