Avoid analysis paralysis
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.
Expensive high-profile “AI” pilot projects can quickly consume investments in people, infrastructure, and technology before even reaching production. With the right clarity and guidance, you can easily overcome these challenges to take advantage of machine learning technologies to differentiate your business.
Your data nerd best friends
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’ applied machine learning research—and complementary strategic advisory services—provides just the clarity and practical guidance your busy organization needs.
Research topics are identified from data and machine learning-enabled capabilities that will be relevant in a six-month to two-year timeframe. A Cloudera Fast Forward Labs research subscription opens up new use cases for your data and delivers a vital head start through:
- Quarterly reports focusing on a different emerging machine learning technology
- A prototype demonstrating its application
- Access to all previously published research reports and prototypes
- A weekly newsletter with updates on new research and developments in the field
- Four hours per month of remote consulting to support your data and machine learning efforts
Featured reports and prototypes
Our 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.
Multi-Task Learning
In our latest report, we focus on multi-task learning, a new approach to machine learning that allows algorithms to master tasks in parallel.
Interpretability
In this report, we show how to make models interpretable without sacrificing their capabilities or accuracy.
Summarization
Learn how to use deep learning and embeddings to make text computable for a variety of business applications and products.
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
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Multi-Task Sci-Fi: Havurtat
Each report we do features a science-fiction story inspired by the report topic. For our multi-task ...
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Progress in machine learning interpretability
Our goal when we do research is to address capabilities and technologies that we expect to become pr...
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New Dynamics for Topic Models
Topic models can extract key themes from large collections of documents in an unsupervised manner, w...
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