Tag: algorithm

  • Artificial Stupidity

    Artificial Stupidity

    Listen closely and pay attention as our menu has changed.

    The frustration to the automated phone operator are legend.  All of us have had our issues with this form of (non) customer service.

    Recently this pundit placed a call at a number provided by the vendor and went though all the (voice) menu items, only to hit the ‘other’ button.  At this point, I was advised to dial the number I already had.  So much for Artificial Intelligence (AI) and welcome to the era of Artificial Stupidity.

    Firms are all jumping on the AI bandwagon, even though the technology is immature at best.   Sound like the dot.com bomb of a quarter of a century ago.  One wonders, what damage to their brand are the organizations incurring?

    Enter the MVP Mindset

    In recent years the software development sector has ‘Dumbing Down’ the level of  product commerciality.  Minimum Viable Product or MVP can be defined as, “The version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort.”  Used to be called BETA in the good old days.  Now MVP is often seen as THE commercially released product.  Dah, hence the issues, frustration and lack of credibility in so-called AI solutions.

    All Things AI

    As mentioned, AI is all the rage.  Much like a fashion statement. everyone is jumping on that bandwagon.  But does it work?  Moreover, it encompasses a large spectrum of operations.

    Basically, anything that need big data crunching.  Yet crunching numbers is only interesting at best.  What problem is being solved?  This is where the weakness continues.  Algorithms are only as good as their author.  Some argue machines will take over this task, but one doubts anytime soon.  For example, jet engine commercial airlines are over 65 years old but increasingly seem to have construction/maintenance issues.  What makes us think this technology will be any different?  The Technology Adoption curve can be very lengthy and full of potholes.

    The judicious use of commercial quality software makes the most sense.  Just because every one is doing it is not a shareholder value added.  In many cases a sloppy approach actually decreases equity value.

    What is your organization’s approach to new technology and how does it add value?

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    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 just published book, “Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and Sustainability.”  His focus is on Operational Technologies.

    “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 ands his latest 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.

  • Heavy Metal Rocks

    Heavy Metal Rocks

    Not the rock bands of the 1960s–1980s, but the mining required to extract the heavy metals necessary for electric vehicles and other renewable energy solutions.  So, what is a heavy metal and why do we care?

    Typically, “In science, a heavy metal is a metallic element which is toxic and has a high densityspecific gravity or atomic weight. However, the term means something slightly different in common usage, referring to any metal capable of causing health problems or environmental damage.”  Often these toxic elements are carcinogenic.

    For most readers this will not come as a surprise.  The heavy metals in batteries can be recycled, thus minimizing their negative impact on the environment and subsequently, humans and other life forms, i.e., the food chain.  However, smaller batteries are typically tossed into the trash.  Larger ones such as lead acid automotive batteries are usually reclaimed (for a fee to the consumer).

    From this pundit’s perspective, it is too early in the technology maturity to fully understand how millions of EV (electric vehicle) will be recycled effectively and economically.  Managing the lifecycle of these ‘elements’ from mining, use, recycling and reuse is a significant component of these renewables.  There is a cost associated with this process, both monetary and socially.

    Total Carbon Ownership

    In the business, the term TCO usually referees to the Total Cost of Ownership.  Updated, this Lifecycle metric may better reflect the Total Carbon impact of a product/solution, i.e., large scale batteries, solar panel, fossil fuels, etc.

    TCO = Carbon as a function of two major lifecycle elements; Operations and Decommissioning.

    For this purpose we define Operations (aka Use) as the lifecycle process from mineral extraction, manufacturing, deployment and maintenance.

    Decommissioning is the process of taking out of service, removal and appropriate disposal of components, including recycling.

    Follow on from our blog of November 2, 2021, where Milton Friedman detailed the complex supply chain required to manufacture a simple yellow graphite pencil, one can only imagine how complex the requirements are for a wind turbine.  Carbon neutral is not a simple problem to solve.

    Enter Structural Dynamics

    Many readers understand that Machine Learning Algorithms use the statistical multivariable method, Multiple Linear Regression–defined as, where “one variable is estimated by the use of more than one other variable.”  While this tool can be useful when assessing the impact and relationships of several independent variables, it does not necessarily help organizations to understand their TCO.

    Theoretically, every economic actor in the supply chain or the decommissioning process can calculate their carbon footprint for each​ product/step they control.  In the real world, such intangibles, i.e., safety are open to interpretation, ‘fudging’ or worse.  Moreover, we can expect large gaps or errors (inadvertent or otherwise) in carbon models that must be addressed if we are to realistically address the carbon problem.

    In the 1990s as a result of watching a number of systemic enterprise failures and/or poor performance, and wondering how this happened with such regularity the questions was raised–why?  This led this author coin the term with the subsequent book, Structural Dynamics: Foundation of Next Generation Management Science.

    Most do not understand the processes and structural changes at work on a daily basis.  Focused on near term performance metrics, they lose sight of the forest while concentrating on the trees.  The subsequent disruption caused is often rapid and economically cataclysmic.

    Structural Dynamics uses tools such as Structural Equation Modeling (SEM) to seek to identify the underlying process and structural movements.  It appears to be a useful tool to address the Total Carbon Ownership that organizations will have to address in the very near future.

    Dealing With Residuals

    Whether heavy metals or carbon, organizations must also assure ESG (Environmental, Social, and Governance) criteria are met throughout the energy lifecycle.  However, there is a cost associated with these and other organizational structures from the deployment and/or use of energy of all types.

