Discussing AI's ethical role in our lives, its future impact, and societal changes has become common. One critical issue often overlooked is how AI will influence global power dynamics, with each continent striving to dominate algorithm mastery - USA, China, Russia, India, and Europe. Articles on AI and ethics usually highlight three levels: first, the assertion that AI should benefit the common good, considering job creation and losses. This assumption requires validation. Second, major AI players (Microsoft, OpenAI, Google) promote potential revolutionary benefits, such as universal cancer cures or affordable personal medication, which also need validation. These developments depend on feeding data models and specialized algorithms, but the outcome may be catastrophic. Furthermore, at the third level, AI's military applications are ominous, with details typically undisclosed to the public. Interested readers can explore more in the AI and Ethics Journal published by Spr...
A system is a collection of elements that interact to produce an effect that cannot be produced by any subset of the elements. This interesting definition of what is a system guides Haeckel to define the synergy (the glue between the elements): Defining synergy as a result that is "more than the sum of the parts" is closer to the mark. This definition, for example, is what the corporate office of the General Electric Company (GE) achieves by lowering the cost of doing business for its subsidiaries. Because they are part of GE's portfolio, the subsidiaries benefit from the economies of scope that come from sharing the GE logo: GE's AAA investment rating, GE's worldwide telecommunications network, and GE's 'boundaryless' knowledge, to name some of the assets that are shared accross units. The result is that the units are more profitable as part of GE than they would be as separate entities, which means that GE's revenue and profit are more than the s...
Taking advantage of the summer months to make progress with certain clients ( ironically , July and August are often the times when we advance most quickly , while focusing on some challenging or particularly complex deliverables ), I continually find myself surprised by the lack of information and the difficulty in obtaining concrete , established , indisputable data. In other words , there is a need to base decisions on clear and precise data, akin to a scientific approach . In daily management— beyond just financial aspects—IT departments must rely on clear , precise , and concise reporting to facilitate progress in digital transformation or technical debt management. Modernizing an information system and simplifying an architecture requires reliable reports that detail which version of a specific technical component is being used , what benefits simplification brings to a particular process, and how risks can...
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