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Unification’s UAPPs the biggest fish in the sea called data economy.

The above statement is so true that in making it, I have no fear of being contradicted. The unification APP is a quantitative leap in the evolution of the data economy so much so that, once it is fully deployed, the data economy is sure to move to a new level. I shall soon make clear why this is so.

Permit me here to further explain what data economy is as this concept is in itself relatively new.

Whereas we all generate data, either at individual or corporate level, the standard up to recent times has been to place such little value on the data so generated that we often freely sign away the right to them in exchange for the right to use certain services even when we are paying for such services as in hospitals, banks etc.

As the computer and the internet matured, they made it possible to collate very big amounts of such data and with the introduction of machine learning and artificial intelligence, the collation, analysis and transmission of these data moved a few steps up. This gave  birth to the concept of Big Data.

If was soon discovered however that the collated data was not quite so adequately detached from the person it was generated from. Thus successful incursions into the data silos (centralized) could , and in many instances did, put the persons linked to the data in grave danger It also could act as a powerful tool in the hands ill-intentioned data thieves .

This in brief explains why the GDPR was ultimately established.

In spite of the danger posed by centralized data silos and generally by the old order of data gathering and data acquisition, the GDPR could not go so far as prohibiting data gathering. This was so because the emergence of big data has led man to new, admirable heights in the use of data to capture new heights in his evolution in crucial areas like health, environment etc.

The GDPR however set crucial new parameters for data gathering and in respect of the continued claim of the data generation to the data limited to them. Two of the crucial parameters relate to (1) The right of the person generating data to give or withhold permission for the use of data linked to him (his data)  and (2) the right to have such data erased.

The terms the data generator was allowed to set included the right to obtain value exchange (monetary or in kind) for the release of his personal data or to expressly grant it for free.

This proposition for the incentivisation of the data owner essentially led to what is now known as the data economy.

The data ecosystem has a number of persons that play different roles along the value chain that it represents. These are:

1.  Data providers: these collect user data by providing engaging application/ services. They possess silos in which such data they obtain are stored.

2.  Data consumers: these are entities willing to obtain data in exchange for some remuneration. They may also be data gatherers who simply need to extend their store of data by purchasing from other data gatherers (providers)

3.  End users are the sources of the generated data. They offer their data either directly  who or in the course of consuming an application or service.

This chain suffered from the absence of certain elements. Most significant was the need to keep the data from falling into wrong hands and to ascertain the source of leakage if such did happen.

Man was fortunate in that this new realization coincided with the appearance of a new technology – the Blockchain technology – which holds great promise for solving issues relating to data handling – capture, storage and retrieval especially.

Even so, some problems persisted. One was that there was no unified method of standardization and transfer of data. Thus, although individual data silos had moved up in terms of the size of data they could handle, their capacity for analysis etc, the overall data industry remained fragmented and enterprises could not transfer data one to the other in a seamless fashion.

Herein lies the  huge significance of the introduction of Unification's data liquidity  protocol which deploys a series of software development kits (SDKs) as CAPSULE on enterprise servers to standardize and encrypt data(the enterprise's existing data), allowing persons involved to transfer data peer to peer in a harmonized format.

The developers of the unification project also observed one other hurdle – the potentially high cost of storing data on the Block chain. Blockchains are arguably not the most conducive to storing large quantities of data. They are also not adequately secretive enough since anyone could query a block chain all the way back to its genesis block such that a compromised algorithm  could enable the jumping of access hurdles.  Finally, it was recognized that the immutable nature of blockchain represents a potential violation of the right of the user to have his/her data erased.

In reaction to the above, data is not stored on chain in the Unification project.  On-chain transaction is limited to hashes of  the data which are used to validate the data.  Actual data transfer is done outside the block chain via State Channels.

A final significant element of the Unification project is its Unified Verifiable Credential ID (UVCID) infrastructure which allows actors to securely issue, hold, distribute and cryptographically verify personal information.

Unification is in-sum an ecosystem of Data providers, Data consumers and Data end – users that utilizes blockchain technology, Machine learning and auxiliary software components to allow the monetized, secure transfer of data(Data Liquidity)

It is built around a web of smart contracts which allow the utilization and flow of data transfer agreements between Data Providers and Data Consumers while putting the control of the data flow in the hands of the users themselves . This is in recognition of the fact that data suppliers ultimately own and should be  remunerated for  their data. 

While unification is not the only blockchain project in this sphere, it distinguishes itself by  introducing :

a.   A data standardization protocol, thus enabling data liquidity.

b.  Avoidance of the potentially high cost of on-chain storage of data through the use of state-chain and its replacement by data hash and

c.   A credential ID infrastructure (UVCID).

 This game-changing project deserves the patronage of all cryptocurrency investors and adoption by all data economy actors.

Xentimentum : Blochchain changes the medical sector paradigm !

Man realised a long time ago that prevention is better than cure. His capacity for living by this dictum however remained constrained by a number of factors such as :

A.      His knowledge of diseases

B.      His knowledge of the early symptoms of ( even known) diseases

C.      His access to 24/7 monitoring of patients( potential patients as well as post treatment patients

D.      Lack of continuity in the data concerning patients,( due to lack of cooperation between medical institutions)  even when such data existed

The disruptive power of Blockchain is about to be deployed in this area of human life.

While there are a number of teams towards this, a project by the name Xentimentum is the clear leader  of the pack.

Once the intervention is complete, the following changes are expected amongst others:

1.       No matter the number of places (medical institutions ) a patient is treated in, no matter the distance between the places and no matter  how far between are the times of treatment, a patient will have a singular body of medical report. This body of records will be recorded on the blockchain and accessible from anywhere in the world and at any time, subject only to appropriate right os access

2.       There will be larger bodies of anonymised personal data accessible throughout the world and this will enable a wider  spread of the study of diseases which should accelerate the recognition and treatment of diseases

As we enter into this new era, Blockchain is nit the only relevant technology. It is being aided by two very important developments, namely Big Data and Internet of Things (IoT)

As mentioned earlier, the use of Big Data and  Artificial Intelligence means that we are  analysing of a bigger body of data and therefore ca recognise bigger and finer patterns and that we can reach more valid conclusions.

Let us now look more closely at Internet of Things (IoT) !

Ever greater number of equipments used for measuring vital data in the medical field are acquiring :

i.                     The capacity for digital and therefore more accurate measure of their targeted data

ii.                   Capacity to store anad recall such data such that the data can be reviewed for patterns and trends

iii.                  Capacity to transmit such data in any or all of the following ways –

a.       To another machine or equipment such that appropriate reaction or followup action is triggered

b.      To a data aggregation device for both storage and analysis

c.       To a remotely located care giver , be it human or robot

This development means that patients (along, in some instances, with their environment can be monitored 24/7. This happens even when they are not on admission in a hospital and, when they are on admission, without medical personnel keeping vigil over their beds,

The above development will assist monitoring medical centres to have timely knowledge of a change in the condition of patients and to intervene in a timely manner,

When these facilities are combined with geo-locational technology, it means that even when the patient is not located within reach at the time an emergency occurs, he or she can be directed to the nearest location of expert intervention.

Xentimentum, the coin behind the launch of this new era in Medical practice will have it s ICO from to but you can pick a few for free in a an ongoing Bounties program. Given the numerous benefits as outlines earlier, the coin certainly deserves our support.

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