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    • Deploy and scale production machine learning in minutes with the MLOps platform for enterprise and edge

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    August 16, 2022
    Modzy Named in Nine Gartner® Hype Cycles™ for 2022
    August 01, 2022
    Tech Talk: Hyperparameter Optimization with Ray Tune
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Blog


  • Press   |   August 25, 2020

    CMSWire: How Algorithmic Trust Models Can Help Ensure Data Privacy

    Algorithmic trust provides end users and business leaders the peace of mind to be able to track how and where AI is…

  • Press   |   August 25, 2020

    Toolbox: Artificial Intelligence: To Build or Not To Build?

    Josh Elliot, head of operations at Modzy, discusses how the build versus buy decision is not mutually exclusive when it comes to…

  • Press   |   August 25, 2020

    VentureBeat: ModelOps: MLOps’ next frontier

    ModelOps also provides business leaders insight into model performance and outcomes in a transparent and understandable way that doesn’t require translation or…

  • Press   |   August 19, 2020

    WATCH: Modzy’s Josh Elliot on the Art of Buying AI

    WashingtonExec senior writer Amanda Ziadeh sat down with Josh Elliot, head of operations for artificial intelligence software platform Modzy, to discuss how…

  • Blog   |   August 13, 2020

    Modzy Governance and Operations Overview

    Governance is a crucial component of deploying and scaling AI to the enterprise. Listen to Modzy’s Head of Product, Seth Clark, talk…

  • Blog   |   August 12, 2020

    Explainable AI

    Explainable AI and interpretable AI have emerged as new ways of building trust in AI-enabled decisions. Model interpretability is the degree to…

  • Press   |   August 6, 2020

    Test Guild: Data Poisoning and Adversarial AI with Dr. Arash Rahnama

    AI is everywhere, but have you ever thought about how it can impact security? Or how to test for AI-exposed security risks?…

  • Blog   |   August 6, 2020

    Published Research – An Adversarial Approach for Explaining the Predictions of Deep Neural Networks

    Abstract: Machine learning models have been successfully applied to a wide range of applications including computer vision, natural language processing, and speech…

  • Blog   |   August 6, 2020

    Published Research – CVPR 2020 Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory

    Abstract: Deep neural networks (DNNs) are vulnerable to subtle adversarial perturbations applied to the input. These adversarial perturbations, though imperceptible, can easily…

  • Blog   |   August 6, 2020

    Published Research – KDD 2019 Connecting Lyapunov Control Theory to Adversarial Attacks

    Abstract: Significant work is being done to develop the math and tools necessary to build provable defenses, or at least bounds, against…

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