篇名 |
AI Based Learning Model Management Framework for Private Cloud Computing
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並列篇名 | AI Based Learning Model Management Framework for Private Cloud Computing |
作者 | R. Dhaya、R. Kanthavel、Kanagaraj Venusamy |
英文摘要 | Artificial Intelligence (AI) systems are computational simulations that are “educated” using knowledge and individual expert participation to replicate a decision that a professional would make provided the same data. A model tries to simulate a specific decision loop that several scientists would take if they had access to all kinds of knowledge. To convey a model, you make a model asset in AI Platform Prediction, make a variant of that model and, at that point, interface the model form to the model record put away in Cloud Storage. AI and DB information sharing are essential for cutting-edge processing for DBMS innovation. The inspirations promoting their incorporation advances incorporate the requirement for admittance to a lot of data that is shared information handling, effective administration of data as information, and astute preparation of information. Notwithstanding these inspirations, the plan for a smart information base interface (IDI) was likewise spurred by the craving to save the considerable speculation spoke to by most existing data sets. A few general ways to deal with the connectivity of AI and databases and different improvements in the area of clever information bases were already examined and announced in this paper.
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起訖頁 | 1633-1642 |
關鍵詞 | Data base management system (DBMS)、artificial intelligence、Information base interface (IDI)、Connectivity |
刊名 | 網際網路技術學刊 |
期數 | 202212 (23:7期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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