It places analytics into a workflow or application at the point of need and allows users to take immediate action without having to leave the app to gain more information to make a decision. Integrated analytics can work the other way around, meaning businesses can put a workflow inside an analytics app to streamline their processes. An example of this is an analysis application that identifies the product from inventory trends and has a mechanism that allows a planner to set the rearrangement threshold within the analysis table for that product.
Latent space refers to a multidimensional space in the background of AI and machine learning models, representing the deeper relationships of data.
NLP tokenization (NLP Tokenization) is the process of dividing raw text into “tokens”, which are small units that can be processed by machine learning models in natural language processing.
The main tasks of data analysts are to collect, process and analyze data, as well as prepare reports that can consist of graphs, diagrams, tables and other visuals.
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