E-book on AI systems by Kyield


My ebook “Ascension to a Higher Level of Performance” is now available to the public.

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).

 

ebook-kyield-ascension-to-higher-level

TABLE OF CONTENTS

INTRODUCTION ……………………………………………………………………………………..

REVOLUTION IN IT-ENABLED COMPETITIVENESS …………………………………………..

POWER OF TRANSDISCIPLINARY CONVERGENCE …………………………………………..

MANAGEMENT CONSULTING ……………………………………………………………………

COMPUTER SCIENCE AND PHYSICS…………………………………………………………….

ECONOMICS AND PSYCHOLOGY ………………………………………………………………..

LIFE SCIENCES AND HEALTHCARE……………………………………………………………

PRODUCTS AND INDUSTRY PLATFORMS…………………………………………………….

KYIELD OS …………………………………………………………………………………………..

THE KYIELD PERSONALIZED HEALTHCARE PLATFORM ………………………………….

ACCELERATED R&D: THE LIVING ONTOLOGY ………………………………………………

SPECIFIC LIFE SCIENCE AND HEALTHCARE USE CASES …………………………………

BANKING AND FINANCIAL SERVICES ………………………………………………………..

THE PILOT PROCESS ……………………………………………………………………………..

EXAMPLE: BANKING, PHASE 1…………………………………………………………………

PHASE 2…………………………………………………………………………………………….

PHASE 3…………………………………………………………………………………………….

PHASE 4…………………………………………………………………………………………….

CONCLUSION: IN THIS CASE THE END JUSTIFIES THE MEANS …………………………21

 

Visit our learning center to download this ebook and view other publications from Kyield at the confluence of AI systems, crisis prevention, risk management, security, productivity and organizational management.

New E-Book: Ascension to a Higher Level of Performance


Power of Transdisciplinary Convergence (Copyright 2015 Kyield All RIghts Reserved)

Power of Transdisciplinary Convergence

Ascension to a Higher Level of Performance 

The Kyield OS: A Unified AI System

By Mark Montgomery
Founder & CEO
Kyield

I just completed an extensive e-book for customers and prospective customers, which should be of interest to all senior management teams in all sectors as the content impacts every aspect of individual and corporate performance.

Our goals in this e-book are fivefold:

  1. Provide a condensed story on Kyield and the voyage required to reach this stage.
  2. Demonstrate how the Kyield OS assimilates disparate disciplines in a unified manner to rapidly improve organizations and then achieve continuous improvement.
  3. Discuss how advances in software, hardware and algorithmics are incorporated in our patented AI system design to accelerate strategic performance and remain competitive.
  4. Detail how a carefully choreographed multi-phase pilot of the Kyield OS can provide the opportunity for an enduring competitive advantage by establishing a continuously adaptive learning organization (CALO).
  5. Educate existing and prospective customers on the Kyield OS as much as possible without disclosing unrecoverable intellectual capital, future patents and trade secrets.
TABLE OF CONTENTS
INTRODUCTION  1
REVOLUTION IN IT-ENABLED COMPETITIVENESS  2
POWER OF TRANSDISCIPLINARY CONVERGENCE  3
MANAGEMENT CONSULTING  4
COMPUTER SCIENCE AND PHYSICS  5
ECONOMICS AND PSYCHOLOGY  9
LIFE SCIENCE AND HEALTHCARE 10
PRODUCTS AND INDUSTRY PLATFORMS 11
THE KYIELD OS 11
THE KYIELD PERSONALIZED HEALTHCARE PLATFORM 12
ACCELERATED R&D 13
SPECIFIC LIFE SCIENCE AND HEALTHCARE USE CASES 13
BANKING AND FINANCIAL SERVICES 14
THE PILOT PROCESS 15
EXAMPLE: BANKING, PHASE 1 17
PHASE 2 18
PHASE 3 18
PHASE 4 18
CONCLUSION: IN THIS CASE THE END JUSTIFIES THE MEANS  21

To request a copy of this e-book please email me at markm@kyield.com from your corporate email account with job title and affiliation.

