Your browser is out of date

update your browser to view this website correctly.


  • Log Out

How to deploy interpretable models to business users

Fast Forward Labs Research now available without a subscription

moving forward, all new reports will be publicly available and free to download. in addition, we will be providing access to updated versions of older reports over time, so check back often to explore available free research.

Your data nerd best friends

sb沙巴体育despite its promise, machine learning can be downright daunting. best efforts can be quickly undermined by uncertainty about a rapidly changing technical landscape, bewilderment on how best to build and organize teams, and difficulty separating hype from reality. 

free up executives and data science teams to focus on the future of the business with a virtual dedicated research staff that continually monitors the latest techniques and industry best practices, determining how best to apply them to your difficult business problems.

sb沙巴体育cloudera fast forward labs research focuses on emerging trends that are still changing due to algorithmic breakthrough, hardware breakthrough, technological commoditization, and data availability. accompanying the reports are working prototypes that exhibit the capabilities of the algorithm and offer detailed technical advice on its practical application.

What’s in a research report?

sb沙巴体育a cloudera fast forward labs research report opens up new use cases for your data and delivers a vital head start through:

  • Research reports, which focus on different emerging data and machine learning-enabled capabilities that will be relevant in a six-month to two-year timeframe
  • A prototype demonstrating its application

In addition, you can subscribe to our newsletter for updates on new research and developments in the field.

Latest research


Causality for Machine Learning

The intersection of causal inference and machine learning is a rapidly expanding area of research that's already yielding capabilities to enable building more robust, reliable, and fair machine learning systems. This report offers an introduction to causal reasoning including causal graphs and invariant prediction and how to apply causal inference tools together with classic machine learning techniques in multiple use-cases.

Causality for Machine Learning

Cloudera Machine Learning Advisory Services

understand where to focus valuable resources, how to implement effective practices, and how to expedite moving from development to production while avoiding technical dead ends.

The Fast Forward Labs Blog


  • At Cloudera Fast Forward, we see model interpretability as an important step in the data science wor...
  • Cloudera Fast Forward is an applied machine learning research and advisory group at Cloudera. We exp...

Keep up with tomorrow

sign up for our monthly newsletter and get the latest on advances in applied artificial intelligence, as well as company news and events.


Learn how to combine causal inference with machine learning


Learn why and when to use deep learning for anomaly detection.


Advancing ML with Deep Learning and Transfer Learning


Cloudera Fast Forward Labs Datasheet

Contact us about an existing subscription

Your form submission has failed.

sb沙巴体育this may have been caused by one of the following:

  • Your request timed out
  • A plugin/browser extension blocked the submission. If you have an ad blocking plugin please disable it and close this message to reload the page.