The World's Most Advanced Distributed Artificial Intelligence Operating System
Metamorphic Transformation with Enterprisewide Artificial Intelligence
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
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).
The KYield operating system is based on the theorem ‘yield management of knowledge’ developed by KYield’s founder 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 vast speed and scale that delivers enhanced governance, security, prevention, productivity, innovation, discovery, and continuous learning for each individual, team, and organization. Data ownership and control remains with customers unless required by regulations or per agreement.
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....→
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....→
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....→
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 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.....→
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.....→
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....→
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....→
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......→
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.......→
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........→
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........→
Inspired by Nature. Managed by Humans. Assisted by AI.
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