Shaip Cloud is not the only option for Data Labeling Software. Explore other competing options and alternatives. Data Labeling Software is a widely used technology, and many people are seeking simple, user friendly software solutions with automatic routing of labeling. Other important factors to consider when researching alternatives to Shaip Cloud include customer service. The best overall Shaip Cloud alternative is Prolific. Other similar apps like Shaip Cloud are AWS Glue, SuperAnnotate, Atlan, and Roboflow. Shaip Cloud alternatives can be found in Data Labeling Software but may also be in Machine Learning Data Catalog Software or User Research Tools.
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AWS Glue is a fully managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load their data for analytics.
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data.
Extract, transform, load for computer vision. Your datasets in every format. Balanced, labeled, versioned.
Unlike other data and AI governance solutions, Collibra offers a complete platform, powered by an enterprise metadata graph, that unifies data and AI governance to provide automated visibility, context and control—across every system and use case—and enriches data context with every use. The platform lets your people trust, comply and consume all your data while the enterprise metadata graph accumulates context with every use. Collibra’s automated access control safely puts data in your users’ hands without manual intervention, bringing more safety and more autonomy to every user to accelerate innovation. And Collibra AI Governance is the only solution that creates an active link between datasets and policies, models and AI use cases — cataloging, assessing and monitoring every AI use case and associated data set.
Alation is a data catalog designed to empower analysts to search, query & collaborate on data to gain faster, more accurate insights.
Privacy1's Zero Trust Data Protection solution offers a comprehensive approach to safeguarding personal data by applying privacy-aware security directly to the data assets. This method shifts the focus from traditional perimeter defenses to a data-centric strategy, ensuring that sensitive information remains protected regardless of its location within the system. By encrypting data and implementing purpose-specific access controls, Privacy1 enables organizations to manage data access based on legal purposes, approved systems, and authorized personnel. This approach not only enhances data security but also ensures compliance with privacy regulations and builds trust with customers. Key Features and Functionality: - Consistent Protection: Maintains a uniform level of data security as information moves across various systems, regardless of differing perimeter security measures. - Purpose Control: Allows access to sensitive personal data solely for specific legal purposes, ensuring that data usage aligns with organizational policies and regulatory requirements. - Privacy Awareness: Integrates privacy considerations into data protection, enabling control over data usage across the organization from a legal standpoint. - Data Encryption: Ensures that data is encrypted, making it accessible only to legitimate systems and users for authorized purposes, both at rest and during transit. - Automated Privacy Rights Management: Facilitates the automation of data subject rights requests, such as access, erasure, and consent management, reducing manual overhead and enhancing compliance. Primary Value and Problem Solved: Privacy1's Zero Trust Data Protection addresses the critical challenge of data breaches and unauthorized access by implementing a data-centric security model. By encrypting data and enforcing purpose-specific access controls, it ensures that even if perimeter defenses are compromised, the data remains unreadable and secure. This solution not only mitigates the risk of data misuse but also simplifies compliance with privacy regulations, reduces operational costs associated with manual data protection processes, and enhances customer trust by demonstrating a commitment to data privacy and security.
An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.
The hub of Clarifai’s technology is a high performance deep learning API on which a new generation of intelligent applications is being built. It enables Clarifai to combat everyday problems with high tech solutions by providing the most powerful machine learning systems to everyone in new and innovative ways.