K·Yield v. - Yield Management of Knowledge

Inventor of the enterprise AI OS (KOS): Embedded governance, learning, prevention, security, and productivity.

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Exponential productivity through optimization of knowledge yield    

AI systems create value by converting human knowledge to digital form that can then be converted to other forms of energy, including kinetic. At the atomic level knowledge created by human intelligence and augmented by machine learning can be viewed and expressed as an extension of relativity discovered by Einstein more than a century ago....→


How-to Guide for Preventing School Massacres    

Observing lives lost and trauma from preventable tragedies is among the most frustrating experiences of my career. However, whatever frustration we feel pales in comparison to the pain victims and their family members experience.

Prevention of human-caused catastrophes has long been a top priority of our R&D. We have a desire and an obligation to provide insight into what can be done to prevent school shootings and other similar human-caused catastrophes. I sincerely hope this modest attempt to help will assist in taking specific pragmatic actions to save lives......→


A 20-year trek in AI systems    


This is a personal story about our real-world experience, which contains little resemblance to most of what is written about entrepreneurism and technology commercialization. While our journey has been longer than most, scientific commercialization (aka deep tech) typically requires two decades or more from theory to market. Even more rare in our case is that the R&D journey has been self-funded and very lean.......→


A Million In Prevention Can Be Worth Billions of Cure with Distributed AI Systems    


Every year, natural catastrophes (nat cat) are highly visible events that cause major damage across the world. In 2016 the cost of nat cats were estimated to be $175 billion, $50 billion of which were covered by insurance, reflecting severe financial losses for impacted areas.[i] The total cost of natural catastrophes since 2000 was approximately $2.3 trillion.[ii] Much less understood is that human-caused catastrophes (hum cat) have resulted in much greater economic damage during the same period and have become increasingly preventable.......→


Why Every Company Needs a New Type of Operating System Enhanced with Artificial Intelligence    

The Amazon acquisition of Whole Foods represents yet another confirmation of our rapidly changing business environment driven by opportunities at the confluence of technology and network dynamics. Although only the latest in a powerful trend initially impacting in this case the grocery industry, the business and technology issues driving the strategy are relevant to most and serves as a reminder that digital convergence is not confined to traditional thinking or industry lines.. Please keep that in mind while reading......→

An Open Letter to Fortune 500 CEOs on AI Systems from Kyield's Founder    


Since we offer an organizational and network operating system—technically defined as a modular artificial intelligence system, we usually deal with the most important strategic and operational issues facing organizations. This is most obvious in our new HumCat offering, which provides advanced technology for the prevention of human-caused catastrophes....→

Why the U.S. Must Lead the World with Intelligent Infrastructure

The focus should be maximize benefits from our inventions, engineered systems and technologies to recreate a sustainable competitive advantage. One benefit of lagging behind other countries in infrastructure is that much progress has been made in recent years. Future projects can be embedded with hardware that enable intelligent networks, which can then be managed with distributed operating systems enhanced with artificial intelligence (AI) to meet the diverse needs of our society......→


E-book: Ascension to a Higher Level of Performance

It became apparent that these and other critical issues were inseparably connected within the rapidly expanding network environment, requiring a holistic solution of engineered components with granular detail designed in such a way that the whole system would provide significantly more function and value than the sum of the parts. To achieve the desired outcomes, the system would need to consist of a thin layer of governance with deep intelligence, be substantially automated, continuously adaptive, tailored to each entity and highly scalable......→

Plausible Scenarios For AI in Preventing Catastrophes

Given consistent empirical evidence demonstrating that the raising of red flags has resulted in a lower probability of essential actors heeding warnings than causing of unintended consequences, those endowed with a public platform carry a special responsibility, as do system architects.....→

Fear of Artificial Intelligence vs. the Ethics and Art of Creative Destruction

While it may be an interesting question whether the seasons are changing in artificial intelligence (AI), or to what extent the entertainment industry is herding pop culture, it may not have much to do with future reality. Given recent attention AI has received and the unique potential for misunderstanding, I thought a brief story from the trenches in the Land of Enchantment might shed some light. Feature at Wired...->


Neural Networks

Converting the enterprise to an adaptive neural network

What’s wrong with the neural network? Lack of data structure that enables governance 

Regulatory failure on the Web: Consequences and solutions

Workplace analytics in the neural network economy

Newsletter Archive

Artificial Intelligence

A million in prevention can be worth billions of cure with distributed AI systems (Cognitive World)

Recent trends in artificial intelligence algorithms

Applied AI: Mythological to neuroanatomical

Plausible Scenarios For AI in Preventing Catastrophes

Fear of AI vs. the Ethics and Art of Creative Destruction (Wired)

Book Review: “Artificial Cognitive Architectures

Data Management

Unleash the innovation within

Diabetes and the American healthcare system

Five essential steps for strategic (adaptive) enterprise computing

Overcoming the enterprise differentiality paradox

 Use Case Scenarios


5.9.10       Diabetes and the American Healthcare System

 Healthcare, standards, behavior, and mobility


1.15.10      Maya in the Global Parcel Delivery Business

  Global logistics, human systems and innovation


10.18.09    Roger the Electrician at the Hydro Dam

  Anti-terrorism, security, energy, and government