The Rapid Response Institute

Tag: CRC Press

  • AI–What’s Your Number?

    AI–What’s Your Number?

    There is a great deal of hype regarding AI, some is justified and some not so much.  Pundits, including this one talk about the value an organization will get and, in some cases, immediately.  But what is the actual measurable value a firm can realistically expect?

    I recently used a free AI Value Calculator, asking how an oil refinery could become more effective and safer. The following response was received:

    “**Value Proposition:** At [Your Company Name], we understand that oil companies face increasing pressure to enhance safety and efficiency within refinery operations. Our innovative solutions are designed specifically to address the unique challenges of the refining industry. By integrating advanced technology and safety protocols, we empower your team to operate more effectively while minimizing risks. With our expertise, you can expect: – **Increased Operational Efficiency:** Streamline processes with cutting-edge tools that boost productivity and reduce downtime. – **Enhanced Safety Measures:** Implement systems that prioritize employee safety and ensure compliance with industry regulations. – **Real-Time Monitoring:** Gain insights through data analytics that allow for proactive decision-making and immediate response to potential hazards. Choose [Your Company Name] as your partner in revolutionizing refinery operations, ensuring you meet both efficiency goals and safety standards. Together, we can create not just a safer workplace, but also a more effective refinery that drives success in today’s competitive landscape. For more information or to schedule a consultation, please contact us at [phone number] or visit our website at [website URL]. Let’s work together to pave the way for a more secure and productive refining environment.”

    The Problem with Value

    There are several problems with this response, and I (the user) am part of that problem.

    • My prompts were minimal and not specific
    • The response was pablum, as it did not tell me anything I did not already know.
    • What do phrases like, “Implement systems that prioritize employee safety and ensure compliance with industry regulations,” actually mean and how do I accomplish that?
    • What do I tell the “C” level executive that she can expect to see on our bottom line as a result of this expenditure and what is the risk profile?

    Determining the economic value proposition for any capital investment project has always been a challenge and is difficult to accomplish, especially when the list of intangibles is long.  The recent issues surrounding Cracker Barrel rebranding is a case in point.

    The process of assessing possible value and the associated risk of attaining said value from investments is not trivial.  It takes a lot of thinking and iterative re-thinking from a knowledgeable and qualified team, as well as input from others.  And in my opinion, there has to be a dollar value that can be documented and defended–meaning, it is a solid assessment and not wishful thinking.

    The Journey to Measurable Value

    “If you don’t know where you are going, you’ll end up someplace else.”― Yogi Berra

    We been conducting economic and financial assessments of capital projects for over two decades. Our Economic Value Proposition Matrix (EVPM) has been developed and curated with organizations in the Critical Infrastructure Sector.  It meets and exceeds the tough requirements of some of the most prestegious global firm and has demonstrated its ability to provide decision makers with an economic and financial “What If” and “Iterative” model of proposed spend before a dime is committed to the project.  We love tough questions and have learned most that are used.  Moreover, it Risk Assessment section if one of the most robust available.

    It is being used for AI Spend assessments and a case study will be available in our forthcoming book, from CRC Press, The Transformation of Our Spreadsheet Society: Moving Towards a Nonlinear, Big Data Enabled AI Environment, to be released by early 2026.

    Is AI Different Than Other Capital Expenditures (CAPEX)?

    The traditional response from IT providers is, It Depends!  In some ways this is a correct statement. However, industry/individual organizations have been through existential difficulties before and frequently.

    Most IT CAPEX is either Science/Engineering or transactional, i.e., ERP.  However, much of AI centers on behavior and therefore, involve an addition dimension–latent variables.  We have been interested in latent variables since the early 1990s and first published our approach towards learning about their impact on behavioral systems in my 1996 doctoral dissertation, Cross-cultural negotiations between Japanese and American businessmen: A systems analysis (exploratory study).

    In our forthcoming book by CRC Press, The Transformation of Our Spreadsheet Society: Moving Towards a Nonlinear, Big Data Enabled AI Environment, we develop a detail approach and representative AI model about the value that can be identified and measured using latent variable.

    So, what is a latent variable?  Largely unknown, these variables are essential in the complex data analysis and modeling needed in statistics, machine learning, and other scientific assessments.

    Very important–They cannot be measured directly but can be inferred from other measurable variables.

    This is a major and usually unrecognized problem when attempting to place an economic value on a project yet to start, i.e., the planning and funding stage.

    Our upgraded EVPM model takes latent variables into consideration giving management greater insight into the costs, return and ultimate value of AI investments.  We believe that unless this dimension is properly assessed, calculated values are WRONG and will not result in the value proponent’s advance.

    Look for further details regarding our economic value of AI model and feel free to contact us if you have specific needs or questions.

    Is your AI Economic Value Assessment model robust enough to bet your career on?

  • Tariffs Tariffs, Tariffs

    Tariffs Tariffs, Tariffs

    According to the economist, Paul Craig Roberts, “Tariffs protect ill-considered government policies, such as costly regulations and high taxes on labor and capital that make our goods uncompetitive in international markets.”

    Young and emerging countries may want tariffs to protect nascent industries and other local protections to help assure employment and rise of a strong commercial base.  Advanced (OECD) countries seek to protect existing sectors for a number of reasons including employment and political/military power.

    Once in place both exporting and importing countries develop a sense of normalcy and change becomes difficult for all parties involved.  They become part of the business culture of the exporter and importer.  As with other cultural change, engrained habits are stubborn.

    Policy Disruption

    The Trump Administration is arguing that an unlevel trading system has existed, at least since the end of World War II in 1945.  Their tariff policy seeks to update the partner relationship with countries and their companies that are no longer rebuilding form that devastating conflict.  The protections afforded nascent rebuilt from that era are no longer necessary or relevant.

    As might be expected, many prefer the status quo and vehemently argue the unfairness of it all and other rationales for not changing practices and policies that are 80 years old.  This is no difference than those that have been made redundant due to a reorganization make the case for their value add, usually in vain.

    Comparative Advantage

    Over two decades ago this author postulated, “Economists usually think of comparative advantage as a function of the raw material or strategic position a country holds.  In the knowledge age, comparative advantage goes to those who hold the knowledge necessary to achieve strategic posture.”  Moreover, “Thought leadership and subsequent comparative/competitive advantage usually goes to those that see things differently, earlier, or both.  Seeing is one thing, believing another, and implementation still another.  Leaders do not just postulate, they make things happen.  This is the tough part.  Many people have good ideas, but most do not implement and even fewer follow through to the end.”

    In May 2025, President Trump signed over $2 Trillion in business deals with Saudi Arabia, Qatar and the United Arab Emirate.  These were not traditional oil and gas investments that this part of the world is known for, but commitments in defense, aerospace, AI and other advanced technologies.

    In addition to aircraft and other defense products and solutions, these countries focused on the development of emerging capabilities such as AI.  A classic example of the position taken almost a quarter of a century ago.

    Are Humans Being Replaced?

    This has been the question raised by every dramatic technological introduction.  The general consensus, in this writer’s opinion is, we adapt and adopt to the new when it is beneficial and reject it when it does not add value to our personal life–the ‘What’s in it for ME question.

    This is the contemporary question all of us are reacting to with the advent of Artificial Intelligence.  Accordingly, “The rise of artificial intelligence has reinforced the belief that transformations across various domains can be primarily achieved through digital technology.  However, the creative potential for change of people’s  cognitive, emotional and imaginative powers often loses importance and gives way to  creative technology.   Many therefore see humans as having arrived in the age of post and transhumanism.  But is the human being as such really a kind of obsolete model?  According to such a view, it seems to have become ‘normal’ for people to leave their own fate, as well as the fate of humanity and the environment, to technical transformation possibilities.  This implies accepting that technology increasingly becomes an instrument of control rather than a tool to be used and directed, as individuals become subject to a technology and capitalist artificial intelligence industry that surpasses their own capabilities, leading them to be controlled by it.”

