K·Yield v. - Yield Management of Knowledge

Distributed AI system with governance, prevention, security, and productivity tailored to each entity.


Metamorphic Transformation with Enterprisewide Artificial Intelligence 

KYield Genesis 

A presentation by KYield's founder & CEO Mark Montgomery at the ExperienceITNM technology conference on September 13th, 2019. The title of the talk is 'Metamorphic Transformation with Enterprise-wide Artificial Intelligence'. Mark also unveiled his new patent-pending invention titled 'Synthetic Genius Machine and Knowledge Creation System'. The length of the video is 47 minutes including Q&A.


Synthetic Genius Machine and Knowledge Creation System

Accelerating superintelligence

This video starts with the unveiling of KYield's new patent-pending invention titled 'Synthetic Genius Machine and Knowledge Creation System'. The length of the discussion on the genius machine is 3-4 minutes (press release).


KYield offers two distinct AI systems


1) The KYield OS is based on the mathematical theorem ‘yield management of knowledge’ conceived by Mark Montgomery in 1997. The KYield OS provides optimal network management at the confluence of human and machine intelligence. The patented AI system core is fully adaptive and tailored to the unique profiles of each entity with a simple natural language interface. Among many benefits of the KYield OS include data optimization at a scale far beyond the ability of humans alone, system-wide governance, proprietary security, crisis prevention, improved productivity, and continuous learning. Data ownership and control remain with customers unless required by law or per mutual agreement.

2) The Synthetic Genius Machine (SGM) is a new patent-pending invention that combines gathered intelligence from the works of human geniuses and simulations to solve real-world challenges, from accelerating innovation and research to reducing risk, finding new opportunities, or making wise decisions. The SGM includes advanced symbolic representation, encryption, and other proprietary technology that is preoptimized for AI systems and quantum computing. When completed, the SGM will provide super intelligence as a service TM.

The KYield OS and SGM can be licensed and installed individually or together. Please download and review our 2020 brochure for details. 


A very interesting discussion on the Risk Roundup Podcast/ Vodcast with Jayshree Pandya Ph.D., CEO of Risk Group, LLC. Featuring Mark Montgomery, the Founder, Chief Executive Officer, and Chairman of the Board of KYield, Inc. Should AI be considered as a human virtual brain or another species with legal rights like humans? Will super intelligence save our species? Why didn't we have an early warning system in place for pandemics long ago?


IEEE Rising Stars 2020

KYield's founder & CEO Mark Montgomery was a speaker at the IEEE Rising Stars 2020 conference in Las Vegas on January 4th. The title of the talk was 'Artificial Intelligence 2020: Where have we been, where are we at now, and where are we headed'. This was a first-person presentation on KYield's voyage in AI systems from inception of the idea through maturing of the mathematical theorem, overcoming obstacles, and commercialization process. Mark also included slides on KYield's synthetic genius machine, recent industry trends, and his top ten predictions for AI by 2025.


An Op-Ed in the Albuquerque Journal: Tech can lead the way in NM    

Economists and business leaders have warned for decades of an impending economic crisis in New Mexico. Revenue from oil and gas the state is dependent upon is in the process of disruption with a finite expiration date, and government labs are at risk from unsustainable federal deficits and fickle politics. Despite these well-understood facts, the state has increased dependencies rather than proactively diversify its economy.....→


Preparing for the Post-Pandemic Economy    

The good news is that COVID-19 is quite mild compared to an inevitable strain that will be 5, 10, or perhaps even 100 times more deadly. We have the ability to prevent, prepare, and even thrive, but will we? With over half of the world’s population living in cities, it seems unlikely a global pandemic will result in mass reverse migration back to rural areas. However, the underlying assumptions for forecasting a continuation of migration trends over the past two centuries should be challenged, particularly given recent micro trends prior to the pandemic. ....→


Will AI Spawn a Smart Superintelligent ‘Synthetic Genius Machine’?    

We have surpassed the realm of sci-fi for superhuman capabilities in computing and automation. With the advent of new advanced technologies and Machine Learning capabilities, humans are finding new avenues to scale cognitive neuroscience and augmented learning to build Synthetic Genius Machine. In the latest piece of news, AI pioneer and KYield’s founder announced the arrival of a new artificial intelligence system to accelerate superintelligence. Read the story at Marketing Technology Insights....→


Successful strategies in artificial intelligence have emerged. Will your company survive the climb?    

The situation and capabilities of companies we’ve dealt with vary across a wide spectrum, ranging from a very few at the top tier in strategic competency, to a few more in a fatal tailspin. The vast majority of companies are somewhere in-between, representing the bulk of companies that need help that are also in a position to receive it. The following represent AI strategies that have emerged over the past decade. Some have proven to be much more successful than others.....→


Artificial Intelligence in 2020    

Where have we been, where are we now, and where are we headed?

