Analytics

Introducing MLOps And SDX for Models in Cloudera Machine Learning

It seems everyone is talking about machine learning (ML) these days — and ML’s use in products and services we consume everyday continues to be increasingly ubiquitous. But for many enterprise organizations, the promise of embedding ML models across the business and scaling use cases remains elusive. So what about ML makes it difficult for enterprises to adopt at scale?

Building an application to predict customer churn

Too often, companies are finding out after the fact that customers have stopped using their product or service, without enough notice to have done anything about it. The term customer churn is used to describe the loss of existing customers. These are people or organizations that were using a company’s products and/or services and have decided not to use them anymore, in favor of a competitor. Tracking customer churn is a key business metric for most companies.

How design flexibility gives you a better dashboard experience

Our Head of Product Design and Creative Director, Tony Prysten, has worked in brand, design and advertising roles over the course of his career. Bringing his wealth of experience to Yellowfin, he now shapes the creative and UX experience of our product. Here he shares his thoughts on how design flexibility improves the dashboard experience.

Not all AI Is Created Equal: Why Businesses Need Augmented Intelligence in 2020

We are now living in a truly hyper-connected environment where vast amounts of data are being transferred, gathered, and consumed daily. There are 3.9 billion internet users globally – a number that is still growing. Just think about the last time you were waiting for a Zoom conference call to start.

Paving the pathway to Cloudera Data Platform with Cloudera DataFlow

With the announcement of the availability of Cloudera Data Platform (CDP), our customers have been buzzing with excitement. While each one of you has been trying out different aspects of CDP, we do recognize that you are in various stages of maturity in terms of your current product adoption or implementation. Particularly, our Cloudera DataFlow customers are in various stages of product adoption.

Bloor Research identifies what makes a Modern Data Warehouse champion

When speaking with customers, I often hear that they are committed to digital transformation and being a data-driven enterprise. Those may just seem like abstract, lofty words to aspire to but the reality is much more practical. We have major banks needing to ensure that they have a complete view of their customers, and can reduce churn through personalized service and offerings. Telecommunications giants that absolutely need to maintain network health so there are no dropped calls or missed messages.