    One can assume that these concerns will cause many to fight for existing international trade rules to remain in place.  This is true, not only for tariffs, readers may remember that in 2024, “The ILA’s ( International Longshoremen’s Association) initial proposal was for a 77% salary increase over the six-year duration of their contract with USMX, as well as a complete ban on the automation of gates, cranes and container-moving trucks at its ports.”

    Short-Term Pain, Long-Term Gain

    Cultural Disruption can be sharp and quick, like a knife cutting into the skin.  It will take some time and perhaps a long time for transformation to take hold, and wounds to heal.

    However, this parade is marching by.  We can all chose to join in, become a bandleader, or hope it will just go away.  Change can be painful, but without it we cease to grow and will eventually whither and our value to organizations will no longer exist.

    Get with the program!  Tariffs were never meant to be generational, but only a short-term economic band aid.

    How are you and your loved ones preparing for ongoing technological convulsions?

     

    Pre order our new book, May 23, 2025

    Navigating the Data Minefields:

    Management’s Guide to Better Decision-Making

    We are living in an era of data and software exponential growth.  A substantive flood hitting us every day.  Geek heaven!  But what if information technology is not your cup of tea and you may even have your kids help with your smart devices?  This may not be a problem at home; however, what if your job depends on Big Data and Artificial Intelligence (AI)?

    Preorder May 23, 2025

    Ordering Information

    We are also pleased to advise our loyal readers that CRC Press has accepted our proposal for this forthcoming book, Nonlinear Big Data and AI-Enabled Problem-Solving: Transforming From A Spreadsheet Society.  Publication 2026.  Stay tuned for more details.

    For More Information

    Please note, RRI does not endorse or advocate the links to any third-party materials herein.  They are provided for education and entertainment only.

    See our Economic Value Proposition Matrix® (EVPM) for additional information and a free version to build your own EVPM.

    The author’s credentials in this field are available on his LinkedIn page.  Moreover, Dr. Shemwell is the coauthor of the 2023 book, “Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and Sustainability.”  His focus is on Operational Technologies.

    We are also pleased to announce our forthcoming book to be released by CRC Press in June 2025, Navigating the Data Minefields: Management’s Guide to Better Decision-Making.  This is a book for the non-IT executive who is faced with making major technology decisions as firms acquire advanced technologies such as Artificial Intelligence (AI).

    “People fail to get along because they fear each other; they fear each other because they don’t know each other; they don’t know each other because they have not communicated with each other.” (Martin Luther King speech at Cornell College, 1962).  For more information on Cross Cultural Engagement, check out our Cross-Cultural Serious Game.  You can contact this author as well.

    For more details regarding climate change models, check out Bjorn Lomborg and his book, False Alarm: How Climate Change Panic Costs Us Trillions, Hurts the Poor, and Fails to Fix the Planet.

    Regarding the economics of Climate Change, check out our blog, Crippling Green.

    For those start-up firms addressing energy (including renewables) challenges, the author can put you in touch with Global Energy Mentors which provide no-cost mentoring services from energy experts.  If interested, check it out and give me a shout.

  • Leadership Selling

    Leadership Selling

    “The price of greatness is responsibility.” – Winston Churchill

    I recently watched a documentary about Three Mile Island.  I did not fact check it or try to assess bias but if much of what went wrong were correctly portrayed, leadership was missing in action.  The father of the US Nuclear Navy, Admiral Hyman G. Rickover and his demand for excellence was referred to on several occasions.  He was rightfully positioned as THE sector leader during that era when nuclear power generation was an emerging technology.

    In the context of leadership, the following is attributed to him, “Responsibility is a unique concept… You may share it with others, but your portion is not diminished. You may delegate it, but it is still with you… If responsibility is rightfully yours, no evasion, or ignorance or passing the blame can shift the burden to someone else. Unless you can point your finger at the man who is responsible when something goes wrong, then you have never had anyone really responsible.”  This is a very telling statement that is applicable to the many human foibles that have resulted in cataphoric failures, even warfare and almost all high visibility major industrial incidents.

     A clear explanation of the difference between Management and Leadership.

    What Does All This Have to Do with Selling?

    Typically, organizations refer to the process of revenue generation as Sales.  However, a more accurate description this process is Selling.  The action verb, selling can result in a sale or series of sales.  Yet, for each competitive engagement most of these costly attempts at revenue generation will result in no sales–zero revenue.   Fail at enough opportunities and the firm’s Cost of Sales can skyrocket.

    Moreover, increasingly B2B solutions are a combination of products (seller product line and possibly third parties) as well as services (can include Cloud subscriptions).  By definition, Complex Sales is getting more complex and interrelated with other new/existing systems.

    Failure is Not an Option!

    “SUBSAFE was born in 1963, just two months after mechanical failures resulted in the loss of USS Thresher (SSN-593).  The program was started with a simple goal in mind: ‘. . . provide the maximum reasonable assurance that the ship will not have flooding but if flooding does occur, assures that the ship will get safely to the surface.’”  The program is deemed as a major life saving success, partially by enabling real responsibility to all including contractors.

    Safety and Environmental Management Systems (SEMS) are a similar construct.  Most organizations in Critical Infrastructure sectors incorporate SEMS into their Operations Management Systems (OMS).  For our purposes here, we will repurpose and slightly change the nine tenants of the US Bureau of Safety and Environmental Enforcement’s BSEE, SEMS.

    We posit that the following Tenants comprising our Selling Management System (SMS):

    1. Commitment to Values and Actions. Leaders demonstrate a commitment to societal and organizational values in their decisions and behaviors.
    2. Issue Identification and Risk Management. Issues potentially impacting the deal and its successful delivery are promptly identified, fully evaluated, and promptly addressed or corrected commensurate with their significance.
    3. Personal Accountability. All individuals take personal responsibility for process and personal behavior, as well as the stewardship of those entrusted to them.
    4. Work Processes. The process of planning and controlling work activities so that the selling action items are in accordance with organizational mission and policies as well as boding well for success.
    5. Continuous Improvement. Opportunities to learn and codify selling and delivery knowledge, ensuing future success and organizational learning.
    6. Environment for Raising Concerns. A work environment is maintained where personnel feel free to raise issues and concerns without fear of retaliation, intimidation, harassment, or discrimination.
    7. Effective External and Internal Communication. Communications maintain a focus of the selling efforts and processes.
    8. Respectful Work Environment. Trust and respect permeate the organization with a focus on teamwork and collaboration.
    9. Inquiring Attitude. Individuals avoid complacency and continuously consider and review existing conditions and activities in order to identify discrepancies that might result in error or inappropriate action.

    It is not surprising that action items focused on revenue generation should align with business imperatives towards effective and efficient operations.  This is especially true when operations personnel are assigned to the pursuit team as they will play a major role assuring successful delivery, i.e. most capital (CAPEX) goods and services.

    Tenant 6, Environment for Raising Concerns is perhaps one of the most important when enabling junior leadership.  For example, if a material issue is identified by a new college graduate in her or his field and unnoticed by more senior individuals schooled in early technologies, failure to be “heard” may have deal failure ramifications, i.e., engineering or software errors.

    Leadership is not part of a title, except by self-serving politicians who routine call themselves leaders.  Leaders are not born either, they are individuals (all ages and genders) who when needed, rise to occasions great and small.  The Rickover Mind Model enables leaders to emerge and that includes leadership during selling processes.

    Complex Deal Pursuit Team

    A deal Pursuit Team is a formal group assigned to drive revenue opportunities for a single deal/long-term strategic relationship or even partnership.  It can be an ad hoc assemblage or more effectively the assembly of experts with this type of experience.  Ideally, for a significant opportunity this team has a sole focus during its lifecycle, but that is not always the case or even practical in some firms or deals.

    Team composition can include, Sales Representative(s), Sales Management, Sales Support Team (as required) Executive Sponsor (if appropriate), Subject Matter Expert(s), Project Management, Third Parties (subcontractors and/or technology/professorial services providers), and others as needed.  Not all participants will be required full time.

