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Author Topic: [VN3T story] Decentralized Marketplace For Global Data Network  (Read 64 times)
vn3t
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November 24, 2017, 09:25:21 AM
Last edit: November 26, 2017, 02:49:49 PM by vn3t
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https://i.imgur.com/dKTCziE.jpg
One of the fast growing market is global data network.

As more businesses expand into international markets, the ability to make quick, sound decisions has become increasingly important.
To help businesses successfully expand into these markets with confidence and agility, companies make their own data assets and update it continuously using modern techniques such as AI and machine learning.

But not all business can access these data assets and techniques.
Vast amount of data and calculation is needed and big data, distributed, clustering, and so many knowledge is necessary for these type of business.

Building infrastructure using blockchain and GPU pooling may be one of the successful idea for this type of business, as it will provide a large scale of possibility for resolving many problems of global data network.

VN3T is a two-way marketplace designed for an ecosystem of data and algorithm stakeholders. The infrastructure is built using blockchain distributed ledger and self executing code technology which handles multi-layered transactional environment supporting a real-time service creation scaling market in the form of software as a service (SaaS) or “building block” strategy.

VN3T intends to aid small, medium and large firms to easily, and safely monetize their data and algorithm services, while proposing that the data follow a standardized model using a data visualization tool and training sandbox. These features enable buying and selling of structured data as well as calculated statistics via an application program interface (API) abstraction model or “channel”. These channels are then used by a community of algorithm service providers to create and offer an ever expanding number of services.  VN3T is tackling the challenge associated with scalability, big data, machine learning,  structured data and bias analysis by operating a parallel network of super computing power in the form of collective graphics processing unit (GPU) pooling effort, branded as “mining”.
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