Modernize The Organization for a Rapid Growing World
Most architects have not solved a calculus integral since they left school. Today they wouldn't realize how to handle one of those math issues that just took them a few minutes to do as a student. What is the purpose of keeping up an ability, which in practice they won't use in their work? They have tools that can automate this task, without margins of error and in less time. People with a wide range of higher degrees don't see an immediate connection between the academic studies they did they did and their professions. People believe that in their academic stage. they memorized large volumes of structured information that, either has become obsolete or is accessible in knowledge base to which they have 24/24 access from anywhere. We stop memorize at the point when they system stored the data is adequate reliable, up-to-date and available.
How many people who are over 40 notice to the time when they memorized frequently used phone numbers? As for today, there is no need to recollect this information because it is trick to search for the person is the smartphone calendar or just talk into the device to call up that person. Many admit to memory loss because of the lack of practice. However, they think the expertise decay is more than repaid by the advantages they gain. Besides that, shouldn't something be said about the difficult effort it takes us to gain proficiency with a few languages? Today we have remote helpers who go about as translators almost in real time. As of now have innovation that is adequately created to make ear implants so that we can understand in our own language to conversations with others using different languages. It is true that natural language and the issues communicated in an unstructured and casual way represent an extensive test for automated systems. Artificial intelligence consciousness is defeating this obstacle. It enables issues to be handled with dimensions of adaptability and versatility that are disturbingly like human ones.
Having arriving this point, most of the people and companies wonder how valuable the learning positions we have been utilizing over the ongoing hundreds of years are. We devote time and resources to obtain abilities, when we use them, they are as of now never again required: the tasks we have arranged for can be done by automated systems. Wouldn’t it make more sense to allocate these resources to develop machine learning? In principle, it would be sufficient for us to realize what we can expect from the systems available and how to access the knowledge they generate and store. The bewilderment spurred by these reflections have opened an interesting discussion. Here I have summarized some of the reflections form different platform that may provide insights for guidelines to learning in families and companies:
First, the capacity of calculation memory and other sophisticated intellectual skills exercise developmental procedures more than a large number of years. Systematically, ignoring these skills and leads to atrophy with erratic outcomes. True, intensive use of technology sets into movement different procedures that will cause us to advance in an alternate bearing, yet it isn't evident that these progressions will support humankind.
Secondly, various language are not simply compatible codes to express a similar reality. All of about 7,000 languages that people use shapes our perspective, as Lera Boroditsky passed on obviously. Citing Charlemagne, who says, "To have a second language is to have a second soul."
Third, experience with last industrial revolutions demonstrates the danger of skills atrophy. When we never again need to practice our muscles to do exercises when our survival is at stake, the issues connected with obesity and a sedentary lifestyle shoot up. However, it is also true that because of our knowledge of biomechanics and the advances in nutrition techniques, physiotherapy, and others, we find among elite athletes who are the fastest ever human beings in history or who lift the heaviest weights ever recorded.
We should not create skills to compete contend with machines more productive than people for similar undertakings, however to rival ourselves, in a tireless exertion to completely understand our most astounding potential as people and as a species.