IAGON: A DECENTRALISED CLOUD STORAGE AND ARTIFICIAL INTELLIGENCE WI...

INTRODUCTION

Disruptive technologies are taking the center stage of most corporations and industries from the wide adoption of Big data and artificial intelligence. The mass adoption of these disruptive technologies shows the exponential demand for large storage capacity and the need for higher computational power. Big data technologies such as Hadoop requires large amount of data and storage capacity for processing and controlling Big data files. It's undeniable that Big data is the favorite tool for most corporations in managing their large stores of information, and running web-based applications and services.

On the other hand, artificial intelligence which involves machine learning and self learning processes such as Caffe and Google's Tensor flow, are needed to carry out advanced computational image recognition, pattern recognition, and predictive analysis that requires huge amounts of computational power. It's undeniable that there's a massive rush to incorporate these technologies into the modern of operation of most corporations and industries despite the fact that it is still in its infancy stage.

PROBLEMS WITH THE CURRENT CLOUD STORAGE AND ARTIFICIAL INTELLIGENCE

Yes, many companies have started to examine the plethora of applications that these technologies offers. Big Data or Cloud storage services consists of companies that offer big data services to both huge firms and small businesses. However, there are growing concerns over the safety of data stored on these platforms, and the reliability of these big data providers in cases of incorrectly stored or lost files. Other problems affecting Cloud storage failures includes crash faults, which occurs when files uploaded to the servers are inaccessible due to writing errors or CPU leaks.

On the other hand, Artificial intelligence which is projected to improve user experience and aid deep computational processes, are very exlensuv the to implement. Furthermore, the widespread implemention of artificial intelligence requires extremely powerful computational facilities. Therefore, companies need to purchase huge amounts of CPU and GPU, in order to carry out huge computational power that will support their artificial intelligence processes.

IAGON's BLOCKCHAIN SOLUTIONS

So, how can we bridge the gap between these disruptive technologies and accessibility to the masses?. Artifical intelligence needs large blocks of data, that can only be satisfied by Cloud storage facilities and Big Data. This large repertoire of data, allows the artificial intelligence or machines deep learning process, to look for trends and patterns within those huge data. Big data allows AI to make accurate inference and analysis. Therefore, most companies have to rely on centralized platforms that provides Artifical intelligence that can analyze huge data. Due to the commercial value and sensitivity of data, most companies are reluctant to subscribe to these centralized platforms of Artificial intelligence and Big Data.

Therefore, blockchain technology was utilized to provide fully secure and unique solution towards the storage, processing, and distribution of data, without destroy it's consistency and integrity. Today, decentralized storage networks are seem as a replacement for centralized cloud storage platforms, since it involves storing part or a whole file in different nodes.

IAGON was built to serve the decentralized network, and to integrate with current storage data facilities like NoSQL and SQL databases. Mind you, IAGON brings in a unique approach by using artificial intelligence algorithms to distribute computational load across a decentralized network for process and later decrypts or encrypts the data that flows through the system. In addition, IAGON can also be used to provide secure storage over clustered or decentralized networks, for creating smart contracts over Blockchain, and to identify prospective attacks on the platform.

IAGON's IMPROVED SECURE LAKE TECHNOLOGY

Data lake architecture is utilized by many Big data providers. Data lake architecture is a secure and easy form of storing data. Companies use data Lake architecture as a central depositery for all their information and data files, and it doesn't depend on the file content or file type. However, this forms of data storage is dangerous and less secure. Once a data lake architecture is hacked, the intruder can easily wade through the database system, and get access to all the information stored on it.

To curb this insecurity, IAGON's secure Lake Technology, freezes the lake by slicing, encrypting, and distributing the data lake files. It decentralizes data, and prevents any hackers from accessing the large repertoire of data. Lastly, lAGON is able to accomplish the aforementioned tasks through Blockchain's impervious security protocol.

THE PROJECT TEAM