According to Grover and Davenport (2001), artificial intelligence is a translation - According to Grover and Davenport (2001), artificial intelligence is a Indonesian how to say

According to Grover and Davenport (

According to Grover and Davenport (2001), artificial intelligence is applied in rule-based systems, and more commonly, case-based systems are used to capture
and provide access to resolutions of customer service problems, legal knowledge, new product development knowledge and many other types of knowledge.
Knowledge is explicated and formalized during the knowledge codification phase that took place in Stage 3. Codification of tacit knowledge is facilitated by
mechanisms that formalize and embed it in documents, software and systems.
However, the higher the tacit elements of the knowledge, the more difficult it is to codify. Codification of complex knowledge frequently relies on information technology. Expert systems, decision-support systems, document management systems, search engines and relational database tools represent some of the technological solutions developed to support this phase of knowledge
management. Consequently, advanced codification of knowledge emerges in
Stage 4, rather than in Stage 3, because expert systems and other artificial intelligence systems have to be applied to be successful.
Stage 4 can be labelled how-they-think. lawyer-to-application or people-to-systems where the system is intended to help solve a knowledge problem
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According to Grover and Davenport (2001), artificial intelligence is applied in rule-based systems, and more commonly, case-based systems are used to captureand provide access to resolutions of customer service problems, legal knowledge, new product development knowledge and many other types of knowledge.Knowledge is explicated and formalized during the knowledge codification phase that took place in Stage 3. Codification of tacit knowledge is facilitated bymechanisms that formalize and embed it in documents, software and systems.However, the higher the tacit elements of the knowledge, the more difficult it is to codify. Codification of complex knowledge frequently relies on information technology. Expert systems, decision-support systems, document management systems, search engines and relational database tools represent some of the technological solutions developed to support this phase of knowledgemanagement. Consequently, advanced codification of knowledge emerges inStage 4, rather than in Stage 3, because expert systems and other artificial intelligence systems have to be applied to be successful.Stage 4 can be labelled how-they-think. lawyer-to-application or people-to-systems where the system is intended to help solve a knowledge problem
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Menurut Grover dan Davenport (2001), kecerdasan buatan diterapkan dalam sistem berbasis aturan, dan lebih umum, berbasis kasus sistem yang digunakan untuk menangkap
dan menyediakan akses ke resolusi masalah layanan pelanggan, pengetahuan hukum, pengetahuan pengembangan produk baru dan banyak jenis pengetahuan.
pengetahuan explicated dan diformalkan selama fase pengetahuan kodifikasi yang berlangsung di tahap 3. kodifikasi pengetahuan tacit difasilitasi oleh
mekanisme yang memformalkan dan menanamkan dalam dokumen, perangkat lunak dan sistem.
Namun, semakin tinggi elemen diam-diam dari pengetahuan, semakin sulit adalah untuk menyusun. Kodifikasi pengetahuan yang kompleks sering bergantung pada teknologi informasi. Sistem pakar, sistem pendukung keputusan, sistem manajemen dokumen, mesin pencari dan alat database relasional mewakili beberapa solusi teknologi yang dikembangkan untuk mendukung fase ini pengetahuan
manajemen. Akibatnya, kodifikasi canggih pengetahuan muncul di
Tahap 4, bukan di Tahap 3, karena sistem pakar dan sistem kecerdasan buatan lainnya harus diterapkan untuk menjadi sukses.
Tahap 4 dapat diberi label bagaimana-mereka-berpikir. pengacara-to-aplikasi atau orang-ke-sistem di mana sistem ini dimaksudkan untuk membantu memecahkan masalah pengetahuan
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