Executive Summary Most people who work with or read about AI know of the first and second bubbles and winter. What did the Lighthill report say about AI’s progress towards its goals in 1973? Introduction The first AI bubble was based upon highly inaccurate projections of what could be accomplished in generalized intelligence or Strong…
Executive Summary AI, data science, and Big Data are presently an enormous bubble. We cover the implications of this bubble. Introduction As this article is written and published in 2020, we are in the midst of the most significant AI bubble of all time. As Brightwork Research & Analysis is one of the only fact-checking…
Executive Summary AI has engaged in the projection of human consciousness onto software since its beginnings. We cover the problems with these projections. Introduction While both AI and Data Science precede Big Data as concepts, it was Big Data that went through its recent hype cycle first (That is, in recent times, excluding the previous…
Executive Summary AI has engaged in the projection of human consciousness onto software since its beginnings. We cover the problems with these projections. Introduction Since the earliest days of AI, the emphasis has been on emulating humans. As we cover in the article Who Was More Accurate, Marvin Minsky or Hubert Dreyfus on AI?, a…
Executive Summary Data science is a term that is frequently used without questioning if the term is accurate. We explain why people should think twice when using the term data science. Introduction The term data science is a recent one, and it is used without most of the listeners questioning the accuracy of what the…
Executive Summary Those trying to defend feminism will often say that they are only looking for “equality for women.” How accurate is this claim? Introduction Feminism is filled with false claims that range from there being no biological differences between men and women to the illusory pay gap. Women who align themselves with feminism try…
Executive Summary AI, data science, and Big Data are frequently based upon false statistical relationships. These false relationships are only set to increase as the pressure mounts to obtain benefits from massive AI investments. Introduction There are massively false statistical relationships being promoted by AI, Big Data, and data science. This is expressed in one…
Executive Summary Most people that work with or read about AI know of the first and second bubble and winter. The second AI bubble was centered on expert systems. So what happened to them? Introduction The first AI bubble was based upon highly inaccurate projections on what could be accomplished in generalized intelligence or Strong…
Executive Summary SAP proposed that S/4HANA would replace data warehouses. In this article, we review this prediction for accuracy. Video Introduction: The Forgotten Pipe Dream of SAP S4HANA Eliminating the Data Warehouse Text Introduction (Skip if You Watched the Video) As we cover in the article SAP’s Orwellian Memory Hole: The Response to the 2025…
Executive Summary Indian immigrants have taken IT by storm since the H1-B program was enlarged beyond its original intent in 1990. Meant to be brought in for technical roles, Indians are becoming increasingly influential in IT purchases and bringing Indian procurement. Introduction Indians have been accepted very rapidly in the US and into all manner…