Best MLOps Platforms - Page 11
Machine learning operationalization (MLOps) platforms allow users to manage and monitor machine learning models as they are integrated into business applications. In addition, many of these tools facilitate the deployment of these models. With these tools, businesses can implement machine learning models and algorithms built by data scientists and developers. MLOps software automates deployment, monitors models' health, performance, and accuracy, and iterates on those models. Some tools provide features for doing this collaboratively. This enables businesses to scale machine learning across the company and make a tangible business impact.
Additionally, these products may provide security, provisioning, and governing capabilities to ensure that only those authorized to make version changes or deployment adjustments can do so. The tools can differ regarding what part of the machine learning journey or workflow they focus on, including explainability, hyper optimization, feature engineering, model risk, model selection, model monitoring, and experiment tracking.
These tools are usually language agnostic, so they can be successfully deployed no matter how an algorithm is built. However, some may focus specifically on languages like R or Python, among others. Some of these products are dedicated to tracking machine learning experiments to better understand the performance of models. In addition, some products provide the ability to augment users’ training datasets in order to improve model training.
Some MLOps solutions offer a way to manage all machine learning models across the entire business in a single location. Although similar to data science and machine learning platforms, this software differs since it focuses on the maintenance and monitoring of models instead of deployment.
To qualify for inclusion in the MLOps Platforms category, a product must:
Best MLOps Platforms At A Glance
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- Overview
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Shakudo ensures compatibility across data tools allowing companies to build the best data infrastructure for their needs. With Shakudo you can mix and match your data tooling to create a more reliable
- 50% Mid-Market
- 50% Small-Business
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The Researcher Workspace is build for Researchers in corporate R&D and academia to better handle vast amounts of research documentation. It is a content-centric platform that provides the user wit
- Overview
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TimeComplexity.ai analyzes runtime complexity, providing crucial insights to optimize your code performance.
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TruEra Research: Explainable ML A core research direction for TruEra is studying how to robustly explain models in order to understand, introspect, and trust them. TruEra solutions are based on years
- Overview
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TruEra Diagnostics is an AI Quality solution that helps data scientists to analyze and optimize machine learning model performance, explain model function, and minimize algorithmic bias. With TruEra D
- Overview
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TruEra Monitoring helps you easily track and troubleshoot machine learning model performance. With unique explainability and model quality analytics, TruEra Monitoring goes beyond basic observability
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TuplOS is an MLOps platform that was first implemented in the Telco industry, though it has already been successfully used in other industries such as Smart Agriculture or Smart Manufacturing.TuplOS®
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Our software platform gives every team the ability to validate, monitor, and secure their AI. CalypsoAI’s Vespr is an integrated model accreditation and model risk management system (MRM) used to de
138,129 Twitter followers
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VESSL is an end-to-end ML/ MLOps platform that enables machine learning engineers (MLEs) to customize and execute scalable training, optimization, and inference tasks in seconds. These individual task
66 Twitter followers
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Detect product defects in real-time. Our solutions range from product bottling to meat-processing plants. Factory vision includes processing multiple camera-feeds in near real-time, fine-tuned ML mod
- Overview
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Chiron App is an award-winning data science platform and a model validation tool specifically designed to equip model risk managers, data scientists, and model validators with an AI-driven tool that h
- 100% Mid-Market
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ZenML is an open-source MLOps framework that helps data teams deploy their machine learning pipelines. It abstracts the infrastructure complexity of MLOps without locking ML Engineers into any vendor.