Transforming Healthcare With Data Physics


I just completed an in-depth paper on how our work and system can help life science and healthcare companies overcome the great challenges they face, so I wanted to share some thoughts while still fresh. The paper is part of our long-term commitment to healthcare and life sciences, requiring a deep dive over the past several weeks to update myself on the latest research in behavioral psychology, machine learning, deep learning, genetics, chemicals, diagnostics, economics, and particle physics, among others. The review included several hundred papers as well as a few dozen reports.

Kyield Distributed OS - Life Science and Healthcare

The good news is that the science is improving rapidly. An important catalyst to accelerated learning over the past 20 years has been embracing the multi-disciplinary approach, which academia resisted for many years despite the obvious benefits, but is now finally mainstream with positive impact everywhere one looks.

The bad news is that the economics of U.S. healthcare has not noticeably improved. For a considerable portion of the population it has deteriorated. The economic trajectory for the country is frankly grim unless we transform the entire healthcare ecosystem.

A common obstacle to vast improvement in healthcare outcomes that transcends all disciplines with enormous economic consequences is data management and analytics, or perhaps more accurately; the lack thereof. There is no doubt that unified networks must play a lead role in the transformation of healthcare. A few clips from the paper:

“By structural we mean the physics of data, including latency, entropy, compression, and security methodology. The Kyield system is intended to define structural integrity in NNs, continually exploring and working to improve upon state-of-the-art techniques.”

“While significant progress has been made with independent standards towards a more sustainable network economy, functionality varies considerably by technology, industry, and geography, with variety of data types and models remaining among the greatest obstacles to discovery, cost efficiency, performance, security, and personalization.”

Life science and healthcare are particularly impacted by heterogeneous data, which is one reason why networked healthcare is primitive, expensive, slow, and alarmingly prone to error.

“Biodiversity presents a unique challenge for data analytics due to its ambiguity, diversity, and specialized language, which then must be integrated with healthcare and data standards as well as a variety of proprietary vendor technology in database management systems, logistics, networking, productivity, and analytics programs.”

“Due to the complexity across LS and healthcare in data types, standards, scale, and regulatory requirements, a functional unified network OS requires specific combinations of the most advanced technology and methods available.”

Among the most difficult challenges facing management in mature life science companies are cultures that have been substantially insulated from economic reality for decades, only recently feeling the brunt of unsustainable economic modeling throughout the ecosystem, typically in the form of restructures, layoffs, and in some cases closure. This uncertainty particularly impacts individuals who are accustomed to career security and relatively high levels of compensation. I observed this often during a decade of consulting. The pain caused by a dysfunctional economic system is similar to the diseases professionals spend their careers fighting; often unjustly targeting individuals in a seemingly random manner, which of course has consequences.

“Among many changes for knowledge workers associated with the digital revolution and macro economics are less security, more free agency, more frequent job changes, much higher levels of global venture funding, less loyalty to corporate brands and mature industry models, and considerably increased motivation and activism towards personal passionate causes.”

Healthcare is a topic where I have personal passion as it cuts to the core of the most important issues to me, including family, friends, colleagues, and economics, which unfortunately in U.S. healthcare represents a highly self-destructive model. My brother was diagnosed with Lou Gehrig’s disease (amyotrophic lateral sclerosis/ALS) in 1997 not long after his only child was born. I’ll never forget that phone call with him or what he and his family endured over the next three years even though his case was a fine example of dedicated people and community. My father passed a decade later after a brutal battle with type 2 diabetes; we had an old friend pass from MS recently, and multiple cancers as well as epilepsy are ongoing within our small group of family and friends. So it would be foolhardy to deny the personal impact and interest. Healthcare affects us all whether we realize it or not, and increasingly, future generations are paying for the current generation’s unwillingness to achieve a sustainable trajectory. Unacceptable doesn’t quite capture the severity of this systemic failure we all own a part of.

The challenge as I see it is to channel our energy in a positive manner to transform the healthcare system with a laser focus on improved health and economic outcomes. This of course requires a focus on prevention, reduced complexity throughout the ecosystem, accelerated science, much improved technology, and last but not least; rational economic modeling to included increased competition. The latter will obviously require entirely new distribution systems and business models more aligned with current science and economic environment. Any significant progress must include highly evolved legislation reflecting far more empowerment of patients and dramatic improvement in fiscal discipline for the ultimate payer we call America while there is still time to manage the disease. If we continue to treat only the symptoms of healthcare in America it may well destroy the quality of life for the patient, if indeed the patient as we know it survives at all. This essentially represents my diagnosis.

