Iagon (IAG) Decentralitation sistem of Blockchain review

btcveronica
by btcveronica Mei 11, 2018
"Iagon is a platform for harnessing the storage capacities and processing power of multiple computers over a decentralized blockchain grid. Iagon utilizes enables to store big data files and repositories, as well as smaller scales of files, and to carry out complex computational processes, such as those needed for artificial intelligence and machine learning operations, within a fully secure and encrypted platform that integrates blockchain, cryptographic and AI technologies in a user- friendly way." [2]
Iagon aims to tackle some of the biggest players in the cloud storage industry such as AWS (Amazon Web Services), Google cloud, Microsoft, and IBM. An ambitious task to say the least, and with the market for A.i and Big data computational tasks only expected to grow for the foreseeable future, their targeted market is huge. The Iagon A.i uses reinforcement learning, this means it learns over time to improve decision making. Reinforcement learning is intended handle learning and improving in a dynamic environment, this is done to optimize the slicing and distributing of data within the decentralized network.
Cloud Storage Market is projected to grow at a compounded annual growth rate of 29.73% to reach a total market size of $92.488 bln by 2022 [1]. Additionally the market for A.i computational processing power is continuously gonna grow with more than $100 bln invested in A.i companies in the last 5 years, all of whom rely heavily on massive amounts of computational power to run simulations for the A.i engine [3].
In 2016 was the first time a A.i engine was able to beat the world best player in the Ancient Chinese board game Go. It used a total of 1202 CPU's and 176 GPU's to do so which came in at an immense cost of $3000 per game played. These type of simulations is only the beginning for the A.i industry, and is expected to continuously grow the next 10 years. [4][5]
Most companies store vast amounts of data for the potential future use for extracting patterns using A.i engines, this does however require large computational power and is therefore often outsourced to larger actors, this can be very costly for most businesses. These companies often store this data in rented cloud storage, adding additional costs for simply holding this data, while they wait for a day where they can afford to run these pattern simulations using their data to improve their business, and make it more profitable.
The combination of cloud storage for this data, and the running of these a.i pattern simulations is the market that Iagon aims to tackle, adding more security and decreasing costs to the storage of the data. Iagons decentralized network and blockchain is built to be integratable with the current data storage databases like SQL and NoSQL.
Iagon is set to launch their pre-ico at march 15th, and shortly after launch the ICO. Iagon has a team of 12, with 5 developers and a marketing team of 5. Leading the company is Dr. Navjit Dhaliwal as CEO, and Dr. Elad Harison as COO. They are based out of Norway, but with developers residing in India primarily. Apart from that it seems that the entire team is distributed across the world, if they have an office in Norway or not is not disclosed. The background of the leadership comes in the form of a Denitistry degree and entrepreneurial experience as founder and CEO of tech related businesses by Navjit, and in Machine learning and A.i by Elad.

IAGON’s Token Economics is based on smart device, server and data center owners who join the storage and processing grids. In return for sharing the capabilities of their machines, they will be granted IAGON tokens that can be converted back to fiat money. Any party who wishes to utilize the storage and processing capabilities provided by he IAGON cloud platform will purchase IAGON tokens to distribute them to the contributors of the grid (i.e. “miners”) that provide their services to the grid. The storage mechanism will be based on blockchain encryption and delivery of encrypted file fragments to multiple storage facilities, so that none of the attributes of the file slices can be identified or deciphered by third parties. Miners can offer their free storage and processing capacities and can offer their service on the basis of their experience, available resources and storage space and bidding on price. Advanced Machine Learning and AI algorithms will be used to recommend prices to the users and miners connected to the Smart Computational Grid (SCG) and to classify them according to their price levels, continuity of services and access to files.

PRE-ICO

Pre-ICO start date:02.04.2018
Pre-ICO end date:30.04.2018
Pre-ICO Token Supply:200000000

ICO

ICO start date:10.05.2018
ICO end date:10.06.2018
ICO Token Supply:500000000
Soft cap size: 30,000,000 USD (fiat)
Soft cap:30,000,000 USD
Hard cap size: 77,000,000 USD (fiat)
Hard cap:77,000,000 USD
Raised:$ 843,000 USD

TOKEN DETAILS

Ticker:IAG
Type:Utility-token
Token Standard:ERC-20
Additional Token Emission:No
Token price in USD:1 Token = 0.120000 USD
Accepted Currencies:ETH, USD, BTC, LTC, DASH, USD, XMR, USD, XEM, NEO, MIOTA, WINGS
Bonus Program:
Pre-ICO


Looking through the current and previous work occupations of the members of the team could bring additional confidence in the confirmation of the partnership between Winjit since all the developers of IAGON list Winjit as their primary occupation.
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