Apr 17, 2018
The survey held by Approved Index in 2017 among British individual, small and medium- sized enterprises showed that launching a website allowed companies to increase their turnover by 45-62% [Approved Index, 2017].
Consumers and businesses face di erent sides of the same problem: the problem of personalizing, delivering and receiving a targeted message in the right format and at the right time. Seventy-seven percent of Internet users polled by Hubspot in 2016 said they would prefer seeing customized advertising messages rather than blocking ads completely in the browser. Obviously, intrusive and irrelevant ads have become a nuisance to web visitors looking to make a purchase.
Automated personalization of content has become the most anticipated technology according to the heads of advertising and marketing departments in the US [eMarketer, 2017].
What We Offer?
The uKit AI 2.0 platform that brings together a set of tools and services to customize web pages follows the principle of a dynamic landing page (di erent designs are kept at a single website address and a specific design is triggered depending upon the data on each audience segment), and uses machine learning practices as well as the data about each segment’s behavior.
uData — the base with datasets of how user segments behave on the Internet. The database is updated both through purchasing information from data management platforms (DMPs) where the details of di erent players of the advertising industry (websites, apps, advertising agencies, etc.) are forwarded, and thorough data contributions from other project members. Basically, uData will make it possible for everyone to use big data (consumer habits, interests, results of previous interactions, and so on) to automatically customize websites for di erent audience segments.
When a user visits the needed URL address, the system will automatically identify which segment this user belongs to and generate a list of recommendations to rebuild your landing page based on the details of their previous behavior. Users will be able to get a part of the token by sharing the amounts of data about how visitors behave on their websites. If a user decides to pass the data to our system, the transparency of this exchange will be ensured by blockchain.
Artificial intelligence monitors the website as a marketer, analyst and designer. AI identifies site visitors and figures out what they like; machine learning is used to improve the conversion; AI learns from the data: contribute and get tokens in return. It is based on:
Each member of the uKit AI ecosystem, if they wish, may contribute to the uData common database by providing datasets that combine the following information:
At the end of each reporting period (1 day or 1 hour), the uData system generates a record in a centralized public transaction log that contains a summary about the data added to the system by each member and the estimated number of tokens that will be transferred to each participant as a reward at the end of the HOLD period.
The estimated reward is calculated based on the percentage of data contributed by a participant, relative to the total amount of data in the system. The actual reward is calculated at the end of the HOLD period.
The record in the public transaction log is signed with a key that is added to the blockchain of the uData smart contract in the Ethereum system, which ensures that there’s no way to falsify the information in the public transaction log, despite the information storage being centralized.
At the same time, the centralized storage of the transaction log makes it possible to provide any level of detail in the report, since there’s limitation for the total amount of data stored in the Ethereum blockchain.
The data accumulated in the uData system are used for machine learning of the SMART models that allow community members to benefit from dynamic adaptation of the web pages for visitors. The SMART models will be constantly improving and learning by using new data received from the members of the system.
In order to provide users with the right to use uData in the proportion each user contributed to the development of the system, there's a mechanism of utilising tokens which allows processing a certain volume of traffic by using SMART models, which is proportional to the total amount of convertible traffic for the last completed reporting period prior to the current one.
Each batch of 10 000 tokens entitles you to a one-time conversion in the amount of 0.001% of all traffic that went through the system.
December 11, 2017 – January 1, 2018
February 19, 2018 – May 1, 2018
$2 020 000
This offer is based on information provided solely by the offeror and other publicly available information. The token sale or exchange event is entirely unrelated to ICOholder and ICOholder has no involvement in it (including any technical support or promotion). Token sales listed from persons that ICOholder has no relationship with are shown only to help customers keep track of the activity taking place within the overall token sector. This information is not intended to amount to advice on which you should rely. You must obtain professional or specialist advice or carry out your own due diligence before taking, or refraining from, any action on the basis of the content on our site. Any terms and conditions entered into by contributors in respect of the acquisition of Tokens are between them and the issuer of the Token and ICOholder is not the seller of such Tokens. ICOholder has no legal responsibility for any representations made by third parties in respect of any Token sale and any claim for breach of contract must also be made directly against the Token issuing entity listed herein.
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