Your browser is out of date

Update your browser to view this website correctly. Update my browser now


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

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.

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?

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


Deep Learning for Automatic Offline Signature Verification

Handwritten signature verification aims to automatically discriminate between genuine and forged signatures, and is a particularly important challenge due to the ubiquity of handwritten signatures as a form of identification in legal, financial, and administrative domains. This research cycle explored the use of deep metric learning approaches - specifically siamese networks - combined with novel feature extraction methods to improve upon traditional techniques.

Read the report

Explore the code

Few-Shot Text Classification

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


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 to how to build an automated question answering system with deep learning


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


Learn how to combine causal inference with machine learning


Cloudera Fast Forward Labs Datasheet

Contact us about an existing subscription

Your form submission has failed.

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.