    Typically, there are three phases to this process:

    • Relationship and Opportunity Development–The relationship building processes between seller and buyer as well as identification of value that can be added from seller products/services/solutions.
    • Formal Proposal Submission–Development and draft (with revisions) of a documented Scope of Work/Products, Deliverables and Pricing.
    • Proposal Assessment and Acceptance–Buyer review, changes and agreement to move forward–The Deal!

    Leadership is required throughout this process, and it may come from very unlikely sources.  Often top-level technologists and engineers are not the most outgoing folks.  However, their thoughts can be game changing.  It is important that those on the quiet side be actively ‘Included,’ and their ideas sought out and given serious discussion.

    Role of AI Agents

    “AI sales agents are autonomous applications that analyze and learn from your sales and customer data to perform tasks with little or no human input. These agents can perform a wealth of functions, from top-of-funnel tasks like nurturing leads with email outreach, answering questions, booking meetings with sellers, and quote creation to tasks more deeply integrated inside sales teams, like active buyer roleplays and coaching. What makes them different from simple workflow automation is that agents are capable of learning, using data analysis to work more efficiently, taking action on their own.”

    The Pursuit Team is responsible for winning the deal and AI is another tool, not unlike product demonstrations and marketing efforts.  AI inputs should be calibrated and interpreted just like other data sources and analyses.

    Final Thoughts

    Remember that people buy from people and individuals on both the selling and buying teams have personal agendas, such as getting promoted.  Sellers who identify many/most of these concerns stand a better change of closing the deal.

    Closing deals generates jobs.  Both by the vendor and its ecosystem as well as the client who will use the product/service/solution to increase the stakeholder value ecosystem.  Stakeholders are broadly defined including local communities and customer’s customers.

    It is safe to say that the complex selling process is dramatically changing.  Time to get on board!

    Nothing happens until somebody sells something!  How is your company assuring the selling process is routinely successful?

    Pre order our new book

    Navigating the Data Minefields:

    Management’s Guide to Better Decision-Making

    We are living in an era of data and software exponential growth.  A substantive flood hitting us every day.  Geek heaven!  But what if information technology is not your cup of tea and you may even have your kids help with your smart devices?  This may not be a problem at home; however, what if your job depends on Big Data and Artificial Intelligence (AI)?

    Available April 2025

    Ordering Information

    We are also pleased to advise our loyal readers that CRC Press has accepted our proposal for this forthcoming book, Nonlinear Big Data and AI-Enabled Problem-Solving: Transforming From A Spreadsheet Society.  Stay tuned for more details.

    For More Information

    Please note, RRI does not endorse or advocate the links to any third-party materials herein.  They are provided for education and entertainment only.

    See our Economic Value Proposition Matrix® (EVPM) for additional information and a free version to build your own EVPM.

    The author’s credentials in this field are available on his LinkedIn page.  Moreover, Dr. Shemwell is the coauthor of the 2023 book, “Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and Sustainability.”  His focus is on Operational Technologies.

    We are also pleased to announce our forthcoming book to be released by CRC Press in April 2025, Navigating the Data Minefields: Management’s Guide to Better Decision-Making.  This is a book for the non-IT executive who is faced with making major technology decisions as firms acquire advanced technologies such as Artificial Intelligence (AI).

    “People fail to get along because they fear each other; they fear each other because they don’t know each other; they don’t know each other because they have not communicated with each other.” (Martin Luther King speech at Cornell College, 1962).  For more information on Cross Cultural Engagement, check out our Cross-Cultural Serious Game.  You can contact this author as well.

    For more details regarding climate change models, check out Bjorn Lomborg and his book, False Alarm: How Climate Change Panic Costs Us Trillions, Hurts the Poor, and Fails to Fix the Planet.

    Regarding the economics of Climate Change, check out our blog, Crippling Green.

    For those start-up firms addressing energy (including renewables) challenges, the author can put you in touch with Global Energy Mentors which provide no-cost mentoring services from energy experts.  If interested, check it out and give me a shout.

  • Reputation, Reputation, Reputation

    Reputation, Reputation, Reputation

    “It takes 20 years to build a reputation and five minutes to ruin it.  If you think about that, you’ll do things differently.”

    – Warren Buffett

    It is fascinating how many accident videos get posted to social media.  Guess we all go to NASCAR races to see car wrecks.  In some cases, videos are personal disasters for those involved.  In some cases, they are downright funny and in the category of what were they thinking.

    Equipment and facilities damage, lost production/project time, personal injury litigation are just some obvious costs.  One hidden cost is reputational damage.  Would you hire a firm that hires, does not train, and/or tolerates some of this behavior?  Probably not, and in some case a strong safety record is part of the procurement decision process.

    Risk Mitigation

    Most of the social media video show failures in occupational safety.  Typically, in the United States these would fall under the Occupational Safety and Health Administration (OSHA) and/or state and local safety regulations.  This is laudable, but without a broader safety governance framework, a lackadaisical attitude can continue.

    Under a Strong Bond Governance Framework, a robust Operations Management System (OMS) enables both public and private firms to realize the Safety Culture they seek that will keep them off the social media most watched list.

    Strong Bond Governance

    An organizational governance model with the following attributes first put forth by the author in our seminal 2014 book, following the Deepwater Horizon incident.

    • Direct, defined relationships that enables open and valid information between governance members.
    • Led by authorities who are closely connected and strongly bonded.
    • Strong Governance, Risk, and Compliance (GRC) system.
    • Back office and field processes combined into a single information model (OT-IT).
    • Designed for application and use in Mission-Critical Environments. [i]

    [i] Holland, Winford “Dutch” E. and Shemwell, Scott M. (2014). Implementing a Culture of Safety: A Roadmap to Performance-Based Compliance. New York: Xlibris.

    Operational Excellence

    Operational Excellence is the execution of the business strategy more consistently and reliably than the competition, with lower operational risk, lower operating costs, and increased revenues relative to its competitor.  It is needed more than ever in today’s technology driven rapidly changing business models, which require organizations to undergo end-to-end business transformation. Operational Excellence can also be viewed as execution excellence. 

    However, the focus of Operational Excellence goes beyond the traditional continuous improvement methods to a long-term change in organizational culture.  Companies in pursuit of Operational Excellence do two things significantly differently than other companies: they manage their business and operational processes systematically and invest in developing the right culture. 

    Operational Excellence manifests itself through integrated performance across revenue, cost, and risk. It focuses on meeting customer expectation through the continuous improvement of the operational processes and the culture of the organization.  The goal is to develop one single, integrated enterprise level management system with ideal flow.  The second component, a culture of Operational Discipline, is commonly described as doing the right thing, the right way, every time.  This culture is built upon guiding principles of integrity, questioning attitude, always problem-solving, daily continuous improvement mind-set, level of knowledge, teamwork, and process driven.

    Organizations attain and sustain Operational Excellence using tools such as Operations Management System OMS).

    A Typical OMS Framework includes all the major areas involved in organizational processes such as shown in this graphic.

    OMS is a collection of processes and procedures enabling a company to effectively manage business practices and achieve the highest level of Operational Excellence in daily operations.

    One of the more notable examples is the Safety and Environmental Management System (SEMS).  SEMS embodies the Safety Culture into the organization’s OMS.  This systemic model is incorporated into a Strong Bond Governance Framework causing safety to become ‘the way we do business.’  In other words, the culture of the organization and by extension its Ecosystem.

    Systemic Safety Culture

    In a culture of safety, people are not merely encouraged to work toward change; they take action when it is needed.  Inaction in the face of safety problems is taboo, and eventually the pressure comes from all directions — from peers as well as leaders. There is no room in a culture of safety for those who uselessly point fingers or say, “Safety is not my responsibility, so I’ll file a report and wash my hands of it.” 

    — Institute for Healthcare Improvement

    Systemic Safety Culture is the Core Set of Values and Behavioral Economics of ALL participants of the extended organization and its Enterprise Risk Management strategy that reflect a Strong Bond Governance commitment to behaving as a High Reliability Enterprise Ecosystem in a safe and environmentally responsible manner.

    Most Safety Cultures have a set of tenets similar to the nine shown in the following list.  These are based on those developed by the Bureau of Safety and Environmental Enforcement’s (BSEE) for marine offshore oil and gas operations and are typical of those used in other Critical Infrastructure sectors.