A few of the 80 references I cited in the paper linked below are good sources to learn more:

Beyond borders: unlocking value. Biotechnology Industry Report 2014, EY
http://www.ey.com/GL/en/Industries/Life-Sciences/EY-beyond-borders-unlocking-value

Dixon-Fyle, S., Ghandi, S., Pellathy, T., Spatharou, A., Changing patient behavior: the new frontier in healthcare value (2012). Health International, McKinsey & Company.
http://healthcare.mckinsey.com/sites/default/files/791750_Changing_Patient_Behavior_the_Next_Frontier_in_Healthcare_Value.pdf

Thessen A., Cui H., Mozzherin D. Applications of Natural Language Processing in Biodiversity Science Adv Bioinformatics.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3364545/

Top 10 Clinical Trial Failures of 2013. Genetic Engineering & Biotechnology News.
http://www.genengnews.com/insight-and-intelligence/top-10-clinical-trial-failures-of-2013/77900029/

Begley, C.G., Ellis, L.M. (2012) Drug development: raise standards for preclinical cancer research. Nature 483 http://www.nature.com/nature/journal/v483/n7391/pdf/483531a.pdf

Cambria, E., and White, B. Jumping NLP curves: A review of natural language processing research. IEEE Computational Intelligence Magazine, 9:1–28, 2014.
http://www.krchowdhary.com/ai/lects/nlp-research-com-intlg-ieee.pdf

Montgomery, M. Diabetes and the American Healthcare System. Kyield, Published online May 2010
http://www.kyield.com/images/Kyield_Diabetes_Use_Case_Scenario.pdf

All quotes above are mine from Kyield’s paper of 8-15-2014:

Unified Network Operating System
With Adaptive Data Management Tailored to Each Entity
Biotech, Pharmaceuticals, Healthcare, and Life Sciences

New Report: Adaptive Unification for Life Science Ecosystems


First, I want to apologize for not being able to keep up with my blog as much as I would like, or to share as much in public as I would prefer. The reasons are twofold. We’ve been very busy at Kyield, and testing has increasingly confirmed that while competitors in our industry invest heavily in web information (CI), most customers do not; at least for enterprise-wide systems like Kyield.  So I have regrettably pulled back on detailed public writing, or rather– have replaced with more formal papers and presentations with customers.

A good example of our efforts is the new report below, which is a hybrid of an academic paper with citations supporting our claims and a detailed brochure for senior managers in pharmaceuticals, biotech, and healthcare–particularly those pursuing personalized medicine and significant improvement in operational efficiency:

Adaptive Unification  for  Life Science  Ecosystems 

Kyield report: Adaptive Unification for Life Science Ecosystems

The paper highlights the challenges facing the industry with considerable detail on how Kyield is unique in the world with respect to ability to overcome these challenges. Essentially, in order to overcome systemic challenges it requires a systemic solution, and in terms of distributed organizations it requires a very particular type of systemic solution that can address each of the challenges. Due to the high values involved, the result is that Kyield may well be the best investment option in the world today for life science executives.

For those who would prefer more frequent updates, the best methods to track either Kyield or my activity are as follows:

Connect with me on LinkedIn:      http://www.linkedin.com/in/markamontgomery/

Follow Kyield on LinkedIn:              

Follow @kyield on Twitter:             https://twitter.com/kyield

And of course visit our web site regularly at www.kyield.com

Kind regards,

Mark Montgomery

Best of Kyield Blog Index


I created an index page containing links to the best articles in our blog with personal ratings:

Best of Kyield Blog Index.

Key patent issued


My key patent for Kyield was issued today by the USPTO as scheduled earlier this month.

Title: Modular system for optimizing knowledge yield in the digital workplace

Abstract: A networked computer system, architecture, and method are provided for optimizing human and intellectual capital in the digital workplace environment.

