Acquired in June, Demandware had a machine-learning based ability to automatically recommend best-fit products for customers based on their individual histories and the history of like customers. Several Einstein capabilities tied to the Commerce Cloud are either already available or will soon be available because they were developed or in the works at Demandware. Recommend Products with Commerce Cloud Einstein You need a lot of data to make smart, automated decisions, so this capability may not be applicable to small and midsized customers that have fewer than 10,000 customers in key categories. I’m told the engine can spot complex correlations and patterns across as many as 100 columns of data, but it also requires at least 10,000 rows of data to deliver statistically reliable results. ![]() As for the limitations of the technology, I’d like to hear more about how quickly the engine can create statistical summaries of big data and how quickly it generates analyses. This is a powerful engine, and it’s no surprise it will play a prominent role in the Analytics Cloud as well as other Einstein capabilities. Beyond Core was sold based on per-user pricing, and Salesforce executives tell me it will continue to be offered that way as an extra-cost option of Analytics Cloud Einstein. Soon after BeyondCore was acquired, a data connector was added for Salesforce CRM data, and a data output was added for Salesforce Wave, so predictive and prescriptive insights can be exported to the Analytics Cloud. When data sets are too large to load into the cloud the engine can create and rely upon statistical summaries of larger data sets. To gain insights, BeyondCore connects to data sources including popular relational databases and Hadoop. BeyondCore stories can be exported as Word documents or PowerPoint presentations and the engine also generates supporting data visualizations. The engine then identifies and explains the drivers of a measure or combination of measures.īeyondCore analyses and explanations are delivered in the form of text-based “stories” that are generated automatically and that answer four questions: What Happened? Why did it happen? What will happen? And how can I improve? The answers to the last two questions are predictive and prescriptive insights, respectively. ![]() Rather than starting with hypotheses developed by data scientists, BeyondCore is designed to let business analyst select measures to investigate, such as cost, profitability or customer lifetime value. Purchased in September, BeyondCore is a cloud-based data-discovery and analysis platform that takes in data and statistical summaries of big data and then uses machine learning to automatically spot correlations and patterns in that data. BeyondCore is the engine behind the “discover smarter insights” capability in Analytics Cloud Einstein, and it’s already available. It quickly became clear at Dreamforce that BeyondCore, one of Salesforce’s most recent AI acquisitions, is expected to be among the most significant of the dozen or so deals driving Einstein – at least where machine-learning based data-discovery and analysis are concerned. ‘Discover Smarter Insights’ with Analytics Cloud Einstein Based on executive interviews and time spent at the Dreamforce “Einstein Discovery Center,” here’s a closer look at what to expect and when. And only then will Salesforce be able to deliver some of the blended Einstein capabilities described at Dreamforce. Salesforce insists that it’s not just a vision, but incorporating all those acquisitions will require a bit of integration work before Salesforce can deliver a consistent set of services and APIs. What’s not yet real, in my view, is the Einstein “platform services” layer depicted in the marchitecture diagram that Salesforce flashed up during several keynotes last week (see below). Several Einstein capabilities coming soon to the Marketing and Sales Cloud were developed organically, according to Salesforce, relying on machine learning and other technologies evolved out of the ExactTarget and Heroku acquisitions. The capabilities available immediately are mostly those that Salesforce picked up through its many AI-related acquisitions over the last year to 18 months. ![]() There’s good reason for skepticism, given Salesforce’s habit of announcing capabilities at Dreamforce well ahead of availability, yet several Einstein “artificial intelligence” (AI) services are actually already available. “They’re great marketers, but who knows when any of this AI stuff will be real?” “There’s a reason they call it Dreamforce,” quipped one Salesforce partner executive at the company’s big October 4-7 event in San Francisco. Here’s a look at what’s real and what’s coming. Salesforce has introduced Einstein as a set of platform services, but for now it seems more like a collection of acquired parts.
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