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دنیای مجازی فناوری اطلاعات +جهان=جهان بی میهن درباره وبلاگ آخرین مطالب
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چهارشنبه 25 آبان ماه سال 1390 :: 2:02 PM :: نویسنده : محمدرضا گرامی
Open University PhD candidate Gabrielle Ford has a new perspective on why, despite an abundance of expert insight, so many ERP implementations continue to fail. TEC is collaborating with Ford to provide a 20-minute survey for ERP users, and is offering three-day free access to its evaluation models and vendor data to readers who complete the survey. Take the survey now. This post signals the start of several contributions from Ford regarding the relationship users have with their ERP systems.
Organizations adopt enterprise resource planning (ERP) systems because of the benefits they expect to derive from their use. The critical issue for success is not whether the system is used (because you aren’t given a choice—you will use it), but rather that benefits arise from its use. While system use necessarily precedes full benefits realization (that’s not to discount the potential benefits to be gleaned from the exercise of gathering requirements and defining processes prior to system selection and implementation), it is the quality of the use that influences the degree to which benefits are achieved. ادامه مطلب ... چهارشنبه 27 مهر ماه سال 1390 :: 10:48 AM :: نویسنده : محمدرضا گرامی
Technology plays a major role in the business world and computer jobs it
are expected to grow rapidly in the future. The information technology
field offers a wealth of opportunities for educated and trained
professionals. In today's world, every business needs a department that
is responsible for installing and maintaining the latest technology.
Computer expertise and the ability to adapt to new technologies are very
valuable skills in today's job market.
ادامه مطلب ... سه شنبه 20 اسفند ماه سال 1387 :: 00:43 AM :: نویسنده : محمدرضا گرامی
IntroductionAn expert system is a computer application that solves complicated problems that would otherwise require extensive human expertise. To do so, it simulates the human reasoning process by applying specific knowledge and interfaces. Expert systems also use human knowledge to solve problems that normally would require human intelligence. These expert systems represent the expertise knowledge as data or rules within the computer. These rules and data can be called upon when needed to solve problems. Books and manual guides have a tremendous amount of knowledge but a human has to read and interpret the knowledge for it to be used. A system that uses human knowledge captured in a computer to solve problems that ordinarily require human expertise (Turban & Aronson, 2001). A computer program designed to model the problem solving ability of a human expert (Durkin, 1994). An intelligent computer program that uses knowledge and inference procedures to solve problems that was difficult enough to acquire significant human expertise for their solutions (Feigenbaum). Expert systems typically have a number of several components. The knowledge base is the component that contains the knowledge obtained from the domain expert. Normally the way of representing knowledge is using rules. The inference engine is the component that manipulates the knowledge found in the knowledge base as needed to arrive at a result or solution. The user interface is the component that allows the user to query the system and receive the results of those queries. Many ES's also have an explanation facility which explains why a question was asked or how a result or solution was obtained. There are several major application areas of expert system such as agriculture, education, environment, law manufacturing, medicine power systems etc. In this article we will review about agriculture, education, environment and medicine expert system. These four applications widely use among the practitioners due to the maturity of the field by revealing the acceptance of the technology by the commercial sectors. ادامه مطلب ... چهارشنبه 27 شهریور ماه سال 1387 :: 1:19 PM :: نویسنده : محمدرضا گرامی
Artificial vision gets sharper all the time. Artificial walking has made great robot strides. But artificial intelligence is brain-dead. Why? Because while researchers have built awesome technology, they've failed to grapple with philosophy. Early computer scientists like Alan Turing and John von Neumann attempted to spin logic circuitry into thinking machines. So they designed their creations to excel at tasks they thought embodied the heights of human intellect: calculating sums, analyzing geometry, and playing chess. In 1958, a computer beat a human chess player — albeit an inexperienced one — for the first time. Buoyed by this success, researchers embarked on a long attempt to invent a machine that could (a) talk just like Turing, (b) walk around in a robot body looking at stuff, picking it up, and using it neatly, (c) read newspapers and maybe correct the editors, and (d) program its own successors. The notion of intelligent machines inspired a blizzard of books and movies, but practical returns were meager. Over the years, computers failed one commonsense task after another: manipulating unfamiliar objects, understanding natural language, distinguishing a dog from a cat. Despite steady advances in hardware, no machine could think as far as to laugh at a pratfall or make a bad pun. In pursuing human-style intelligence, the geeks blundered into the deepest, densest, darkest thickets of metaphysics: consciousness, cognition, perception, self-awareness, and how "we" manage to "know" what we know. It turns out that activities like playing chess — things that require sorting and searching — are relatively easy to program, whereas tasks that require some understanding of the world at large, like doing the laundry, are unbearably complex. The metaphysical issues around AI are at a standstill, mainly because metaphysics is old and canny and doesn't move forward in the linear manner of technology. Researchers, their grand illusions and ambitions dashed, fell into a long "AI winter" of shrunken budgets and general indifference. Nowadays, Google "knows" pretty much anything you ask it. But its insanely fast and powerful work is modestly described as data-mining, not thinking. That vast, globe-spanning, superpowerful, ultrawealthy Web spider has yet to awaken and declare, "I am Google." But if it starts writing philosophy, all bets are off. شنبه 3 شهریور ماه سال 1386 :: 05:13 AM :: نویسنده : محمدرضا گرامی
Implement this simple 4-step process for creating a spectacular flashpoint culture of your own..Most towns have at least one “flashpoint” business—a place that’s famous for its turbo-charged workers and lines of eager customers. These are the local hot spots that are “always jumping,” places in which employee motivation and customer satisfaction fuel each other in a flashpoint of contagious enthusiasm. موضوعات
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