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 ...

Managing Einstein Discovery Models in the Wild

You created a story in Einstein Discovery. You measured its model’s accuracy. Then you made some necessary improvements. The model you deployed is now bringing predictions and recommendations right to your users’ fingertips. You’re pretty satisfied with what you achieved. Cool, you’re done. Your model is out in the wild now. Onto the next adventure, ...

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 ...

Staying focused – Using a methodology to organize your thoughts and project activities

So far in this series we have introduced the notion of Einstein Analytics Stories, why you may create one and from a high level what sorts of business problems and analyses you can approach using a Story. But, we’re sure you are aware, Stories are just part of the business problem you are tackling – ...

Einstein Discovery: How good is my model really?

As artificial intelligence, and specifically machine learning, is conquering today’s business world, a new way of human machine interaction enters our professional lives. We are more and more guided by predictive models that prioritise our work and give recommendations to improve our business. Once widely adopted, this embedding of so-called augmented analytics can bring tremendous ...