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 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.

Karl Smith Tech Leaders Today CEO Paradigm Interactions Inc UbiNET

#UX #IoT and #Blockchain with #KarlSmith of Paradigm Interactions Inc

, , and with Karl Smith of Paradigm Interactions Inc.

Karl Smith is an inventor of open network UbiNET which he has patented and a holistic transformation consultant more involved with how humans have to deal with technology than the technology itself. Karl Smith is also former Global Head of Mobility User Experience at Accenture and Partner (founder), Global Head of Digital Design at Wipro Digital, current Chairman of the Human Centered Design Society and has relaunched or launched Design as a USP in several global enterprises.

Karl has always been fascinated by how technology can augment the lives of humans, his desire was not to build things that humans already do but to find out how technology could evolve all human experience. He is still looking for the Gene Roddenberry future today where humanity pulls together and projects all of us the next stage of evolution. Transformation is at core of this evolution; he’s highly engaged in Ubiquity or the IoT as it is a gateway point.