    Nine Tenets of a Culture of Safety

    1. Leadership
    2. Problem Identification and Resolution
    3. Personal Accountability
    4. Work Processes
    5. Continuous Learning
    6. An Environment for Raising Concerns
    7. Effective Communications
    8. Trust and Respect
    9. Inquiring Attitude

    Finally, it is common practice for parties to refer to a singular industry ‘Safety Culture.’  In reality since each organization has its own culture, there are literally hundreds if not thousands of Safety Cultures in any critical infrastructure sector.  As shown in the above figure, each individual can interact routinely with a myriad of other cultures, both internal to their organization as well as with external economic players.

    After the Deepwater Horizon disaster in 2010, the authors quickly recognized that all economic players in the industry regardless of size would need to immediately adopt a Safety Culture if they were to survive.

    The resulting 2014 book, Implementing a Culture of Safety: A Roadmap for Performance Based Compliance remains one the few that readers can use as a roadmap to incorporate a Safety Culture into their Operational Excellence business model regardless of industry.

    Smart OpEx

    Fifteen years ago, large organizational Operations Management Systems were struggling to incorporate structural safety as more than the so-called, ‘slips, trips and falls’ of OSHA regulations to one where safety is endemic to the culture.  Smaller firms, often participants in the supplier ecosystem were largely forgiven.  The logic being that the major contractors and operators would assure that the final work product met Safety Culture requirements.  This is no longer the case.  Firms of all sizes in every business sector with an operations component now require an OMS to manage not just internal operations but third-party contractors as well.

    The Smart OpEx Operations Management System software solution is joint venture between The Rapid Response Institute LLC and Knowledge Ops, Inc.

    As Mr. Buffet mentions, reputations can be lost in an instant.  According to a 2007 Harvard Business Review article, “In an economy where 70% to 80% of market value comes from hard-to-assess intangible assets such as brand equity, intellectual capital, and goodwill, organizations are especially vulnerable to anything that damages their reputations.”  While almost 20 years old, the premise of the HBR piece remains the case as Boeing, Bud Light, and others can attest.

    Put systems with checks and balances in place that enable the organizational governance and protect the company from entering the Halls of the Disreputable.

    An individual’s and organization’s reputation are everything.  How are you assuring both are protected?

    Pre order our new book

    Navigating the Data Minefields:

    Management’s Guide to Better Decision-Making

    We are living in an era of data and software exponential growth.  A substantive flood hitting us every day.  Geek heaven!  But what if information technology is not your cup of tea and you may even have your kids help with your smart devices?  This may not be a problem at home; however, what if your job depends on Big Data and Artificial Intelligence (AI)?

    Available April 2025

    Ordering Information

    For More Information

    Please note, RRI does not endorse or advocate the links to any third-party materials herein.  They are provided for education and entertainment only.

    See our Economic Value Proposition Matrix® (EVPM) for additional information and a free version to build your own EVPM.

    The author’s credentials in this field are available on his LinkedIn page.  Moreover, Dr. Shemwell is the coauthor of the 2023 book, “Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and Sustainability.”  His focus is on Operational Technologies.

    We are also pleased to announce our forthcoming book to be released by CRC Press in April 2025, Navigating the Data Minefields: Management’s Guide to Better Decision-Making.  This is a book for the non-IT executive who is faced with making major technology decisions as firms acquire advanced technologies such as Artificial Intelligence (AI).

    “People fail to get along because they fear each other; they fear each other because they don’t know each other; they don’t know each other because they have not communicated with each other.” (Martin Luther King speech at Cornell College, 1962).  For more information on Cross Cultural Engagement, check out our Cross-Cultural Serious Game.  You can contact this author as well.

    For more details regarding climate change models, check out Bjorn Lomborg and his book, False Alarm: How Climate Change Panic Costs Us Trillions, Hurts the Poor, and Fails to Fix the Planet.

    Regarding the economics of Climate Change, check out our blog, Crippling Green.

    For those start-up firms addressing energy (including renewables) challenges, the author can put you in touch with Global Energy Mentors which provide no-cost mentoring services from energy experts.  If interested, check it out and give me a shout.

  • Can Machines Think?

    Can Machines Think?

    In 1950, the mathematician Alan Turing put forth this question.  Rather than attempt to answer it using conventional logic, he proposed a new disruptive model–the Imitation Game.

    The Problem

    One can look at Alan Turing (1912-1954) as the “father of theoretical computer science and artificial intelligence.”  His contributions to modern computer science cannot be understated.  He posited whether computers could one day have the cognitive capabilities of humans.  Some argue that day has arrived.  Yet, how do we know?

    The Turing Game

    The Imitation Game is played by three people (humans).

    (A) a Man,

    (B) a Woman, and

    (C) an Interrogator (of either gender)

    • The Interrogator, segregated into a separate room, is to determine which of the two players is the man and which is the woman.
    • The interrogator askes the two players (known only as “X and Y” or “Y and X”) a series of questions, the answers to which are written or passed through an intermediary so as not to expose the player’s gender.
    • The role of Player (B) is to assist (C) determine the gender of (A), while (A) is to deceive (C).

    However,

    • “What will happen when a machine takes the part of A in this game?  Will the interrogator decide wrongly as often when the game is played like this as he does when the game is played between a man and a woman?  These questions replace our original, Can Machines Think?“

    In his paper, Turing goes to elaborate in detail but for our purposes, the bottom line.

    Will the error rate from a human only decision process be the same as when a machine (digital decision maker) become one of the players?

    Early AI and the Turing Test

    In 1955, McCarthy and Shannon, along with Marvin Minsky and Nathaniel Rochester, defined the AI problem as, “that of making a machine behave in ways that would be called intelligent if a human were so behaving.  In 2013, when asked about Turing’s test in a taped interview, Minsky said, ‘The Turing test is a joke, sort of, about saying a machine would be intelligent if it does things that an observer would say must be being done by a human.’”   This materially connects the early definition of the AI problem to Turing’s test.

    Our intent here is not to split academic hairs but to put forth this concept that predates most readers and is typically not a subject of serious discussion.  The point being that the problem was documented 75 years ago or earlier and this pioneering thinking is the basis of our contemporary definition and implementation of Artificial Intelligence.

    Before Turing

    In one sense, we all stand on the shoulders of giants who preceded us.  “When you think about the origins of computer science, the name Ada Lovelace might not come to mind immediately—but it should.  Born in 1815, Ada Lovelace was an English mathematician and writer whose visionary work laid the foundation for modern computing.  Collaborating with Charles Babbage (considered to be the father of computing), the inventor of the Analytical Engine, Lovelace wrote what is widely recognized as the first algorithm designed for a machine.”

    “Ada was the first to explicitly articulate this notion and in this she appears to have seen further than Babbage.  She has been referred to as ‘prophet of the computer age‘.  Certainly, she was the first to express the potential for computers outside mathematics.”  In the computer Familia, we might also want to think of her as the grandmother of computing.

    Other women who played a major role in the evolution of Artificial Intelligence (after Turing) include Navy Rear Admiral Grace Hopper, the inventor of the first compiler for a programming language as well as other innovations.  Many others made significant contributions.  No doubt women will continue to play a vital role with this game changing technology.

    The Solution(s)

    Twelve years have passed since Minsky’s statement that the Turing test is a joke.  Today’s artificial intelligence capability has changed that landscape.

    The argument becomes, not can ‘we’ meet the Turing test, but how far and fast will it be eclipsed.  This suggests exciting times with associated challenges and risks.

    Contemporary Thinking about the Test

    “As AI systems are increasingly deployed in high-stakes scenarios, we may need to move beyond aggregate metrics and static benchmarks of input–output pairs, such as the Beyond the Imitation Game Benchmark (BIG-bench). We should be prepared to evaluate an AI’s cognitive abilities in a way that resembles the realistic settings in which it will be used.  This can be done with modern Turing-Like Tests.”  As shown in the following figure.

