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OORT DataHub Launches to Revolutionize AI Data Collection

oort datahub unveils ai data collection

The OORT Foundation has officially launched its OORT DataHub, a decentralized platform aimed at improving data collection and labeling processes for artificial intelligence (AI). Going live on December 11, the platform intends to tackle persistent challenges in AI development, particularly those related to data transparency and integrity.

By integrating blockchain technology, OORT DataHub seeks to reduce the costs associated with data collection and enhance security for both businesses and researchers who depend on large datasets for AI training. This solution promises to make data handling more efficient and secure, while ensuring that it is both traceable and transparent.

Advancing the OORT Ecosystem

This launch is an important milestone for Oortech, the company behind the OORT Foundation, following its earlier introduction of the Edge Device, a decentralized storage node. Together, the Edge Device and OORT DataHub form the foundation of the OORT ecosystem, which is designed to propel blockchain-enabled AI solutions forward.

OORT’s co-founder and CEO, Max Li, emphasized that trusted and traceable data has become a significant bottleneck in the race to advance AI technologies. According to Li, the OORT DataHub is strategically positioned to address this challenge and provide a solution to the growing demand for reliable, transparent data in AI development.

Building a More Secure and Inclusive AI Future

One of the key features of the OORT DataHub is its elimination of intermediaries in the data collection process. By removing third-party involvement, the platform offers a more secure and participant-controlled system. The platform allows global contributions, helping to create diverse datasets necessary for training accurate and effective AI models. Additionally, the use of blockchain technology strengthens the integrity of the data, reducing the likelihood of manipulation and supporting ethical AI development.

Oortech has stated that these features demonstrate the company’s commitment to promoting transparency and privacy in a sector that has often been criticized for its lack of openness. The OORT DataHub’s decentralized nature aims to ensure that AI development remains accountable and transparent, responding to industry demands for more ethical and responsible practices.

Expanding Accessibility with OORT DataHub Mini App

Further expanding the ecosystem, Oortech has announced the launch of the OORT DataHub Mini App, which will be available on Telegram’s platform. The app is designed to make it easier for users to contribute data and take part in decentralized data collection efforts. By leveraging Telegram’s vast global user base, Oortech hopes to drive adoption and increase collaboration across a broader range of contributors.

 

The Mini App is positioned to simplify user engagement with the platform, fostering more widespread participation in data-driven AI development while enhancing the accessibility and user-friendliness of the OORT ecosystem. This move is expected to further encourage a decentralized, collaborative approach to AI data gathering.

A Step Toward Ethical AI

The introduction of the OORT DataHub reflects a broader vision for the future of ethical AI, underscoring the importance of decentralized solutions that reduce costs, improve security, and promote fairness in AI-driven innovation. Industry analysts note that the OORT DataHub’s decentralized approach could help address several critical challenges in AI development, including privacy, security, and global accessibility. The platform’s focus on these issues aligns with growing calls for more responsible and ethical approaches to AI development.

As Oortech looks to expand its operations, the company is inviting businesses and individuals to explore its platform and contribute to its mission of reshaping the future of AI development. Through its focus on decentralized, transparent, and secure data collection, OORT DataHub aims to become a key player in the evolving AI landscape.

 

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