Karl Smith Founder of UbiNET Inc to lead augmented intelligence global enterprise Decision Point

Initially discussed as a Joint Venture with Paradigm Interactions Inc the new subsidiary Decision Point of the as yet unnamed Augmented Intelligence Corporation will be lead by our CEO, Karl Smith.

Decision Point is the only #dddm_ai company, for #augmentedintelligence in #fintech #medtech #suptech #regtech #govtech #sectech #edtech #insurtech

Karl Smith, Decision Point

Always leading from the front Karl continues to drive innovation and consulting to new opportunities and possibilities for clients.

About Decision Point

The world is experiencing Data Overload and Insights are highly interpretive and time sensitive. Critical decisions cannot wait for manual analysis to create contextual meaning from insights, they need to be automated to deliver decision guidance and Augmented Outcomes for Companies, Executives and Shareholders.

man think how to solve the problem

Decision Point augmented intelligence supports decision making when there is a lack of data to otherwise make decisions

Karl Smith, Paradigm Interactions Inc.

Decision Point has unlimited potential in all verticals and sectors and can deliver information in a useful format on which to based decisions. Additionally in line with the All-Party Parliamentary Group on Data and Analytics policy document Trust, Transparency and Technology: Building Data Policies for the Public Good, will have an Algorithmic Operational Passport linked to the existing capacity to create regulatory point in time reporting. Paragraph added 22nd May 2019

Decision Point, Decisive Impact

With the levels of complexity and constant market movement experienced by organisations, enterprises, divisions defining the right question can often be a huge and expensive process. Long before being able to decide the next move, having the capacity and time to understand all the data points, opinions and perspectives requires months or years to confidently direct transformation, customer relationship management, operational risk management. And for fast moving aspects of commerce, transactions need to rely more and more on automation.

Companies need traceability and proof to make decisions and technology alone cannot deliver that assurance

Decision Point creates augmented outcomes binding technology and human insights that enables decision makers and automated systems to deliver confident, effective and influential decisions driving organisations, enterprises, divisions and markets to new levels of success.

The science; subjective logic for augmented intelligence

A fundamental aspect of the human condition is that nobody can ever determine with absolute certainty whether a proposition about the world is true or false. The human capacity to create theories or hunches can have profound impact on the direction and effectiveness of organisations, enterprise and countries. Decision Point utilises an Augmented Intelligence Platform built on subjective logic to refine and explicitly emphasise the factors and certainties that underwrite decision options. Additionally the Decision Point Augmented Intelligence Platform utilises human insights as part of its data queries to augment the processing power of the AI with context and meaning of that data through human knowledge and expertise.

Subjective logic is a type of probabilistic logic that combines the capacity of probability theory to handle uncertainty with the capacity of deductive logic to exploit structure of formal argument. Subjective logic explicitly takes uncertainty and source data trust into account. Subjective logic is suitable for modelling and analysing situations involving uncertainty and relatively unreliable sources.

Subjective logic can be used for modelling and analysing trust networks where a measurement of the degree to which one social actor (an individual or a group) trusts another social actor and Bayesian networks that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). Bayesian networks are ideal for taking an event that occurred and predicting the likelihood that any one of several possible known causes was the contributing factor. For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms.

UbiNET AI Blockchain

UbiNET Update

UbiNET Inc is an IoT 3 Smartliving Platform company that links organic and inorganic items on a planet wide unique identity system, it uses proprietary technologies including a twin AI blockchain and is operated in accordance with the secondary handshake Open Network Ecosystem Protocol ONEP.

The UbiNET platform has many use cases one is the removal of all counterfeit products through the full lifecycle management of everything from Creation to Recycling.

Open Network Ecosystem Protocol “covers the use of a secondary handshake through the central registration of all items. This registration is both distributed and localized and cannot be edited (existing in real-time) but can be added to, to establish the current; status, location and identification of any item. This is an extension of the current network paradigms on two fronts one to confirm identity of all network items and two to move this identification beyond technology based items into remote data about all items that are in the creation to recycling lifecycle” excerpt from patent.

The platform has a number of components;

  1. Operational definition described in the Open Network Ecosystem Protocol ONEP, which defines the lightweight data architecture used and its ability to absorb existing Closed IoT 1 and IoT 2 systems data (see descriptions here). ONEP also includes the operational characteristics for each network;
    1. Personal area network (PAN)
    2. Local area network (LAN)
    3. Metropolitan area network (MAN)
    4. Wide area network (WAN)
  2. Twin private Blockchain balanced and verified through AI, that monitors individual users daily mutating identity key for ‘is present’ and ‘is not present’ transactions.
  3. Embedded micro sensor technology that uses ambient power so that everything organic and inorganic can have a sensor.

In the last six years we have been able to take the concepts from the self building data architecture and transaction history of BitCoin in Blockchain and create our own Blockchain called Ubi.

Ubi is a next generation blockchain that firstly does not use existing codebases associated with blockchain. Ubi is based on Object Oriented Programming that ultimately lends itself to micro services and an API marketplace where companies will be able to engage with Ubi but not through its source code.

There are still a number of limiting factors which are dramatically impacting the ability of UbiNET to be launched;

  1. 5G was expected to have a near unlimited number of connections through the use of MIMO (multiple input, multiple output), unfortunately limits of one hundred billion have been discussed at the 5G Forum at the Mobile World Congress in Barcelona in 2017. This would dramatically limit the use of the system to just 100,000 participants.
  2. There are problems in scaling the blockchain, even by using virtualisation technologies like cloud computing and the light weight nature on ONEP latency could be an issue. due to the vast volumes of transactions and related data calls. Even in cloud computing there are servers and they need to be located somewhere to build a planet wide server system we have investigated on land, undersea and space based farms and don’t have a solution. The use of third party vendors has been ruled out do to access to the source code.

Given no immediate resolution to these impediments our rollout date for UbiNET of 2022 is being put back to 2030.

thingcoin cryptocurrency coin

As ThingCoin is directly related to the value proposition of UbiNET it also won’t be released until there is a clear value to investors.

UbiNET AI Blockchain

#UbiNET twin #AI #Blockchain with mutating #security #algorithm

UbiNET platform architecture is built on two key components;

  • a twin blockchain written in an AI codebase called UBI (originally based on Prolog with attributes of .NET) developed specifically for UbiNET
  • a mutating security algorithm derived from the unique platform functional architecture

By interlinking the security algorithm derived from every transaction only the next ordered AI Blockchain knows what the structure of an acceptable contract is.

is built on a that we own entirely . We have two that run the we own the too. We can any with

Phase 2 completed in 2016.

UbiNET Florida

UbiNET Inc. expands into Florida

UbiNET Inc. has recently opened it’s start up office in St Petersburg, Florida. The company expects to launch it’s first funding round in 2018 as the technology to deliver the UbiNET.

“We choose Florida because of the rich source of engineers with data-mart and secure networking experience from defence IoT, aerospace, space exploration and financial services” CEO Karl Smith

UbiNET Inc. is a diverse company with it’s Innovation and Strategy coming from Scotland and it’s Creative Direction from London and as it evolves it’s engineering backbone will be based in Florida.

“Florida has the best network engineers on the planet” CEO Karl Smith