AI GLOSSARY CATEGORY: E

What is entity extraction? Entity extraction, also known as entity identification, entity chunking, and named entity recognition (NER), is the act of locating and classifying mentions of an entity in a piece of text. It is done using a system of predefined categories, which may include anything from people or organizations to temporal and monetary […]

What is Explainable AI? Explainable AI is an upcoming concept in machine learning that addresses how black box decisions of AI systems are made. It investigates and tries to understand the steps and models involved in decisions. It allows one to comprehend the results and trust the output created by machine learning algorithms.   What […]

What is ELT? ELT (Extract, Load, and Transform) is a process data pipeline uses to replicate data from a source system into a target system. It uses cloud-based data warehousing solutions for all types of data like structured, unstructured, semi-structured, and even raw data types. It also works hand-in-hand with data lakes. Data lakes do […]

What is ETL? ETL (Extract, Transform, and Load) is a process that extracts data from different source systems, then transforms the data by applying complex calculations, concatenations and finally loads the data into the data warehouse systems. This process requires inputs from various stakeholders like developers, analysts, testers, and top executives.   Why organizations need […]