Build a Continuously Adaptive Learning Organization (CALO) Among the most perplexing challenges facing CEOs in recent years is how best to compete in a data-driven economy that is becoming increasingly dominated by large and rapidly growing companies, often described as “superstar” firms.[1] Although the most valuable superstar firms are in the technology industry, the group includes… Read More
This is my talk at the ExperienceITNM technology conference on September 13th, 2019. The title of the presentation is ‘Metamorphic Transformation with Enterprise-wide Artificial Intelligence’. I also unveiled my new patent-pending system titled ‘Synthetic Genius Machine and Knowledge Creation System”, which is I think the most direct path to AGI, or super intelligence, in the near term for pragmatic applications.
Thanks to the New Mexico Technology Council, staff at Sandia Resort & Casino, and Robin Rupe at Volti Subito Productions (ABQ) for the video production.
KYield’s founder & CEO Mark Montgomery will be presenting at the Experience IT New Mexico Conference on September 13th, 2019, at 10:15 a.m. This is the tech event of the year for New Mexico. We hope to see you there!
Metamorphic Transformation with Enterprise-wide Artificial Intelligence Systems
Mark Montgomery will present a summary of findings spanning over two decades of research and development in enterprise-wide AI systems. His presentation will discuss critical functions that require organization and network-wide AI systems, including prevention of crises, autonomous cybersecurity, and enhanced productivity. Mark will also cover KYield’s Genesis project, which is designed to rapidly transform the organization upon adoption of the KYield OS, and how to achieve a continuously adaptive learning organization (CALO) with advanced AI systems.
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. Read More
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. Read More
Learn about the background of Kyield and the multi-disciplinary science involved with AI systems, with a particular focus on AI augmentation for knowledge work and how to achieve a continuously adaptive learning organization (CALO). Read More