    “Looking ahead, Turing-like AI testing that would introduce machine adversaries and statistical protocols to address emerging challenges such as data contamination and poisoning.  These more rigorous evaluation methods will ensure AI systems are tested in ways that reflect real-world complexities, aligning with Turing’s vision of sustainable and ethically guided machine intelligence.”

    Computer Game Bot Turing Test

    “The computer game bot Turing test is a variant of the Turing test, where a human judge viewing and interacting with a virtual world must distinguish between other humans and video game bots, both interacting with the same virtual world. This variant was first proposed in 2008 by Associate Professor Philip Hingston of Edith Cowan University, and implemented through a tournament called the 2K BotPrize.”

    This pundit believes that the Turning test dam has been broken, and greater things lie ahead.

    Today’s Father of AI – Geoffrey Hinton, The Nobel Prize in Physics 2024

    “When we talk about artificial intelligence, we often mean machine learning using artificial neural networks. This technology was originally inspired by the structure of the brain.  In an artificial neural network, the brain’s neurons are represented by nodes that have different values.  In 1983–1985, Geoffrey Hinton used tools from statistical physics to create the Boltzmann machine, which can learn to recognize characteristic elements in a set of data.  The invention became significant, for example, for classifying and creating images.”

    Together with John J. Hopfield, they used physics to find patterns in information.  Dr. Hinton has expressed some concerns regarding his (AI) child as he states in the following interview from October 9, 2023.

    Theoretical Basis of Tests

    In this pundit’s opinion, the Turing test used Game Theory as a fundamental underpinning.  A later theory, Relationships, Behaviors and Conditions enables newer derivatives of the original Turing Test as well as supports different approaches to the problem.  These theories are briefly described.

    Finally, it is not necessary to read this section, as these details are provided for completeness and to support the position taken.  We understand that this level of detail is not for every reader.

    Over the past few years, there has been an impassioned argument regarding ‘The Science.”  We addressed this issue in 2020, and the following paragraph is taken from that Blog, They Blinded Me with Science.

    “According to Scientific American, Scientific claims are falsifiable—that is, they are claims where you could set out what observable outcomes would be impossible if the claim were true—while pseudo-scientific claims fit with any imaginable set of observable outcomes.  What this means is that you could do a test that shows a scientific claim to be false, but no conceivable test could show a pseudo-scientific claim to be false.

    Sciences are testable, pseudo-sciences are not.”

    There is academic peer reviewed agreement that both Game Theory and RBC hypotheses are testable.

    Game Theory

    Concurrent with Turing’s Imitation Game development, game theory was being formalized as an approach towards economic behavior modeling among economic ‘rational’ actors.

    “Game theory emerged as a distinct subdiscipline of applied mathematics, economics, and social science with the publication in 1944 of Theory of Games and Economic Behavior, a work of more than six hundred pages written in Princeton by two Continental European emigrés, John von Neumann, a Hungarian mathematician and physicist who was a pioneer in fields from quantum mechanics to computers, and Oskar Morgenstern, a former director of the Austrian Institute for Economic Research.  They built upon analyses of two-person, zero-sum games published in the 1920s.”  This treatise was developed from the works of other pioneers of the 1920s and 1930s.

    An interesting side note, “The software industry is a little over half a century old (in 2005), but its roots date back to the textile loom programming of the seventeenth century that powered the Charles Babbage Difference Engine. In 1946, ENIAC (Electronic Numerical Integrator and Computer), the first large-scale general-purpose electronic computer built at the University of Pennsylvania, ushered in the modern computing era.

    That same year (1946), John von Neumann coauthored a paper, Preliminary Discussion of the Logical Design of an Electronic Computing Instrument.  The von Neumann general purpose architecture defines the process of executing a continuous cycle of extracting an instruction from memory, processing it, and storing the results has been used by programmers ever since.“(1) 

    Perhaps, this is part of the collision of the two major breakthroughs: Game Theory and the modern Computer Architecture.

    In 1996, this author’s doctoral dissertation, Cross Cultural Negotiations between Japanese and American Businessmen: A Systems Analysis, (Exploratory Study) was “An exploratory test of this framework in the context of two-person zero-sum simulated negotiation between Japanese businessmen and American salesmen, both living and working in the United States.  The integration of structural (game theory) and process theories (RBC) into a dynamic systems model seeks to better understand the nature of complex international negotiations.  Advanced statistical techniques, such as structural equation modeling are useful tools providing insight into these negotiation dynamics.”

    This work is the basis for the Cloud based Serious Games used to train Cross Cultural Teams.

    Relationships, Behaviors and Conditions (RBC) Framework

    This model has been part of numerous this pundit’s writings since 1996.  A brief overview from a 2011 article follows.

    “The Relationships, Behaviors, and Conditions (RBC) model was originally developed to address issues around cross cultural (international) negotiation processes.   Relationships are the focal point of this perspective, reflecting commonality of interest, balance of power and trust as well as intensity of expressed conflict.

    Behavior in this model is defined as a broad term including multidimensions – intentional as well as unintentional.  Finally, Conditions are defined as active and including circumstances, capabilities and skills of the parties, culture, and the environment.  Of course, time is a variable in this model as well.

    One key feature of the R B C Framework is its emphasis on interactive relationships while providing an environment for multiple levels of behavioral analysis. This makes it a useful tool to better understand the new regulatory processes currently unfolding.  As we will see later, the number of constituents now engaged belays the use of simplistic linear decision models.”(2)

    Operational Excellence

    The following excerpt from our 2017 Blog, Excellent Behaviors: Assessing Relationships in the Operational Excellence Ecosystem addresses the role of the RBC Framework in organizational excellence.

    “One of the hot business buzzwords of 2017 is “Operational Excellence.” It has been the subject for many pundits, including this one.

    In October and November we published a two-part series, Assuring Operational Excellence from Contractors and Their Subcontractors through BTOES Insights.  Each part included a link to additional information.

    The October edition featured an excerpt of our Implementing a Culture of Safety book. In the November edition we released our new Best Practice solution, Attaining & Sustaining Operational Excellence: A Best Practice Implementation Model. We are proud to make it available herein and in general.

    One of the basic tenets of the RBC Framework is the general construct that Relationships cannot be determined a priori.  The well-used example is a man and a woman sitting on a bench at a bus stop.  Are they married, siblings, coworkers, friends or simply two people waiting to catch the same/different bus?

    Their relationship cannot be known directly. However, their Behaviors will provide insight into how they relate to each other.  Romantic behavior may indicate marriage, dating, an affair etc.  They may still be coworkers but most likely are not strangers.

    The third dimension, Conditions (environment) can be considered the stage upon which behaviors play.  So, what does this have to do with Operational Excellence?

    Another component of our digital environment is Human Systems Integration (HSI). In our forthcoming book, we have defined HSI as, “Human Systems Integration (HSI) considers the following seven domains: Manpower, Personnel, Training, Human Factors Engineering, Personnel Survivability, Habitability, and Environment, Safety and Occupational Health (ESOH).  In simple terms, HSI focuses on human beings and their interaction with hardware, software, and the environment.”

    We have crossed the Turing Rubicon.  How will your organization capitalize on these Opportunities?

    Hardcopy References

    1. Shemwell, Scott M. (2005). Disruptive Technologies—Out of the Box. Essays on Business and Information Technology Alignment Issues of the Early 21st Century. New York: Xlibris. p. 127.

    2. _______ (2011, January). The Blast Heard Around the World. Petroleum Africa Magazine. pp. 32-35.

    Pre order our new book

    Navigating the Data Minefields:

    Management’s Guide to Better Decision-Making

    We are living in an era of data and software exponential growth.  A substantive flood hitting us every day.  Geek heaven!  But what if information technology is not your cup of tea and you may even have your kids help with your smart devices?  This may not be a problem at home; however, what if you job depends on Big Data and Artificial Intelligence (AI)?

    Available April 2025

    Ordering Information

    For More Information

    Please note, RRI does not endorse or advocate the links to any third-party materials herein.  They are provided for education and entertainment only.

    See our Economic Value Proposition Matrix® (EVPM) for additional information and a free version to build your own EVPM.

