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      Enterprise Data Cloud

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

    Cloudera Fast Forward Labs Research

    Never leave your predictions to chance

    Understanding the business value of innovation at the intersection of machine learning, data science, and statistics can pay off, bringing the recently possible into the realm of possibility and providing key competitive differentiation for your organization.

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    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.

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    How to apply deep learning for anomaly detection in the enterprise

    What's in a research subscription?

    A Cloudera Fast Forward Labs research subscription opens up new use cases for your data and delivers a vital head start through:

    • Quarterly 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
    • 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

    Latest research

    Deep Learning for Anomaly Detection

    From fraud detection to flagging abnormalities in imaging data, there are countless applications for automatic identification of abnormal data. This process can be challenging, especially when working with large, complex data. This report explores deep learning approaches (sequence models, VAEs, GANs) for anomaly detection, when to use them, performance benchmarks, and product possibilities.

    Explore the prototype

    Read the report

    Deep Learning for Anomaly Detection

    AI experiments

    A showcase of interactive machine learning visualizations and code for data scientists

    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

     

    • Distributed model training using Dask and Scikit-learn
      The theoretical bases for Machine Learning have existed for decades yet it wasn’t until the early 20...
    • Cloudera Fast Forward: Quarterly Updates – January 2020
      Cloudera Fast Forward is an applied machine learning research and consultancy group at Cloudera. We ...

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

     

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    Cloudera Fast Forward Labs Datasheet

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