Data gravity occurs when the volume of data in a warehouse increases and the number of uses also increases. In some cases, copying or moving data can be troublesome and expensive. Therefore, data tends to pull services, applications and other data into its warehouse. Primary examples of data gravity are data warehouses and data lakes. Data in these systems is inert. Scalable volumes of data often break existing infrastructure and processes, requiring risky and expensive fixes. Therefore, the best practice is to move design processing to data, not the other way around.
PaaS (Platform as a Service) is a cloud computing model that stands for “Platform as a Service”. PaaS provides software developers with a platform needed to develop, test, deploy, and manage applications.
Explainable Artificial Intelligence (XAI) is a field of artificial intelligence that focuses on the ability of artificial intelligence systems, and especially machine learning models, to explain decisions and behaviors in a way that is understandable to humans.
AI-Assisted Analytics is an advanced analysis method performed through the use of artificial intelligence and machine learning algorithms in data analysis processes. This technology has the ability to detect complex relationships in large datasets, identify patterns, and make predictions for the future.
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