    The author’s credentials in this field are available on his LinkedIn page.  Moreover, Dr. Shemwell is the coauthor of the 2023 book, “Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and Sustainability.”  His focus is on Operational Technologies.

    We are also pleased to announce our forthcoming book to be released by CRC Press in April 2025, Navigating the Data Minefields: Management’s Guide to Better Decision-Making.  This is a book for the non-IT executive who is faced with making major technology decisions as firms acquire advanced technologies such as Artificial Intelligence (AI).

    “People fail to get along because they fear each other; they fear each other because they don’t know each other; they don’t know each other because they have not communicated with each other.” (Martin Luther King speech at Cornell College, 1962).  For more information on Cross Cultural Engagement, check out our Cross-Cultural Serious Game.  You can contact this author as well.

    For more details regarding climate change models, check out Bjorn Lomborg and his book, False Alarm: How Climate Change Panic Costs Us Trillions, Hurts the Poor, and Fails to Fix the Planet.

    Regarding the economics of Climate Change, check out our blog, Crippling Green.

    For those start-up firms addressing energy (including renewables) challenges, the author can put you in touch with Global Energy Mentors which provide no-cost mentoring services from energy experts.  If interested, check it out and give me a shout.

  • Who Owns the Intellectual Property Generated by AI?

    Who Owns the Intellectual Property Generated by AI?

    Disclaimer:  The author is not an attorney, and this document is not meant to be a legal opinion in any sense.  Interested readers should contact their legal counsel for any Intellectual Property (IP) determination.  This blog simply raises a question that is generally not addressed regarding ownership rights of the content and products developed using artificial intelligence emerging technologies.  One suspects that going forward, this issue will become more forefront.

    Moreover, this is a fast-moving environment with new local laws and promulgated regulations continuously updated.  Readers are cautioned that some of the materials herein may be quickly dated.  Appropriate legal counsel and other experts should be consulted.

    Like most new software technologies, there is a period of the Wild West where anything seems to go.  Artificial Intelligence (AI) has been no different, but now these horses are beginning to be reined in.

    It is generally accepted that the ownership of content developed using third party software belongs to the generator of said content.  Data, the results of analytics and their interpretation, computer generated audio video materials, etc. are generally covered by this convention and codified by law.  The spreadsheet vendor does not own the financial analysis that leads to major value add to the firm.  Conversely, if the financial model is flawed, the software developer is generally not liable.

    However, Artificial Intelligence is a different technology model.  It dictates that organizational AI policies recognize the disruptive change caused.  For example, the publisher of my new book, Navigating the Data Minefields: Management’s Guide to Better Decision-Making has issued its author, AI Policy.

    An AI engine searches for data and information from a wide variety of sources.  It then amalgamates and analyzes and/or develops what some consider a new product or solution–document, image, or new approach/model, e.g. medical technique.  However, did the AI secure permission from the data owner(s) or even cite its source(s)?  The most likely answer is no.  A follow-on statement might be, “why do we need that?”

    Copyright

    According to the U.S. Copyright Office, “Copyright is a type of intellectual property that protects original works of authorship as soon as an author fixes the work in a tangible form of expression.  In copyright law, there are a lot of different types of works, including paintings, photographs, illustrations, musical compositions, sound recordings, computer programs, books, poems, blog posts, movies, architectural works, plays, and so much more!”  The Copyright Office goes on to state, “Works are original when they are independently created by a human author and have a minimal degree of creativity.”
     
    In the UK, “Two conflicting views emerged.  The tech sector believes the copyright to AI-generated content should belong to users, whereas the creative sector wants this content to be excluded from ownership completely.”
     
    From a 2022 Reuters article about a lawsuit over, Gen AI generated content.
    “Accordingly, unless a generative AI is used in such a manner that its output would be recognizably linked to some person or entity who is likely to actively police the use of their works and whose works are likely to be registered, the risk of the generative AI’s users being sued for infringement seems low.
     
    In practice, the legal issues surrounding generative AI mean that its outputs should be handled in a manner similar to materials covered by open source or creative commons licenses — i.e., with policies and procedures which ensure use only in appropriate manners and cases.  This includes determining if a project where generative AI would be used is something whose results would need to be protected and, if so, determining whether tools are available for that protection other than copyright.
     
    It also includes avoiding high risk uses, such as using generative AI to attempt to replicate the work of a particular artist whose materials were used as training data. However, with intentionality and forethought, the risks associated with generative AI can be managed, and this new technology can bring tremendous benefits to those who deploy it intelligently.“
     
    Later, we will address two other types of Intellectual Property, Patents and Trademarks.  Both have a lengthy pedigree as well that must be considered in our new AI era.
     

    Data Privacy

    Data privacy and security are major issues organizations must deal with, and the regulatory burden is onerous.  Most readers have heard of HIPPA; the need to keep individual medical records confidential.  HIPPA is symptomatic of the need to treat ALL data in secure and private.

    From the GDPR, “The General Data Protection Regulation (GDPR) is the toughest privacy and security law in the world.  Though it was drafted and passed by the European Union (EU), it imposes obligations onto organizations anywhere, so long as they target or collect data related to people in the EU.  The regulation was put into effect on May 25, 2018.   The GDPR will levy harsh fines against those who violate its privacy and security standards, with penalties reaching into the tens of millions of euros.”

    The EU regulations are viewed as the ‘gold standard’ and others worldwide are in the process of emulating them.  Increased date management regulations are a given, as is their impact on AI learning.

    IP Guardrails

    Individuals and organizations jealously guard their intellectual properties, as they should.  Just think of the significant value Disney has built over 100 years from a cartoon mouse.

    Some may see AI as an assault on the organization’s core and take legal action they believe appropriate.  Others will try to capitalize on loopholes.  This is not different behavior from the IP current practice.

    AI advocates will find themselves in the midst of what could be a significant number of legal challenges as the technology and its regulation matures.  The current long-standing legal battles over social media platforms is but one example of this process.

    IP Ownership of AI Generated Content: The Movie

    Summary of the Video

    Briefly, in the video dated January 7, 2024, the attorney makes the following key points:

    • Copyright extends only to humans and AI content generated by products such as ChatGPT do not meet the ‘human’ authorship test.  However, if a human is actively engaged in the development of (and change) said content, things get less clear.
    •  Regarding AI generated inventions, Patent law becomes more relevant.  The speaker argues that ‘at least today’ patent laws mirror copyright because human creativity is key.
    • As far as AI generated Trademarks are concerned, these products such as logos, tag lines, etc. do not enjoy original authorship protection, but their ‘first use’ has precedence.  For more information he references the U.S. Patent and Trademark Office (USPTO).
    • Finally, he states that this area of the law is unfolding, and change is likely.

    These points were transcribed by this pundit.  As such, they are only his perception and must be viewed skeptically when addressing a specific ‘real’ question regarding this subject matter.  The attorney’s fifth bullet is probably the most important one.

    Final Thoughts

    Intellectual Property ownership is an area that technologists and software developers are generally not involved with.  Additionally, many have historically treated the content found online as if it is in the public domain.  We now know that authorship should be attributed.

    For most of the things individuals and organizations do with online content this is not an issue.  Blogs, political opinion and technology critique among others come to mind.

    However, AI has the potential to change fortunes (wealth, reputation and other) of individuals and organizations.  Finally, the regulatory environment is evolving, and dramatic changes are most likely forthcoming.

    Individual creators, management and others have a responsibility to assure AI developed content meets, and not just the regulations (in each jurisdiction the firm operates in).  Moreover, governance enforcement models must add AI technologies and assure that others are not infringing on the firm’s IP with potential risks of capital and reputational loss.

    One Last Thing

    With the need to protect data as well as assure all key intellectual property is protected, will this negatively impact on the output of AI models?  What will be the basis of gen AI training if it cannot gain access to the universe of data they require?  And yes, I know we often sign away certain rights when we engage with some organizations, but we can ‘opt out’ of allowing access to our data.

    Another Blog for a later time but in the meantime, just a question.

    How is your organization addressing these and other Intellectual Property issues emerging from Gen AI and other content developers?

