Data analytics and AI
This glossary contains definitions related to customer data analytics, predictive analytics, data visualization and operational business intelligence. Some definitions explain the meaning of words used to Hadoop and other software tools used in big data analytics. Other definitions are related to the strategies that business intelligence professionals, data scientists, statisticians and data analysts use to make data-driven decisions.
Algorithms
Terms related to procedures or formulas for solving a problem by conducting a sequence of specified actions. In computing, algorithms in the form of mathematical instructions play an important part in search, artificial intelligence (AI) and machine learning.
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In-depth guide to machine learning in the enterprise
Machine learning (ML) is a type of artificial intelligence (AI) focused on building computer systems that learn from data. The broad range of techniques ML encompasses enables software applications to improve their performance over time.
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ensemble modeling
Ensemble modeling is the process of running two or more related but different analytical models and then synthesizing the results into a single score or spread in order to improve the accuracy of predictive analytics and data mining applications.
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anomaly detection
Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range.
Artificial intelligence
Terms related to artificial intelligence (AI), including definitions about machine learning and words and phrases about training data, algorithms, natural language processing, neural networks and automation.
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workflow automation
Workflow automation is an approach to making the flow of tasks, documents and information across work-related activities perform independently in accordance with defined business rules.
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AI prompt
An artificial intelligence (AI) prompt is a mode of interaction between a human and a large language model that lets the model generate the intended output.
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validation set
A validation set is a set of data used to train artificial intelligence (AI) with the goal of finding and optimizing the best model to solve a given problem.
Data and data management
Terms related to data, including definitions about data warehousing and words and phrases about data management.
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validation set
A validation set is a set of data used to train artificial intelligence (AI) with the goal of finding and optimizing the best model to solve a given problem.
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data labeling
Data labeling is the process of identifying and tagging data samples commonly used in the context of training machine learning (ML) models.
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dimensionality reduction
Dimensionality reduction is a process and technique to reduce the number of dimensions -- or features -- in a data set.
Database management
Terms related to databases, including definitions about relational databases and words and phrases about database management.
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In-depth guide to machine learning in the enterprise
Machine learning (ML) is a type of artificial intelligence (AI) focused on building computer systems that learn from data. The broad range of techniques ML encompasses enables software applications to improve their performance over time.
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distributed ledger technology (DLT)
Distributed ledger technology (DLT) is a digital system for recording the transaction of assets in which the transactions and their details are recorded in multiple places at the same time.
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C++
C++ is an object-oriented programming (OOP) language that is viewed by many as the best language for creating large-scale applications. C++ is a superset of the C language.