Autonomous Insights

Since the launch of Einstein Analytics over 5 years ago, we’ve been working hard to make the authoring experience richer and more declarative with “clicks, not code”. We hope this has empowered more of you to become dashboard builders and helped you build powerful analytics apps faster for your entire organization. We’ll be taking the ...

Tree-Based Learning Algorithms in Einstein Discovery

The primary goal of this blog post is to provide technical information on the addition of tree-based machine learning (ML) algorithms to Einstein Discovery in the Summer ’20 Release. This article helps readers understand the capabilities, benefits, and details of ensemble (tree-based) algorithms in Einstein Discovery. Tree-based algorithms go beyond Einstein Discovery’s traditional focus on ...

Estimate Propensity to Buy with Einstein Discovery to improve sales excellence

In order to satisfy increasingly diversified customer demands, product and service portfolios are steadily becoming larger. B2B and B2C companies are expected to guide their customers to the best fitting bundle in their large panoply of products. Predicting the likelihood of a customer or prospect purchasing a particular product is essential and requires a deep ...

The Delicacy of Accuracy: A Deep Dive on Classification Performance

The accuracy of Machine Learning models gives rise to one of the most confusing discussions in the world of Machine Learning. There are multiple reasons for that. First, many different performance metrics are used, which makes fair comparisons and transparent discussions hard. Secondly, expectations are often unrealistically high, caused by extremely overblown media coverage of ...

Preparing Your Data For Einstein Discovery

Einstein Discovery is AI-powered analytics that enables business users to automatically discover relevant patterns based on their data – without having to build sophisticated data models. However, Einstein Discovery is only as good as the historical data it is analyzing. Wrangling the data, which is always the hardest part, involves cleaning and consolidating your historical ...