    Pre order our new book

    Navigating the Data Minefields:

    Management’s Guide to Better Decision-Making

    We are living in an era of data and software exponential growth.  A substantive flood hitting us every day.  Geek heaven!  But what if information technology is not your cup of tea and you may even have your kids help with your smart devices?  This may not be a problem at home; however, what if you job depends on Big Data and Artificial Intelligence (AI)?

    Available April 2025

    Ordering Information

    For More Information

    Please note, RRI does not endorse or advocate the links to any third-party materials herein.  They are provided for education and entertainment only.

    See our Economic Value Proposition Matrix® (EVPM) for additional information and a free version to build your own EVPM.

    The author’s credentials in this field are available on his LinkedIn page.  Moreover, Dr. Shemwell is the coauthor of the recently published book, “Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and Sustainability.”  His focus is on Operational Technologies.

    We are also pleased to announce our forthcoming book to be published by CRC Press in 2025, Navigating the Data Minefields: Management’s Guide to Better Decision-Making.  This is a book for the non-IT executive who is faced with making major technology decisions as firms acquire advanced technologies such as Artificial Intelligence (AI).

    “People fail to get along because they fear each other; they fear each other because they don’t know each other; they don’t know each other because they have not communicated with each other.” (Martin Luther King speech at Cornell College, 1962).  For more information on Cross Cultural Engagement, check out our Cross-Cultural Serious Game.  You can contact this author as well.

    For more details regarding climate change models, check out Bjorn Lomborg and his book, False Alarm: How Climate Change Panic Costs Us Trillions, Hurts the Poor, and Fails to Fix the Planet.

    Regarding the economics of Climate Change, check out our blog, Crippling Green.

    For those start-up firms addressing energy (including renewables) challenges, the author can put you in touch with Global Energy Mentors which provide no-cost mentoring services from energy experts.  If interested, check it out and give me a shout.

  • Strategic Sourcing?

    Strategic Sourcing?

    Is outsourcing software development strategic or simply a cost saving method?

    It Depends

    The most infamous words in software development.  Yes, it depends on the task at hand, but this cop out has long been a way to forego the development of a robust economic value and risk assessment.

    According to one vendor, “Engineering started becoming a commodity.”  But is this true if your product and organizational reputation are based on the long-earned perception that your organization provides the very best in safe and cost-effective solutions?

    What is your solution must work all the time, every time, e.g. medical equipment?  The list goes on, but readers get the point.

    Strategic Sourcing

    According to CIPS, the Chartered Institute of Procurement & Supply, “Strategic sourcing is about having a targeted approach to your procurement activity.  A sourcing strategy will help you to formalise the way you gather information, so you can find the best possible value that aligns with your organisation’s goals, long term.  Strategic sourcing is a long-term process and requires continuous re-evaluation of sourcing activities, analysis of the market and recognising your organisations goals.

    Strategic sourcing is important because it can help you save costs through the monitoring of the market and sourcing the right suppliers.  It also acts as a way to maintain long-term relationships with suppliers and they are selected on their compatibility with your organisation’s goals.”

    While strategic sourcing has its value, it cannot replace organization core competency.  These are two very different business requirements.

    Core Competency

    From One definition, “core competencies refer to the capabilities, knowledge, skills and resources that constitute its defining strengths.  Core competencies distinguish a company from other organizations and are, therefore, not easily replicated by those organizations, whether they’re existing competitors or new entrants into its market.”

    Not all engineering meets the test of core competency, but management must perform proper ‘due diligence’ before outsourcing technology and processes that either do or might meet this test.  In other words, effective Risk Profiling.

    Max 8 Headlines, Again

    The once storied aerospace firm, Boeing just can’t seem to catch a break.  A self-made purgatory: the gift that keeps on giving.  Offshoring engineering software development as a cost saving method appears to have backfired.

    Damningly, Multiple investigations – including a Justice Department criminal probe – are trying to unravel how and when critical decisions were made about the Max’s software.  During the crashes of Lion Air and Ethiopian Airlines planes that killed 346 people, investigators suspect, the MCAS system pushed the planes into uncontrollable dives because of bad data from a single sensor.

    That design violated basic principles of redundancy for generations of Boeing engineers, and the company apparently never tested to see how the software would respond, Lemme said.  “It was a stunning fail,” he said.  “A lot of people should have thought of this problem – not one person – and asked about it.”

    To this observer, it appears that this software met the test for core competency.  If this is the case, why would this be outsourced to save a few bucks?  It certainly appears to be outside the organization’s culture of redundancy that has served the organization well for decade.  A third-party vendor most likely would not share this cultural trait.

    How does your organization handle Bet Your Company procurement decisions?

    Pre order our new book

    Navigating the Data Minefields:

    Management’s Guide to Better Decision-Making

    We are living in an era of data and software exponential growth.  A substantive flood hitting us every day.  Geek heaven!  But what if information technology is not your cup of tea and you may even have your kids help with your smart devices?  This may not be a problem at home; however, what if you job depends on Big Data and Artificial Intelligence (AI)?

    Available April 2025

    Ordering Information

    For More Information

    Please note, RRI does not endorse or advocate the links to any third-party materials herein.  They are provided for education and entertainment only.

    See our Economic Value Proposition Matrix® (EVPM) for additional information and a free version to build your own EVPM.

    The author’s credentials in this field are available on his LinkedIn page.  Moreover, Dr. Shemwell is a coauthor of the recently published book, “Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and Sustainability.”  His focus is on Operational Technologies.

    We are also pleased to announce our forthcoming book to be published by CRC Press in 2025, Navigating the Data Minefields: Management’s Guide to Better Decision-Making.  This is a book for the non-IT executive who is faced with making major technology decisions as firms acquire advanced technologies such as Artificial Intelligence (AI).

    “People fail to get along because they fear each other; they fear each other because they don’t know each other; they don’t know each other because they have not communicated with each other.” (Martin Luther King speech at Cornell College, 1962).  For more information on Cross Cultural Engagement, check out our Cross-Cultural Serious Game.  You can contact this author as well.

    For more details regarding climate change models, check out Bjorn Lomborg and his book, False Alarm: How Climate Change Panic Costs Us Trillions, Hurts the Poor, and Fails to Fix the Planet.

    Regarding the economics of Climate Change, check out our blog, Crippling Green.

    For those start-up firms addressing energy (including renewables) challenges, the author can put you in touch with Global Energy Mentors which provide no-cost mentoring services from energy experts.  If interested, check it out and give me a shout.

  • The Crisis/Challenge of AI in 2025

    The Crisis/Challenge of AI in 2025

    “Many processes are repeatable and only data inputs change.”

                                                                                                         — Scott Shemwell, 2023.

    Technology disruption has been with humankind since the first invention.  We get used to one model and suddenly, a new way supplants the old.  Much has been written about the innovation process, and it is not the focus of this Blog to regurgitate the obvious.

    However, Wikipedia states, “Beyond business and economics disruptive innovations can also be considered to disrupt complex systems, including economic and business-related aspects.  Through identifying and analyzing systems for possible points of intervention, one can then design changes focused on disruptive interventions.”  This is the broader focus of this piece.

    Human Redundancy?

    One if the ongoing concerns, “will AI replace humans?”  As of this writing, many do not believe it will, at least anytime soon.  Interestingly, according to Harvard professor Karim Lakhani, “Just as the internet has drastically lowered the cost of information transmission, AI will lower the cost of cognition.”  This is consistent with the traditional path of Information Technology innovation.

    Moreover, this concern is not new.  In her 1983 paper, Ironies of Automation, Lisanne Bainbridge posited that there are inherent problems with automating workflow, humans are still required for tasks that are not easily (if at all) automated.  Oversight of automation requires more training in new job skills, not less.  More recently, the former Chief Scientist of the US Air Force points out the “Original Ironies of Automation is highly relevant with regards to today’s new wave of AI-enhanced automation.  Near misses and incidents involving human automation operations often arise from a mismatch between the properties of the system as a whole and the characteristics of human information processing.”