I’ve written this in first person format so the reader can see it through my eyes from the trenches, including observations, conclusions and questions. In looking back over time, it helps me to revisit milestone articles I’ve written and read. Although my first published paper on our AI R&D was in 2002, I’ll start by looking back at a futuristic scenario on the American healthcare system published in 2010. A decade is a nice round number and was also the same year my old friend and former business partner Russell Borland passed away unexpectedly. Russell was a close friend from the early 1980s on. He was involved with our journey at KYield since inception in the mid 1990s, so losing him was a shock.....→


Video interview with KYield's founder Mark Montgomery by Tyler Stannard at the Data Centered Leadership Podcast    

Mark Montgomery is an experienced polymath who has made significant gains in business and artificial intelligence. Mark discusses his views on the development of AI technology over the last 3 decades. He also shares the exciting innovations presented by his Kyield OS, which integrates many sources of data in the business environment and uses AI to augment decision makers. This system could be most valuable for filtering out the noise to find anomalies that can lead to advancements in research or prevention of disaster. Listen to the interview on YouTube, Apple Podcasts, Google Play, or watch the video interview at Data Centered Leadership....→


Interview with KYield’s Mark Montgomery on advanced distributed AI operating system    

Mark Montgomery is the founder, CEO, and Chairman of the Board of KYield, a pioneer in AI systems with a special focus at the confluence of human and machine intelligence. I had a chance o talk to Mark who is the originator of the theorem ‘yield management of knowledge’, and inventor of the now patented AI system that serves as the foundation for the KYield OS. Mark began training in software development in 1996 and network engineering in 1997, becoming proficient in object-oriented programming and several languages then progressed to more advanced analytics, search, and artificial intelligence. Mark was a frequent visitor and invited guest at the Santa Fe Institute from 2009-2016. Read the interview at Robotics Biz....→


Top 10 trends in AI systems by 2020    

The greatest risk from AI facing companies and nations is slow adoption of advanced AI systems and/or poor execution. The fast follow approach that became such a common strategy over the past two decades with incumbents is failing fast in AI systems. An incremental approach is more than just high risk behavior during revolutionary change–it’s certainty of failure. Indeed, the “let’s wait and see” strategy in the case of AI systems should be viewed as suicidal, whether driven by a corporate Luddite culture, incompetence, or complacency.....→

Late Major Floyd L. Montgomery (retired)

How America Can Win the War in Artificial Intelligence    

The DOD JEDI program provides a clear example of how not to do it

The list of priority career objectives for pioneers in artificial intelligence (AI) rarely include trillion dollar weapons programs, institutional turf battles, stifling bureaucracy, or systemic corruption — even for those who desperately want America and democracy to prevail. Highly intelligent scientists, engineers, entrepreneurs, and architects are typically motivated by solving the myriad of other challenges facing the planet, not least in saving the planet itself and each species within it, including our own.....→


The rapidly rising competitive bar driven by AI systems (Enterprise Viewpoint)    

When we first approached senior executives about the benefits of our work in AI systems more than a decade ago, we were limited by physical constraints to the small group of organizations who happen to own supercomputers that could perform extreme computing tasks. Obstacles in physics and economics at the time still prevented us from achieving our original goal of distributed AI systems across networks and organizations.....→


The greatest risk from artificial intelligence (Op-ed at The Santa Fe New Mexican)    

Among the most important lessons in human history is that those who adopt innovation in the most advantageous manner often triumph over competitors. This has never been truer than in the rapidly evolving artificial intelligence revolution underway, where we face great risk from a tripartite of totalitarian nations, corporate oligopolies and complacent democracies....→


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....→


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......→


A million In prevention can be worth billions of cure with distributed AI systems    

(HumCat product was a 2017 honoree of Innovation New Mexico by the Albuquerque Business Journal)


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.......→


Recent trends in artificial intelligence algorithms (Originally in Computerworld)    


Those of us who have been through a few tech cycles have learned to be cautious, so for the second article in this series I thought it might be helpful to examine the state of AI algorithms to answer the question: what’s different this time? I reached out to leading AI labs for their perspective, including Jürgen Schmidhuber at the Swiss AI Lab IDSIA. Jürgen’s former students include team members at Deep Mind who co-authored a paper recently published by Nature on deep reinforcement learning........→


Fear of AI vs. the ethics and art of creative destruction (Wired)    


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........→


Diabetes and the American Healthcare System (Extensive hypothetical scenario)    


George Strasburg is a 64 year old retired scientist living with his wife Cynthia in the southern United States. The couple recently celebrated their 40th anniversary at home, which was attended by several dozen friends and family members from all over the world. Five years ago George was diagnosed with diabetes mellitus (type 2), with a fasting blood glucose level at 153 mg/dL. The diagnosis was not a surprise; members on both sides of his family had died from complications from diabetes, including his father.........→