To view our press release go here

To view the actual patent  go here

I will post an article when time allows on the importance of this technology and IP, and perhaps one on the experience with the patent system. Thanks, MM

Regulatory Failure on the Web; Consequences and Solutions


I have argued consistently since the mid 1990s that the global medium (combined Internet and Web) increasingly reflects the global economy and that rational, functional regulation is essential. I started this journey then with a very similar ideology to Alan Greenspan’s before the financial crisis; that self-regulation should be sufficient to prevent systemic crises, but unfortunately in practice it has failed to do so.

Most of the actual regulation in computer networking today is accomplished via manipulation of architecture in one form or another, but technical standards on the web are voluntary, as the Tech Review article The Web is Reborn highlights, which was apparently in response to the article The Web is Dead at Wired earlier in the year. In the U.S. we are really reliant primarily on one form of regulation on the web, other than proprietary architecture and voluntary standards, which is social. Social regulation has evolved with the consumer web, occasionally demonstrating some power—as was recently demonstrated with Facebook security issues, but social regulation has also proven to be self-destructive at times, particularly regarding sustainable economics and jobs. Few if any consumers can see how their actions on the web are impacting their own regional economy or industry, meaning that the blind is often leading the blind towards dangerous hazards in a similar fashion to the housing crisis. Ignorance is being exploited.

Two eras, opposing needs, yet same reaction

In order to provide some context with continuity let’s begin with the PC revolution about 30 years ago when the lack of interoperability allowed Microsoft to extend its growth from the operating system into productivity, communications, and eventually networking, forming one of the strongest strategic partnerships and business ecosystems in history.

During the PC era regulation was essentially outsourced to industry which employed a combination of proprietary computer code, strategic alliances and the failure of others to work together in a competitive manner to establish the standard, which of course led to a monopoly. The political, social and cultural dynamics at play were very interesting at the time, dominated by the view still common today that the only other option was government which couldn’t be relied upon to regulate technology.  It turns out that many other forms of regulation exist that can be learned from in natural sciences, physical sciences, social sciences, and architecture, among others.

Among the most important business lessons in the PC era was that Microsoft bet against the abilities of others to work together which when combined with strong execution was rewarded at historic levels. At the time I clearly recall arguments from investors, customers, government officials and even competitors agreeing with Microsoft that the PC revolution was too young for external regulation (which I heard again this week regarding the web), so “let the best man win”.  I myself said much the same then—not having the benefit of observing this case (and many others) in what is a very complex, quickly evolving environment.

In hindsight I believe we were correct regarding regulation in the PC era, but only for a very brief time—less than a decade; that’s how fast the big innovation door opened, scaled, and began to close. Our society cannot respond that quickly. This was new territory, just as the web would be a decade later.

In a very similar manner to the PC era the lack of regulation on the early web fostered a highly innovative environment during the very early days, but the era peaked much quicker on the web due to the toxic flood of capital during the inflation of the dot-com bubble; and the web was very quickly taken over by entrenched interests.  Opportunity still exists of course, but the dirty secret few discuss is that the failure rate for new IT ventures is very likely at an all time high—no credible statistics exist on the entire ecosystem to my knowledge; only portions thereof.  Of course knowledge, experience, relationships, resources and luck play a big role on outcomes, as usual, but lack of effective regulation generally favors and rewards predatory behavior.

The PC was sustaining innovation; the web is disruptive innovation

It’s important to understand that in the pre-network era economic alignment in desktop computing was primarily positive for everyone except direct competitors to Microsoft (or Intel in semiconductors), which was managed masterfully by a brilliant entrepreneur who became the world’s wealthiest human, and supported by many other brilliant people.  The world needed a standard for interoperability, and since few were negatively impacted the increases in productivity from authoritarian rule were viewed largely as positive within the social regulation realm, even if only for a brief time.  In hindsight government regulation failed not only to prevent the monopoly but also in resolving it. Government was then and still is today complicit in the creation and protection of  monopolies, regardless of how they form, particularly in the U.S. and EU within the IT cluster, which is I think driving future industry leaders to other countries.