    In our forthcoming book we address the need for Strong Oversight coupled with Standardization and Risk Tolerance to address the broader need for upskilling today.  According to McKinsey, “Any engineering talent rethink needs to begin with an understanding of how gen AI will affect the product development life cycle.”

    Paraphrasing Mark Twain, “The rumors of Human demise are greatly exaggerated.”  AI is here to stay and should be embraced with cautionary guardrails as it is still immature and subject to error.

    Human Factors

    One pundit refers to the ‘Human Edge‘ as the competitive Advantage we have over machines.  This pundit has long been an advocate for Human Factors when it comes to managing technology, especially emerging technology used for process or production management.  The risk profile otherwise is just to0 steep and high.  One only has to look at the recent travails of the once venerable firm, Boeing.

    2025 and Beyond

    Artificial Technology, its future derivative products and solutions not yet envisioned will continue.  Most likely at the breakneck speed or faster of today.  Remember when we used to think of the Internet growth in terms of Dog Years?  Insect Years may be the new metric.

    Many, including this writer as documented in our book, believe AI et al is just entering the explosive growth on the maturation curve.  We must live with it and the most successful will get ‘on board’ when the timing is right for them.

    Exciting times lie before us all and it is a great time to be alive, at least from a technology perspective.

    How are you, your family and work colleagues prepared for the future?

    Pre order our new book

    Navigating the Data Minefields:

    Management’s Guide to Better Decision-Making

    We are living in an era of data and software exponential growth.  A substantive flood hitting us every day.  Geek heaven!  But what if information technology is not your cup of tea and you may even have your kids help with your smart devices?  This may not be a problem at home; however, what if you job depends on Big Data and Artificial Intelligence (AI)?

    Available April 2025

    Ordering Information

    For More Information

    Please note, RRI does not endorse or advocate the links to any third-party materials herein.  They are provided for education and entertainment only.

    See our Economic Value Proposition Matrix® (EVPM) for additional information and a free version to build your own EVPM.

    The author’s credentials in this field are available on his LinkedIn page.  Moreover, Dr. Shemwell is a coauthor of the recently published book, “Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and Sustainability.”  His focus is on Operational Technologies.

    We are also pleased to announce our forthcoming book to be published by CRC Press in 2025, Navigating the Data Minefields: Management’s Guide to Better Decision-Making.  This is a book for the non-IT executive who is faced with making major technology decisions as firms acquire advanced technologies such as Artificial Intelligence (AI).

    “People fail to get along because they fear each other; they fear each other because they don’t know each other; they don’t know each other because they have not communicated with each other.” (Martin Luther King speech at Cornell College, 1962).  For more information on Cross Cultural Engagement, check out our Cross-Cultural Serious Game.  You can contact this author as well.

    For more details regarding climate change models, check out Bjorn Lomborg and his book, False Alarm: How Climate Change Panic Costs Us Trillions, Hurts the Poor, and Fails to Fix the Planet.

    Regarding the economics of Climate Change, check out our blog, Crippling Green.

    For those start-up firms addressing energy (including renewables) challenges, the author can put you in touch with Global Energy Mentors which provide no-cost mentoring services from energy experts.  If interested, check it out and give me a shout.

  • DOGE’d

    DOGE’d

    The Day the Congress Stood Still

    On December 18, 2024, Elon Musk delivered on the social media site, 𝕏  the death knell of a 1500+ page so called Continuing Resolution that was to stave off a Federal Government shutdown.  Later it was replaced with a much shorter (100+ page) bill that passed largely intact.

    This Out-of-the-Gate action by the Non-Government Organization (NGO), DOGE (Department of Government Efficiency) may foretell the next 18+ months of DOGE’s self-imposed life ending July 4, 2026.  This first Musk assessment revealed extensive and massive political pork earmarked spending.

    The Congress and all manner of hired bureaucrats may face increased public scrutiny, posted for all to see.  Who knows, the idea may expand to all levels of government and their hired hands.

    Creative Destruction

    Previously, we discussed this economic substitution model.  “The economist Joseph Schumpeter was the first to coin the term creative destruction–the destruction of old markets and those active in them through innovation, & inventing of new markets, this can be new technologies, methods, business models, services, or products.”  One can argue that the creative destruction cycle time is very short today.

    And perhaps getting even shorter!

    Gort or Grok?

    In the original (1951) movie, The Day the Earth Stood Still, the robot Gort has the ability to destroy the world.  It is prevented from doing so by the utterance (by a human) of the key words, “Klaatu barada nikto.”

    According to 𝕏, the Artificial Intelligence (AI) robot of today, Grok (formally defined as “to understand something”) “leverages the 𝕏 platform to understand what’s happening in the world in real time. We recently launched two additional features to enhance this experience even further: web search and citations.  Now Grok draws upon posts from 𝕏 and webpages from the broader internet to provide timely and accurate answers to your queries.  We also added citations, so you can easily dive deeper into a source to learn more or verify the information provided by Grok.”

    Fortunately, three simple words neutralized Gort, and the earth was saved.  Grok will not so easily be rendered impotent, unless the First Amendment is repealed.

    The government world has been (figurately) creatively destroyed and changed forever.  Moreover, in their world of consistent suboptimal performance, most have no idea what has already happened to their cherished long-standing bureaucratic processes.

    The Regulatory Public Comment period will never be the same.

    After DOGE

    It appears that Musk has put in place an AI solution that will live on after the formal closure of DOGE in 2026.  Grok and other emerging AI tools can continue to review and assess each and every piece of proposed legislation and other government edicts regardless of length and/or complexity.

    Like Hacking, those opposed to honesty will seek ways to thwart AI.  Those providing transparency solutions will need to stay one step ahead, just like law enforcement agencies that are required to enforce and uphold the law.  If accepted social behaviors norms are to prevail, transparency is demanded.

    Finally, we can “read the bill to find out what is in it.”  Prior to voting!

    This Accountability Sucks!

    Well, get over it!  One suspects entrenched vested interests will try to find ways around this revolution, but likely to no avail.  There is not only a new sheriff in town, even after he leaves, the new accountability will remain.

    And so much for the current media business model whereby either a single individual or small group amalgamates society’s daily activities and present the proletariat with their (often agenda driven/opinionated/biased) version of THE NEWS.

    How will you take advantage of the AI delivery of information?

    Pre order our new book

    Navigating the Data Minefields:

    Management’s Guide to Better Decision-Making

    We are living in an era of data and software exponential growth.  A substantive flood hitting us every day.  Geek heaven!  But what if information technology is not your cup of tea and you may even have your kids help with your smart devices?  This may not be a problem at home; however, what if you job depends on Big Data and Artificial Intelligence (AI)?

    Available April 2025

    Ordering Information

    For More Information

    Please note, RRI does not endorse or advocate the links to any third-party materials herein.  They are provided for education and entertainment only.

    See our Economic Value Proposition Matrix® (EVPM) for additional information and a free version to build your own EVPM.

    The author’s credentials in this field are available on his LinkedIn page.  Moreover, Dr. Shemwell is a coauthor of the recently published book, “Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and Sustainability.”  His focus is on Operational Technologies.

    We are also pleased to announce our forthcoming book to be published by CRC Press in 2025, Navigating the Data Minefields: Management’s Guide to Better Decision-Making.  This is a book for the non-IT executive who is faced with making major technology decisions as firms acquire advanced technologies such as Artificial Intelligence (AI).

    “People fail to get along because they fear each other; they fear each other because they don’t know each other; they don’t know each other because they have not communicated with each other.” (Martin Luther King speech at Cornell College, 1962).  For more information on Cross Cultural Engagement, check out our Cross-Cultural Serious Game.  You can contact this author as well.

    For more details regarding climate change models, check out Bjorn Lomborg and his book, False Alarm: How Climate Change Panic Costs Us Trillions, Hurts the Poor, and Fails to Fix the Planet.

    Regarding the economics of Climate Change, check out our blog, Crippling Green.

    For those start-up firms addressing energy (including renewables) challenges, the author can put you in touch with Global Energy Mentors which provide no-cost mentoring services from energy experts.  If interested, check it out and give me a shout.