Diagnostic Analysis in Business Intelligence & AI Diagnostics
The purpose of Diagnostic Analysis:
A form of Intelligent Data Analysis and one of four types of it; Diagnostic Analysis may also come under the Business Intelligence (IOT) ecosystem and Artificial Intelligence, it is used for examining information or data, informing why certain issues happen using normal and AI technology such as quantum data discovery, data analysis/mining and important correlations or any anomalies, for further data security and database improvements. the Data Analysis also helps organizations in many ways to further analyze any given issues using peripheral systems to find and solve disturbances and irrelevancies in databases,
Intelligent Data Analysis (IOT)
it is also referred to as root cause analysis, though for example. In the healthcare sector, this means it would explore PISIQ‘s quantum data and make any correlations or coincidences in the database for possible future usage through AI technology (Artificial Intelligence), For instance, it can help users determine that all of a patient’s’ symptoms—high fever, dry cough, and fatigue; that may point to the same pathogenic agent.
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In the healthcare sector, this means it would explore PISIQ’s quantum data and make any correlations or coincidences in the database for possible future usage through AI technology (Artificial Intelligence), For instance, it can help users determine that all of a patient’s’ symptoms—high fever, dry cough, and fatigue; that may point to the same pathogenic agent.” image-1=”” count=”2″ html=”true” css_class=””]
