Giskard Description
Giskard provides interfaces to AI & Business teams for evaluating and testing ML models using automated tests and collaborative feedback.
Giskard accelerates teamwork to validate ML model validation and gives you peace-of-mind to eliminate biases, drift, or regression before deploying ML models into production.
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Google Cloud BigQuery
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Appcircle
An automated mobile DevOps platform designed for seamless integration, delivery, and testing of mobile applications, Appcircle offers enterprise-level control and flexibility. As a NoOps platform, it eliminates the necessity for specialized DevOps skills and resources, allowing businesses to cut operational expenses by as much as 20%. By automating and refining the continuous integration and delivery processes in mobile app development, it ensures that automation is executed effectively. Users are relieved from the burden of manual coding and the ongoing need to monitor build automation, and they can achieve this without requiring a Mac or any other specific setup for builds. With various trigger options available, users gain significant control over the timing of builds following a git push. The setup process is straightforward, enabling customization of build settings through an intuitive user interface that provides one-click access to frequently used configurations. This makes it a breeze to establish and operate, enhancing overall productivity in mobile app development. Furthermore, the platform's robust features are designed to adapt as your development needs evolve.
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Amazon SageMaker Pipelines
With Amazon SageMaker Pipelines, you can effortlessly develop machine learning workflows using a user-friendly Python SDK, while also managing and visualizing your workflows in Amazon SageMaker Studio. By reusing and storing the steps you create within SageMaker Pipelines, you can enhance efficiency and accelerate scaling. Furthermore, built-in templates allow for rapid initiation, enabling you to build, test, register, and deploy models swiftly, thereby facilitating a CI/CD approach in your machine learning setup. Many users manage numerous workflows, often with various versions of the same model. The SageMaker Pipelines model registry provides a centralized repository to monitor these versions, simplifying the selection of the ideal model for deployment according to your organizational needs. Additionally, SageMaker Studio offers features to explore and discover models, and you can also access them via the SageMaker Python SDK, ensuring versatility in model management. This integration fosters a streamlined process for iterating on models and experimenting with new techniques, ultimately driving innovation in your machine learning projects.
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Pricing
Pricing Starts At:
$0
Free Version:
Yes
Company Details
Company:
Giskard
Year Founded:
2021
Headquarters:
France
Website:
www.giskard.ai
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Product Details
Platforms
Web-Based
Mac
Linux
Types of Training
Training Docs
Training Videos
Customer Support
Online Support
Giskard Features and Options
Continuous Integration Software
Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management
Machine Learning Software
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Continuous Delivery Software
Application Lifecycle Management
Application Release Automation
Build Automation
Build Log
Change Management
Configuration Management
Continuous Deployment
Continuous Integration
Feature Toggles / Feature Flags
Quality Management
Testing Management
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