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.

Why George Hotz, #Geohot thinking is superior to Elon Musk in Artificial Intelligence AI

The title of the post is perhaps a little misleading in one way, I really don’t think Elon Musk coded his AI, but I do think both he and George Hotz set the features, relationship and prioritisation around the work for their AI’s and in Georges case also built it.

In thinking about the design an artificial intelligence too many people think about the inputs and not the logic first. The critical path in AI design is

what are the features of the AI that make it intelligent beyond a binary interaction and where are these interactions focused

Karl Smith, Founder at UbiNET

Geohot took the classic hacker approach in relation to immediacy in defining his features, taking the problem statement to ‘how to teach a car to drive’ instead of ‘how to understand the world in which a car moves’. These are fundamentally different approaches to the same question producing radically different solutions.

Tesla and Elon Musk

The Tesla solution is an ecosystem approach, from friend who have them the end to end experience of buying, getting and using a Tesla is orchestrated in much the same logic as the AI is designed. The Tesla AI maps the world and creates not just an in the present experience but a sense of knowing relative environment and future risk. This is much the same way as drivers make constant assessment of context based factors in their driving responses. However this way of building AI is extraordinary expensive not just in the initial build but also in the maintenance with constant updates.

George Hotz

The George Hotz solution is at the other end of the spectrum, its focusing on actually learning to drive and making the AI responsive to environmental change rather that mapping the world. In the film below George makes a statement “drive naturally like a human not some engineers idea of safety” at 4.50 onwards which I used in 2016 when I spoke at SXSW in Austin, USA about Cognition Clash in the Internet of Things, that is fundamental in building Artificial Intelligence that is adaptive rather than limited by human perceptions on how we think we do things.

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

City

#Rural #UltraBroadband signals the end of a focus on #Cities instead #LiveSmart

One of the essential requirements for the IoT is integrated and distributed networks, until recently the only way possible to deliver this was either in cities with their high fidelity infrastructure or on a peer-to-peer mobile network using 4G. With the inception of recycled infrastructure by companies like Huawei and the deployment on 5G in 2020 cities cease to afford the benefits required to absorb the huge costs of their use.

The prediction of #Smart #Business is #Smarter not locating to a #SmartCity in 2016 by UbiNET CEO Karl Smith make the clear case of;

Why do we need cities?

They create centralization of people and resources however they also drive costs as often space is insufficient for demand. There is a huge dependency on the need for workspace, shops and local living accommodation.

Lets not buildSmart Cities, lets Live Smart instead

No City Smart Business

In a #SmartEconomy with people engaged in #SmartLiving people rely on digital communications not face to face engagements. Unless direct physical contact with another person is required for your job you don’t need to be physically present. Most work can be distributed to multiple locations across the planet. Even specialist surgeons can now work remotely and have been doing so for some time, even surgery can now be done through a physical / virtual interface.

Summary

The cost of creating Smart Cities is huge and relates to infrastructure for jobs and services that won’t be required in the mid term, they will not make a profit and may even not cover their cost of creation and installation.

The Smart solution is a distributed model not a centralized one

Creating these types of services takes a huge investment and without the confirmation of a captive customer base, it should be interesting to see how capital can be raised and who will take this risk.

UbiNET AI Blockchain

UbiNET issues two cryptocurrencies the #ThingCoin and #UbiNET Token

As part of the platform development process for #SmartLiving UbiNET Inc. has launched two cryptocurrencies the ThingCoin and UbiNET Token. The two currencies work together within the platform to both secure identity and enable transactions.

thingcoin cryptocurrency coinUbiNET Token is the user access token for the UbiNET platform and ThingCoin is the transaction currency within UbiNET.

We have only issued a limited number of access tokens and transaction coins at this point to test the ecosystem and evolve a number of market propositions, say’s CEO and Chief Scientist Karl Smith

The UbiNET platform is reliant on several technologies including, micro sensors that use ambient power, blockchain, cryptocurrencies, 5G and artificial intelligence as defined in the Open Network Ecosystem Protocol patent and won’t launch until they are all aligned.

We have not ruled out an ICO to create the funding for a city state test of UbiNET but we want to be sure that investors gain a benefit before we move in that direction, we are reviewing several funding options at this stage but will continue to use our consultancy profits until real value can be offered to investors, say’s CEO Karl Smith

Pi-UbiNET

UbiNET Inc. has incorporated as a subsidiary of Paradigm Interactions Inc.

Last week Paradigm Interactions Inc. created a new subsidiary UbiNET Inc. set up as a stock corporation to support several funding rounds to deliver it’s global technology, data and service platform. This change in strategy is due to an over subscription for Series A investment which has created a focus on investors outcomes.

The formation of UbiNET Inc. will have no immediate impact on staffing and facilities but it is intended to focus R&D on the open network ecosystem protocol already filed at USPO.

The CEO of Paradigm Interactions Karl Smith described this change as “it’s fundamental that we have the business structures in place to enable investors to have clarity around their participation” further “having worked in global M&A and with VC funded start-up’s, I recognise that a good idea needs to be supported by and understanding of how to facilitate investment, engagement and exit”.

Further details will be published here.

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