Once monopoly power sets in it can be very destructive, including to the long-term company culture within the monopoly itself, which provides a strong case to manage market share very carefully.  The largest impact, however, is invisible, which usually manifests as aborted innovation within the specific market and industry, lack of adoption of competing technologies, and failed investment, which is evident today in most consolidated industries as reflected by very poor economic performance.

Failed regulation often leads to market failure, which is a real possibility for the web unless a sustainable economic structure is formed. This is essentially the argument behind the claim the “Web is dead”—with Chris Anderson suggesting that the Internet was moving over to wireless devices where a more viable economic structure is forming; customers are far more likely to pay for services rendered in the iPhone structure than the web structure.

As I have often argued since the commercialization of the web, the advertising industry is not nearly large enough to compensate for the economic displacement of industries from the disruption, particularly in the service dominated economies in the West.  Silicon Valley, Madison Ave, Wall St. and D.C. cultures still don’t seem to fully understand this reality and equation, or presumably policy would reflect it.  China and Germany on the other hand seem to understand the issue with abundant clarity, and are exploiting the situation brilliantly, as is India and others.  A nation does not want to be dependent upon a service economy within a global economy that is increasingly delivering services over an ad supported medium; particularly a nation deep in debt that is challenged educationally.

The often misunderstood lesson here is that the PC ecosystem was not a disruptive innovation but rather a sustaining innovation—meaning that it threatened very few. In direct contrast the web is very disruptive—not only to specific companies, but to entire industry clusters, regional, and national economies, which affects everyone on the planet.

Despite this extremely important difference, regulatory schemes reacting to the two very different situations are essentially the same, and will very likely result in a similar outcome unless regulation improves quickly, particularly relating to technical standardization.  As market share becomes more dominant in corporate cultures, so does hubris—the cultures become increasingly less influenced by voluntary standard processes or social regulation.  Eventually, as we’ve seen in our recent past, the monopoly cultures can even directly challenge the authority of sovereign governments with the potential exist for global companies to actually dominate national policy.  Currently Ireland provides a fine case study of why such a situation should be avoided.

I maintain that the winner-takes-all approach of the PC era would be catastrophic for the web and the global economy, perhaps even leading indirectly to civil disruption and conflict. Many wars have been fought over far less economic disruption so in a very real sense this issue is one of national and global security.

So is the web dead or reborn?

The web is primarily lost in a sea of confusion from lack of structure, which is largely due to the lack of effective regulation, which is in turn due to spin from those who benefit from the lack of regulation, and perhaps the impact of that spin on the ideology within our culture.  As in all previous standards wars free from effective regulation, a continuous battle rages, albeit somewhat more rational given the global nature of the beast than in previous sector or geographic standards wars.

In an invited letter to the editor in an upcoming issue of a leading publication, I will argue for functional regulation of the web relating to the creation and enforcement of technical standards, which are necessary to achieve security, privacy, and a host of other essential issues, including some degree of certainty for investors and entrepreneurs like myself.  It is far more important that credible independent standards exist than what the specific standards are, which is lost on the academic CS community almost entirely.  The current scheme is without power, glacial, and entirely without dependability, the latter of which is synonymous with credibility outside of academia.

I will save my detailed suggestions on how such a regulatory body might be structured for my book, but there is an emerging regulatory scheme on the web worth noting within the largest industry.  The U.S. health care legislation, as messy as it was, did empower the HHS to determine technical standards for electronic health records, which was tied to funding and reimbursement.  While substantially less than perfect, this standards process does appear to have the ability to gain traction due to a combination of initial funding, need for interoperable data, and leverage from other governments around the world to achieve a functional global standard.

Just one example of how this may occur is the relationship between life sciences, government regulation over drugs and devices, and the delivery of health care, all of which will require interoperability in order to function with any degree of efficiency.  In the current environment the health care technical standards process appears to be the most functional regulatory path towards adoption of a more intelligent web, aka the semantic web.

While we are all aware of the messiness of democracy, this alternate path towards regulation of standards on the web should not be viewed as a substitute for a rational, long-term solution.  Welcoming luck once it occurs is one thing; depending on it for survival quite another.  Our economy is too fragile and complex to depend on luck alone.  Conflicted interests simply cannot be trusted, whether corporate, academic, or otherwise.