Commercial Release Set to Go Live in One Month
NEW YORK CITY, NY / ACCESSWIRE / October 21, 2024 / OORT, leading cloud platform for decentralizaed AI, launches the beta testing of OORT DataHub, addressing the common issues faced by AI data collection and labeling. It leverages the blockchain technology, making data labeling for AI more accessible and safer globally. Pioneering this approach, OORT coined the term "decentralized data labeling".
The world is witnessing the transformative power of artificial intelligence (AI) across industries, from healthcare to finance, manufacturing to retail. Behind every AI-powered product or service is a sophisticated model trained on vast amounts of data. These models require not only the collection of huge datasets but also the careful annotation, or labeling, of that data.
The Challenges of AI Data Collection and Labeling
Data collection and labeling are fraught with hurdles, many of which slow down AI development and drive up costs. First, the sheer volume of data required to train effective AI models is staggering. Manually labeling this data is time-consuming, labor-intensive, and expensive. In some cases, it requires experts-think of annotating medical images, which may need the input of trained radiologists, or legal documents requiring legal experts.
On top of that, ensuring consistent, high-quality annotations across millions of data points is a constant battle. Variations in human interpretation can lead to inconsistent labels, skewing the training process and reducing the AI model's reliability. Moreover, privacy concerns around sensitive data, such as personal health records, add another layer of complexity to the process, often stalling or limiting data availability.
These challenges collectively act as bottlenecks, slowing down the deployment of high-quality AI applications, especially for enterprises that may not have the resources to scale data labeling efficiently.
Key advantages and benefits brought by the OORT DataHub:
Global Participation
Decentralized data labeling opens up a world of opportunities by enabling global participation, where individuals from diverse backgrounds and regions can contribute their skills regardless of geographic location. This approach not only democratizes access to work but also incentivizes contributors by leveraging the blockchain technology, making the process faster, more inclusive and accessible. This model empowers individuals while contributing to the growth of AI and machine learning systems, ultimately fostering innovation in a fairer, more transparent environment.
Full Transparency
Blockchain enhances transparency in data labeling. Every step, from task completion to payment, is recorded and verified on the blockchain. This transparency prevents mistakes or disputes and increases trust between AI projects and their workforce. In Datahub, OORT uses its own high-performance layer-1 blockchain - Olympus Protocol- to achieve transparency.
Data Security
All data on DataHub will be stored on OORT Storage, our enterprise-grade decentralized storage solution. Both raw and annotated data are encrypted and split into multiple pieces, stored across different locations, ensuring they cannot be tampered with or accessed without authorization. In contrast, data managed by centralized cloud platforms is more vulnerable to breaches and hacking.
Immediate Payout
Smart contracts ensure tasks are easily assigned and payments are made within minutes. In contrast, traditional methods are slow and complicated, often taking weeks or months. More importantly, OORT datahub introduces a novel reward mechanism where contributors receive NFTs (non-fungible tokens) to recognize their efforts.
A Community-based Approach to Tool Development
OORT DataHub connects community members to collaborate on creating data collection and labeling tools. These tools become more efficient and effective with input from programmers, data experts, and AI projects. The teamwork steadily improves the speed and accuracy of data labeling tools.
Quality Control
What sets OORT DataHub apart is its unique Proof of Honesty (PoH) system, a human-in-the-loop auto-quality control mechanism. This system ensures immediate verification of the accuracy of submitted data labels, unlike traditional companies that take time to manually verify results, often missing errors.
Recognized by Industry Thought Leaders Even Before Commercial Release
OORT recently entered into partnerships with industry leaders, including eCAT Center (under the National Science Foundation), and the Shenzhen Data Exchange, setting new milestones and standards in pushing the boundaries of AI ecosystem and data utilization. For more information on these partnerships, check out our previous blog articles:
A Deep Dive into OORT's Partnership with NSF's eCAT Center: Advancing the Future of Mobility and AI
OORT's Partnership with Shenzhen Data Exchange: Unlocking Opportunities for AI Growth in Asia
About Oort
OORT is a decentralized verifiable cloud computing platform for AI applications. OORT's network leverages global resources from data centers to local edge devices with a proprietary blockchain-based verification layer to secure all transactions and computations, from data crowdsourcing and labeling to model training and local inference. By harnessing the power of decentralized networks, OORT aims to return value to users while creating a more scalable and equitable future for AGI (Artificial General Intelligence).
SOURCE: Oortech LLC
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