    TCO is a decades long cost that can transcend actual corporate life, i.e., acquisition, bankruptcy, etc.  Currently, the oil and gas industry is littered with assets no one claims ownership.  Two cases follow:

    • Stranded assets are, “those investments which are made but which, at some time prior to the end of their economic life (as assumed at the investment decision point), are no longer able to generate an economic return, as a result of changes in the market and regulatory environment.”  These resources are no longer worth continued investment.
    • Abandoned assets have reached the end of life.  By one source, it is estimated that there are approximately 53,000 Gulf of Mexico offshore oil and gas well in this category.  Remediation costs range from $500k to $10 million per well–min $26.5 billion.

    It is reasonable to expect that all sources in the ‘energy basket’ will have similar end of life futures.  Green is therefore, not unique.

    “Forewarned is Forearmed”

    A Serious Assessment

    This pundit believes that scant attention has been paid to the lifecycle (economic and social) price of renewables and that the Total Carbon Ownership cost has never been calculated–certainly not published.  However, there are tools that will shed light on this going forward.

    TCO is a function of a detailed and long lifecycle, not unlike oil and gas assets that in some cases are over half a century old.  Any subsequent model of this process is by default complex, detailed and full of unknowns, or unmeasured latent variables.

    The approached this writer has developed using Structural Equation Modeling driven by Structural Dynamics seems well fitted to address this longitudinal and futuristic problem.

    For many, the so-called ‘green energy’ seems without consequences.  The history of energy suggests otherwise.  A full assessment using Structural Dynamics can reveal gaps, misunderstandings, errors and omissions.

    This model will advise management and even regulators what the true cost of an energy source is.  The approach is worthy of a serious discussion.  By the way, this model works for all sources of energy including coal and other fossil fuels as well as renewables.

    What is Your Firm’s TCO and How Can It be Lowered?

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

    Interested in Cross Cultural Engagement or DEI, check out our Cross Cultural Serious Game

    We presented, Should Cross Cultural Serious Games Be Included in Your Diversity Program: Best Practices and Lessons Learned at the Online Conference, New Diversity Summit 2020 the week of September 14, 2020.

    Contact the author for information on these and others subjects covered in the Critical Mass series.

  • Roadmap to Decision Making In the ‘Smart’ Era

    Roadmap to Decision Making In the ‘Smart’ Era

    “Nothing is more difficult, and therefore more precious, than to be able to decide.”

    Napoleon Bonaparte

    Volumes have been written on decision-making and this pundit has offered his share of insight and comment on the subject as well.  Some of our comments regard the appropriateness of the human intercession in electronic decision making.  Others raise questions regarding algorithm fallibility.  Moreover, Human Factors must be considered for any technology initiative which are becoming increasingly important.

    If one unpacks the previous paragraph a substantial level of complexity emerges.  As complexity increases so does risk and the need from proper governance.  However, many still see this potential transformation through the lens of just another IT initiative.

    Roadmap

    The oil and gas industry faced a similar dilemma at the dawn of the 21st Century.  At the time, referred to as DOFF or Digital Oilfield of the Future, a plethora of technologies became available.  The task was to transform 100 plus years of traditional operation to what is now referred to as the Digital Oilfield, aka Integrated Operations and a number or synonyms.  While this processes continues to evolve as new solutions emerge, i.e., Cloud, at the time much was trial and error.

    In conjunction with industry leadership, we released our Roadmap to Enterprise Optimization: A Guide to the Impact of Information Driven Field Operations on the Petroleum Corporation in the fall of 2004.  We believe it was the first industry (POSC) supported effort that was not simply research but a ‘bona fide’ action plan or roadmap to success based on industry/other knowledge, standards, economic value and best practices.

    Click for full size Integrated Operations Framework or graphic

    Since then, we have updated this roadmap into an Operational Excellence Platform.  Note that Integrated Operations is a key component.  The platform is a robust detailed solution that is available not just to the energy sector but all sectors identified by Homeland Security as Critical Infrastructure.  These sectors were recently identified as susceptible to hacking by the US government.

    Getting Smart

    Enormous corporate (shareholder) wealth has been destroyed implementing ‘game changing’ technology enabled transformation efforts.  Are we about to do that again, getting smart?  The easy answer is yes, but it does not have to be.

    Roadmap constructs are well understood and provide guidance.  In some models the step by step process provide practitioners with well defined models that can lead to success–defined as on time and under budget performance against Key Performance Indicators (KPIs).

    We are in the process of writing a book, to be released in 2022.  One chapter will define a roadmap for the transformation to ‘Smart’ for a major industrial segment.  As with earlier works, it will focus on the human element aligned with a technology assessment process.

    Get Smart was a comedic TV show spoofing the Cold War ‘spy’ environment of the 1960s.  Getting Smart today may not be a lot different.  The goal under a ‘Cone of Silence‘ was to attain and sustain competitive advantaged achieving superior stakeholder returns.

    Getting smart in 2021 will require a ‘Roadmap to Smart.’  A set of ‘to do’ processes that assures success.

    What is your Organization’s Plan to put Smart Decisioning Making Processes in Place?

     

    For More Information

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

    For more information on Cross Cultural Engagement, check out our Cross Cultural Serious Game

    We presented, Should Cross Cultural Serious Games Be Included in Your Diversity Program: Best Practices and Lessons Learned at the Online Conference, New Diversity Summit 2020 the week of September 14, 2020.  Check Out this timely event and contact the organizer for access to the presentations!!

    You can contact this author as well.